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我发的是 香港新世纪文化出版社 的 《International Journal of Medicine and Life Sciences 医学生命科学类国际中、英期刊——国际医学与生命科学杂志》，感觉还不错 知网收录了嘛。也不贵，也算国际期刊，感觉真是屌屌的。。个人推荐哈，希望可以帮助到你。
R 综合性医药卫生 1.中华医学杂志 2.第四军医大学学报 3.北京大学学报.医学版 4.第二军医大学学报 5.第三军医大学学报 6.解放军医学杂志 7.中国医学科学院学报 8.复旦学报.医学版 9.同济医科大学学报（改名为：华中科技大学学报.医学版） 10.白求恩医科大学学报（改名为：吉林大学学报.医学版） 11.湖南医科大学学报（改名为：中南大学学报.医学版） 12.华西医科大学学报（改名为：四川大学学报.医学版）13.第一军医大学学报 14.苏州医学院学报（改名为：苏州大学学报.医学版） 15.广东医学 16.上海医学 17.军事医学科学院院刊 18.上海第二医科大学学报 19.中国医科大学学报 20.中山医科大学学报（改名为：中山大学学报.医学科学版） 21.西安医科大学学报（改名为：西安交通大学学报.医学版）22.江苏医药 23.新医学 24.天津医药 25.山东医科大学学报（改名为：山东大学学报.医学版）26.南京医科大学学报.自然科学版 27.军医?/ca>参考资料：核心期刊论文发表中心-中国高端论文网
医学界的“四大灌水神刊”— 《Oncotarget》、《Medcine》、《Scientific Reports》、《Plos One》。在医学界一直流传着“四大神刊”的传说，为什么说是四大神刊呢，原因大抵有三，一是因为影响因子适中，科研单位认可；二是这些期刊每年发文量大，又对创新性没有过高的要求，发表相对容易。《Oncotarget》在2018年已经被SCI剔除，已经走下了神坛，在此不多做介绍。《Medcine》的影响因子为，研究领域涉及到医药科学方向，包括神经系统和精神疾病 神经发育、遗传、代谢相关疾病等各类疾病药物，投稿周期3-5个月作用。《Scientific Reports》为Natrure 出版集团旗下的综合性科学期刊，对文章创新性没有过高要求，但要求一定要数据严谨，影响因子在，投稿周期快则两周，慢则一年不等。《Plos One》，属于3区的综合性期刊，影响因子为，审稿周期在2-3个月。03、肿瘤领域的王牌SCI生物学中以肿瘤研究最火，在肿瘤领域有几大王牌SCI，影响因子甚至比CNS都高个几倍，一旦能发上个一篇，科研道路必定平顺得多了。（1）经典期刊《Cancer Journal for Clinicians》，影响因子为，审稿周期一个月左右，以约稿居多；《Nature reviews cancer》，影响因子为，审稿周期在1-3个月之间，以约稿居多；《Cancer cell》，影响因子为，审稿周期在1-2个月之间。（2）高性价比期刊《Medical Oncology》，影响因子为，审稿周期在1-2个月之间；《Oncology reports》，影响因子为，审稿周期在1个月-半年之间。《psycho-oncology》，影响因子为，审稿周期在3-8周。04、神经科学领域的SCI大咖神经科学领域作为生物学中“高大上”的一支，自然也少不了一些专业领域的SCI大咖的存在。我们就介绍最为著名的几个期刊。（1）经典期刊《Nature neuroscience》，影响因子为，审稿周期在2个月之间；《Neuron》，影响因子为，审稿周期在3个月左右；《Brain》，影响因子为，审稿周期在1-2个月左右。（2）高性价比期刊《Brain Research》，影响因子为，审稿周期在1-8个月之间；《Brain Research Bulletin》，影响因子为，审稿周期在1-4个月之间。05、免疫领域的几大SCI期刊免疫学领域是一个比较大的领域，很多医学研究往往都涉及到了免疫学的内容。我们来了解一下免疫学的几个常见的期刊。（1）经典期刊《Annual Review of Immunology》，影响因子为，审稿周期在2个月左右或约稿；《Nature Immunity》，影响因子，审稿周期在1-2个月之间；《Immunity》，影响因子为，审稿周期平均6个月左右。（2）高性价比期刊《Autoimmunity》，影响因子为，，审稿周期为1-3个月；《Journal of Microbiology, Immunology and Infection》，影响因子为，审稿周期为1个月；《BMC immunology》，影响因子为，审稿周期为1个月左右。06、心血管领域的SCI大佬和平民期刊心血管领域也是医学领域的一大分支，吸引着一大批学者的研究。心血管领域有哪些大佬级的SCI期刊呢（1）经典期刊《Journal of the American College of Cardiology》，影响因子，审稿周期在2-4周；《European Heart Journal》，影响因子，审稿周期平均一个月；《Circulation》，影响因子，审稿周期在2个月左右。（2）高性价比期刊《Canadian Journal of Cardiology》，影响因子，审稿周期在1-2个月之间； 《Cardiology》，影响因子，审稿周期在1-2个月之间。《Cardiovascular Drugs and Therapy》，影响因子，审稿周期在个月左右。07、内分泌领域的不可不知的SCI期刊内分泌领域涉及到糖尿病、高血压、肥胖症等多种常见疾病，但到目前为止仍然没有有效的治疗方法，吸引了很多科学家来研究。我们介绍几本常见的内分泌领域的SCI期刊。（1）经典期刊《Lancet Diabetes & Endocrinology》，影响因子，审稿周期不定。《Cell Metabolism》，影响因子，审稿周期1-3个月。《Molecular Metabolism》，影响因子，审稿周期1-3个月。（2）高性价比期刊《Frontiers in Endocrinology》，影响因子，审稿周期不定。《NEUROPEPTIDES》，影响因子，审稿周期1-2个月或约稿。《Nutrition & Diabetes》，影响因子，审稿周期1-2个月或约稿。08、消化领域的热门SCI期刊消化领域是生命科学领域的一个重要板块，该领域不乏重量级以及价优质廉的SCI期刊。（1）经典期刊《Gastroenterology》，影响因子，审稿周期平均1-5个月。《Gut》，影响因子，审稿周期平均1-2个月。《HEPATOLOGY》，影响因子，审稿周期平均1-3个月。（2）高性价比期刊《Hepatology International》，影响因子，审稿周期1-3个月；《Gut Pathogens》，影响因子，审稿周期3个月左右或约稿；《Journal of Neurogastroenterology and Motility》，影响因子，审稿周期不定。09、骨科领域的必备SCI期刊骨科的研究，从分子生物学理论的研究，到各种支架材料，干细胞诱导分化，研究的方向越来越多元化。那么，骨科领域有哪些常见的期刊呢？（1）经典期刊《AMERICAN JOURNAL OF SPORTS MEDICINE》，影响因子，审稿周期2-4周；《OSTEOARTHRITIS AND CARTILAGE》，影响因子，审稿周期3-8周；《Journal of Physiotherapy》，影响因子，审稿周期3个月或约稿。（2）高性价比期刊《PHYSICAL THERAPY》，影响因子，审稿周期4-8周；《JOURNAL OF ARTHROPLASTY》，影响因子，审稿周期2-4周；《JOURNAL OF ORTHOPAEDIC RESEARCH》，影响因子，审稿周期3-6周。010、呼吸领域不能忽略的SCI期刊近年来，对于呼吸的生理和病理生理、缺氧和进行呼吸病学诊断治疗及发病机制的研究越来越深入，一些呼吸领域关于基础和临床的研究也越来越多。呼吸领域有哪些SCI值得我们关注呢？（1）经典期刊《Lancet Respiratory Medicine》，影响因子，审稿周期不定；《EUROPEAN RESPIRATORY JOURNAL》，影响因子，审稿周期2-4周；《AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE》，影响因子，审稿周期3周-8个月。（2）高性价比期刊《RESPIRATION》，影响因子，审稿周期4-8周；《BMC Pulmonary Medicine》，影响因子，审稿周期6-12周；《COPD-Journal of Chronic Obstructive Pulmonary Disease》，影响因子，审稿周期6-12周。最近得知有一些发表很快的SCI医学期刊，影响因子还不低，抓紧投稿还能趁一波东风
The Chinese Medical Journal是中国唯一英文百年老刊 ,创刊于1887年，当时名称为The China Medical Missionary Journal，后经数次更名，最终于1932年正式定名为The Chinese Medical Journal。该刊为中华医学会会刊，目前由中国科协主管、《中华医学杂志》社有限责任公司主办，是我国唯一被SCI核心版收录、具有百年以上历史的医学期刊。该刊2013年11月获得“中国科技期刊国际影响力提升计划”B类项目资助，2016年8月获得“中国科技期刊国际影响力提升计划”B类项目资助，2019年12月入选中国科技期刊卓越行动计划领军期刊类项目。 1）载文范围CMJ 主要刊载医学领域与健康、伦理和社会问题有关的技术和临床研究。 2）载文情况CMJ 每年载文均未超过1000篇；2013年发文量达到顶峰（999篇），随后逐年下降；2016年至今年发文量均未超过600篇；2020年至今已发表427篇。作为一本旨在传播中国医学新技术、新成果、新经验的英文期刊，每年中国作者载文量一般都在90%以上。 3）影响因子：CMJ作为百年老刊，近3年影响因子一直稳定在左右。 4）据2019 JCR报告，CMJ 位于医学：综合性和内科Q3。据2020年1月中科院SCI期刊分区表，CMJ位于医学三区、医学：内科三区 。 论文翻译润色可以到国际科学编辑，国际科学编辑凭借在这一领域内多年的经验，和在欧洲、北美和澳大利亚等英语母语国家已经拥有的一个值得信赖并高质量的编辑队伍，可以为全世界的科学家提供英语母语化润色服务。 回答参考资料
常见的英文医学检索数据库：
1、Medline——bai世界上最著名的医学文献检索系统之一
2、AIDS Databases——有关艾滋病的临床实验、药物研制以及相关文献数据库
3、CANCERLIT——癌症数据库(National Cancer Institute)
4、CHID online——综合卫生信息数据库，提供有关卫生、卫生教育资源的题录、文摘等信息
5、——向医患人员提供的临床实验信息数据库
6、DIRLINE——收集美国约17,000个政府机构、研究机构、公司、学术机构等信息
7、药物信息库——包含有9,000余种美国处方与非处方药物信息
8、HSTAT——包括有健康指南、评价、和消费者指南信息的全文数据库
9、NCCAM Resources——补充和替代医学资源
《中文核心期刊要目总览》（2011版）收录临床医学的核心期刊如下（共20种）：1.中国危重病急救医学 2.中华超声影像学杂志 3.中国医学影像技术 4.中国康复医学杂志 5.中华检验医学杂志 6.中华物理医学与康复杂志 7.中国超声医学杂志 8.中华护理杂志9.临床与实验病理学杂志 10.中国输血杂志 11.中华急诊医学杂志 12.中国急救医学 13.临床检验杂志14.诊断病理学杂志 15.中国康复理论与实践 16.中国医学影像学杂志 17.中国中西医结合急救杂志 18.中国疼痛医学杂志 19.中国感染与化疗杂志 20.中国实用护理杂志SCIE收录的医学类期刊较多，给你提供下列三种：1. CONTEMPORARY CLINICAL TRIALS（缩写：CONTEMP CLIN TRIALS）Bimonthly ISSN: 1551-7144ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, USA, NY, 10010-17102. EUROPEAN JOURNAL OF CLINICAL INVESTIGATION（缩写：EUR J CLIN INVEST）Monthly ISSN: 0014-2972WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-57743. CLINICAL SCIENCE（缩写：CLIN SCI）Monthly ISSN: 0143-5221PORTLAND PRESS LTD, CHARLES DARWIN HOUSE, 12 ROGER STREET, LONDON, ENGLAND, WC1N 2JU
包括有：英语医学科技论文中分词、合成词作定语以及名词连缀的使用英语医学科技论文写作中的常见错误英文医学科技论文中数词的用法及数字的写法外文斜体的使用方法 希望能帮助到你，望采纳！
据学术堂了解，在医学英语论文写作的过程中，主要应该注意论文的题目、摘要及引言三个部分。题目：概括性强、体现创新性、精炼题目写作注意事项：英文题目以短语为主要形式，尤以名词短语最常见，即题目基本上由一个或几个名词加上其前置和（或）后置定语构成，例如The fabrication of…短语型题目要确定好中心词，再进行前后修饰。各个词的顺序很重要，词序不当，会导致表达不准摘要：与结论不重复，体现整个文章的结论和思想，包括研究工作的目的、方法、结果和应用等摘要写作注意事项： 摘要是以提供文献内容梗概为目的，不加评论和补充解释，简明、确切地记述文献重要内容的短文。其基本要素包括研究目的、方法、结果和结论引言： 主要研究进展，有代表性的同行研究工作，自己与他人工作对比的优势和不足，前言的参考文献选取代表性的、重要的文献
Artificial Intelligence (AI) is the intelligence of machines and the branch of computer science which aims to create it. Textbooks define the field as "the study and design of intelligent agents,"[1] where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success.[2] John McCarthy, who coined the term in 1956,[3] defines it as "the science and engineering of making intelligent machines."[4]The field was founded on the claim that a central property of human beings, intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine.[5] This raises philosophical issues about the nature of the mind and limits of scientific hubris, issues which have been addressed by myth, fiction and philosophy since antiquity.[6] Artificial intelligence has been the subject of breathtaking optimism,[7] has suffered stunning setbacks[8] and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.[9]AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other.[10] Subfields have grown up around particular institutions, the work of individual researchers, the solution of specific problems, longstanding differences of opinion about how AI should be done and the application of widely differing tools. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.[11] General intelligence (or "strong AI") is still a long-term goal of (some) research.[12]Thinking machines and artificial beings appear in Greek myths, such as Talos of Crete, the golden robots of Hephaestus and Pygmalion's Galatea.[13] Human likenesses believed to have intelligence were built in every major civilization: animated statues were worshipped in Egypt and Greece[14] and humanoid automatons were built by Yan Shi,[15] Hero of Alexandria,[16] Al-Jazari[17] and Wolfgang von Kempelen.[18] It was also widely believed that artificial beings had been created by Jābir ibn Hayyān,[19] Judah Loew[20] and Paracelsus.[21] By the 19th and 20th centuries, artificial beings had become a common feature in fiction, as in Mary Shelley's Frankenstein or Karel Čapek's . (Rossum's Universal Robots).[22] Pamela McCorduck argues that all of these are examples of an ancient urge, as she describes it, "to forge the gods".[6] Stories of these creatures and their fates discuss many of the same hopes, fears and ethical concerns that are presented by artificial problem of simulating (or creating) intelligence has been broken down into a number of specific sub-problems. These consist of particular traits or capabilities that researchers would like an intelligent system to display. The traits described below have received the most attention.[11][edit] Deduction, reasoning, problem solvingEarly AI researchers developed algorithms that imitated the step-by-step reasoning that human beings use when they solve puzzles, play board games or make logical deductions.[39] By the late 80s and 90s, AI research had also developed highly successful methods for dealing with uncertain or incomplete information, employing concepts from probability and economics.[40]For difficult problems, most of these algorithms can require enormous computational resources — most experience a "combinatorial explosion": the amount of memory or computer time required becomes astronomical when the problem goes beyond a certain size. The search for more efficient problem solving algorithms is a high priority for AI research.[41]Human beings solve most of their problems using fast, intuitive judgments rather than the conscious, step-by-step deduction that early AI research was able to model.[42] AI has made some progress at imitating this kind of "sub-symbolic" problem solving: embodied approaches emphasize the importance of sensorimotor skills to higher reasoning; neural net research attempts to simulate the structures inside human and animal brains that gives rise to this intelligenceMain articles: Strong AI and AI-completeMost researchers hope that their work will eventually be incorporated into a machine with general intelligence (known as strong AI), combining all the skills above and exceeding human abilities at most or all of them.[12] A few believe that anthropomorphic features like artificial consciousness or an artificial brain may be required for such a project.[74]Many of the problems above are considered AI-complete: to solve one problem, you must solve them all. For example, even a straightforward, specific task like machine translation requires that the machine follow the author's argument (reason), know what is being talked about (knowledge), and faithfully reproduce the author's intention (social intelligence). Machine translation, therefore, is believed to be AI-complete: it may require strong AI to be done as well as humans can do it.[75][edit] ApproachesThere is no established unifying theory or paradigm that guides AI research. Researchers disagree about many issues.[76] A few of the most long standing questions that have remained unanswered are these: should artificial intelligence simulate natural intelligence, by studying psychology or neurology? Or is human biology as irrelevant to AI research as bird biology is to aeronautical engineering?[77] Can intelligent behavior be described using simple, elegant principles (such as logic or optimization)? Or does it necessarily require solving a large number of completely unrelated problems?[78] Can intelligence be reproduced using high-level symbols, similar to words and ideas? Or does it require "sub-symbolic" processing?[79][edit] Cybernetics and brain simulationMain articles: Cybernetics and Computational neuroscience There is no consensus on how closely the brain should be the 1940s and 1950s, a number of researchers explored the connection between neurology, information theory, and cybernetics. Some of them built machines that used electronic networks to exhibit rudimentary intelligence, such as W. Grey Walter's turtles and the Johns Hopkins Beast. Many of these researchers gathered for meetings of the Teleological Society at Princeton University and the Ratio Club in England.[24] By 1960, this approach was largely abandoned, although elements of it would be revived in the can one determine if an agent is intelligent? In 1950, Alan Turing proposed a general procedure to test the intelligence of an agent now known as the Turing test. This procedure allows almost all the major problems of artificial intelligence to be tested. However, it is a very difficult challenge and at present all agents intelligence can also be evaluated on specific problems such as small problems in chemistry, hand-writing recognition and game-playing. Such tests have been termed subject matter expert Turing tests. Smaller problems provide more achievable goals and there are an ever-increasing number of positive broad classes of outcome for an AI test are:Optimal: it is not possible to perform better Strong super-human: performs better than all humans Super-human: performs better than most humans Sub-human: performs worse than most humans For example, performance at draughts is optimal,[143] performance at chess is super-human and nearing strong super-human,[144] and performance at many everyday tasks performed by humans is quite different approach is based on measuring machine intelligence through tests which are developed from mathematical definitions of intelligence. Examples of this kind of tests start in the late nineties devising intelligence tests using notions from Kolmogorov Complexity and compression [145] [146]. Similar definitions of machine intelligence have been put forward by Marcus Hutter in his book Universal Artificial Intelligence (Springer 2005), which was further developed by Legg and Hutter [147]. Mathematical definitions have, as one advantage, that they could be applied to nonhuman intelligences and in the absence of human is a common topic in both science fiction and in projections about the future of technology and society. The existence of an artificial intelligence that rivals human intelligence raises difficult ethical issues and the potential power of the technology inspires both hopes and Shelley's Frankenstein,[160] considers a key issue in the ethics of artificial intelligence: if a machine can be created that has intelligence, could it also feel? If it can feel, does it have the same rights as a human being? The idea also appears in modern science fiction: the film Artificial Intelligence: . considers a machine in the form of a small boy which has been given the ability to feel human emotions, including, tragically, the capacity to suffer. This issue, now known as "robot rights", is currently being considered by, for example, California's Institute for the Future,[161] although many critics believe that the discussion is premature.[162]Another issue explored by both science fiction writers and futurists is the impact of artificial intelligence on society. In fiction, AI has appeared as a servant (R2D2 in Star Wars), a law enforcer (. "Knight Rider"), a comrade (Lt. Commander Data in Star Trek), a conqueror (The Matrix), a dictator (With Folded Hands), an exterminator (Terminator, Battlestar Galactica), an extension to human abilities (Ghost in the Shell) and the saviour of the human race (R. Daneel Olivaw in the Foundation Series). Academic sources have considered such consequences as: a decreased demand for human labor,[163] the enhancement of human ability or experience,[164] and a need for redefinition of human identity and basic values.[165]Several futurists argue that artificial intelligence will transcend the limits of progress and fundamentally transform humanity. Ray Kurzweil has used Moore's law (which describes the relentless exponential improvement in digital technology with uncanny accuracy) to calculate that desktop computers will have the same processing power as human brains by the year 2029, and that by 2045 artificial intelligence will reach a point where it is able to improve itself at a rate that far exceeds anything conceivable in the past, a scenario that science fiction writer Vernor Vinge named the "technological singularity".[164] Edward Fredkin argues that "artificial intelligence is the next stage in evolution,"[166] an idea first proposed by Samuel Butler's "Darwin among the Machines" (1863), and expanded upon by George Dyson in his book of the same name in 1998. Several futurists and science fiction writers have predicted that human beings and machines will merge in the future into cyborgs that are more capable and powerful than either. This idea, called transhumanism, which has roots in Aldous Huxley and Robert Ettinger, is now associated with robot designer Hans Moravec, cyberneticist Kevin Warwick and inventor Ray Kurzweil.[164] Transhumanism has been illustrated in fiction as well, for example in the manga Ghost in the Shell and the science fiction series Dune. Pamela McCorduck writes that these scenarios are expressions of the ancient human desire to, as she calls it, "forge the gods."[6]
你可以去创新医学网上看看，而且还有翻译服务。
CHINESE MEDICAL JOURNAL《中华医学杂志》(英文版) 月刊 ISSN:0366-6999 影响因子 CELL RESEARCH《细胞研究》(英文版) 双月刊 1001-0602 中西医结合杂志(英文版)中医杂志(英文版)中国药理学杂志
看你需要哪个领域吧，你找找统计源期刊目录
来蹭分的~~
你可以选择综合类的中国期刊英文版来投一下，下面我推荐几个供你选择：1、刊名： China Medical Abstracts (Internal Medicine) 中国医学文摘.内科学分册(英文版)2、刊名： China Medical Abstracts(Surgery) 中国医学文摘.外科学分册(英文版)3、刊名： Chinese Medical Sciences Journal 中国医学科学杂志(英文版)4、刊名： Chinese Medical Journal 中华医学杂志(英文版)主办： 中华医学会周期： 半月5、刊名： Journal of Microbiology and Immunology 中华微生物学和免疫学杂志(英文版)主办： 中华医学会周期： 季刊
看你需要哪个领域吧，你找找统计源期刊目录
医学四大期刊名单：1、新英格兰医学杂志（NEM）。2、柳叶刀（ Lancet）。3、美国医学会杂志（JAMA）。4、英国医学期刊（BMJ）。作为医学界的四大期刊，其医学学术文章享誉全球。 扩展资料 1、新英格兰医学杂志（NEM）。新英格兰医学期刊（ The New England Journal of Medicine；简称NEJM）是由美国麻州医学协会（ Massachusetts Medical Society）所出版的同行评审性质全科医学周刊。其在2015年的影响因子（IF）为55873.期刊内容包含对生物医学科学与临床实践具有重要意义的一系列主题方面的医学研究新成果、综述文章和社论。2、柳叶刀（ Lancet）。《柳叶刀》期刊登载有：原创性的研究文章、评论文章（小组讨论及评论'）、社论、书评、短篇硏究文章、也有其它-些在刊内常登载的'文章诸如：特刊消息、及案例报道等。其在2015年的影响因子（IF）为45217。3、美国医学会杂志（JAMA）。JAMA比较注重其教育职能，利用该杂志的 Continuing Medical Education栏目向临床医师提供基础医学与临床医学方面的继续医学教育服务。该刊2015年影响因子（IF值）为35289。4、英国医学期刊（BMJ）。《英国医学期刊（BMJ）》是英国医学会会刊，全英文为“ British medical journal”，它有着160年的悠久历史，具有深厚的文化积淀和独特的风格特色，在所有综合性医学期刊中最具综合性，该刊2015年影响因子（IF值）为16378分。其栏目丰富多彩，述评、新闻、综述、争鸣等类型的文章为广大医生所欢迎。其内容除了与临床工作密切相关的信息与知识外，还涉及与医学相关的政治、经济、社会、教育、伦理、公共卫生等诸多方面。
《柳叶刀》是1823年爱思唯尔（Elsevier）出版公司出版的杂志，部分是由李德·爱思唯尔（Reed Elsevier）集团协同出版。1823年由汤姆·魏克莱（Thomas Wakley）所创刊，他以外科手术刀“柳叶刀”（Lancet）的名称来为这份刊物命名，而“Lancet”在英语中也是“尖顶穹窗”的意思，借此寓意著期刊立志成为“照亮医界的明窗”（to let in light）。
2013年10月，英国世界权威医学杂志《柳叶刀》支持巴勒斯坦民族权力机构已故主席阿拉法特系死于钋中毒的说法，并刊登了瑞士科学家的有关调查报告，证实阿拉法特系放射性元素钋210中毒死亡。