James Jin

3.8k total citations · 1 hit paper
41 papers, 2.8k citations indexed

About

James Jin is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Molecular Biology. According to data from OpenAlex, James Jin has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cardiology and Cardiovascular Medicine, 5 papers in Internal Medicine and 3 papers in Molecular Biology. Recurrent topics in James Jin's work include Atrial Fibrillation Management and Outcomes (27 papers), Cardiac Arrhythmias and Treatments (21 papers) and Cardiac electrophysiology and arrhythmias (13 papers). James Jin is often cited by papers focused on Atrial Fibrillation Management and Outcomes (27 papers), Cardiac Arrhythmias and Treatments (21 papers) and Cardiac electrophysiology and arrhythmias (13 papers). James Jin collaborates with scholars based in United States, Germany and Spain. James Jin's co-authors include Bhupendra Khatri, Frederik Barkhof, Tracy Stites, Ludwig Kappos, Jean Pelletier, Hans‐Peter Hartung, Klaus Tiel‐Wilck, Gıancarlo Comı, Jeffrey A. Cohen and Ruggero Capra and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

James Jin

37 papers receiving 2.7k citations

Hit Papers

Oral Fingolimod or Intramuscular Interferon for Relapsing... 2010 2026 2015 2020 2010 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Jin United States 12 1.2k 1.0k 815 427 350 41 2.8k
Richard Brandl Germany 24 108 0.1× 531 0.5× 891 1.1× 98 0.2× 175 0.5× 61 2.5k
Kelly A. Volcik United States 27 264 0.2× 703 0.7× 601 0.7× 35 0.1× 175 0.5× 48 2.8k
Zhengyu Luo United States 13 153 0.1× 398 0.4× 985 1.2× 115 0.3× 148 0.4× 22 2.1k
Enrico Floßmann United Kingdom 14 77 0.1× 419 0.4× 230 0.3× 349 0.8× 247 0.7× 23 1.8k
Barbara Girerd France 33 112 0.1× 1.4k 1.3× 757 0.9× 37 0.1× 151 0.4× 68 3.9k
Cuong V. Nguyen United States 21 489 0.4× 397 0.4× 656 0.8× 88 0.2× 591 1.7× 73 2.1k
Götz Münch Germany 26 141 0.1× 1.2k 1.2× 686 0.8× 28 0.1× 169 0.5× 66 2.2k
Roger Kranzhöfer Germany 15 118 0.1× 681 0.7× 418 0.5× 31 0.1× 177 0.5× 23 1.9k
Hidekazu Ota Japan 18 413 0.3× 186 0.2× 277 0.3× 54 0.1× 407 1.2× 74 1.3k
Shailender Singh United States 21 216 0.2× 356 0.3× 240 0.3× 68 0.2× 558 1.6× 102 1.8k

Countries citing papers authored by James Jin

Since Specialization
Citations

This map shows the geographic impact of James Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Jin more than expected).

Fields of papers citing papers by James Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Jin. The network helps show where James Jin may publish in the future.

Co-authorship network of co-authors of James Jin

This figure shows the co-authorship network connecting the top 25 collaborators of James Jin. A scholar is included among the top collaborators of James Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Jin. James Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hengstenberg, Christian, Martin Unverdorben, Helge Möllmann, et al.. (2024). Risk Factors of Ischemic Stroke in Patients With Atrial Fibrillation After Transcatheter Aortic Valve Implantation from the Randomized ENVISAGE-TAVI AF Trial. The American Journal of Cardiology. 227. 98–104. 1 indexed citations
2.
Zahir, Hamim, et al.. (2024). Pharmacokinetics, Pharmacodynamics, and Safety of Edoxaban in Pediatric Subjects: A Phase I Single‐Dose Study. Clinical Pharmacology & Therapeutics. 116(3). 736–746. 1 indexed citations
3.
Chen, Cathy, Manish Saxena, Christian von Heymann, et al.. (2023). Edoxaban use in the context of dental procedures: analysis from the EMIT-AF/VTE database. BDJ Open. 9(1). 38–38.
4.
Zhou, Xiaofei, et al.. (2023). 17 Humanized NKP46 mouse models for testing novel NK cell-based immunotherapies. SHILAP Revista de lepidopterología. A19–A19. 1 indexed citations
5.
Yamamoto, Masanori, Kentaro Hayashida, Christian Hengstenberg, et al.. (2023). Predictors of All-Cause Mortality After Successful Transcatheter Aortic Valve Implantation in Patients With Atrial Fibrillation. The American Journal of Cardiology. 207. 150–158. 1 indexed citations
6.
Zhou, Xiaofei, et al.. (2023). Abstract 5178: Humanized OX40/OX40L mice as a tool for evaluating novel therapeutics. Cancer Research. 83(7_Supplement). 5178–5178.
7.
Hengstenberg, Christian, Nicolas M. Van Mieghem, Xiaomei Ye, et al.. (2023). Treatment Satisfaction and Convenience for Patients With Atrial Fibrillation on Edoxaban or Vitamin K Antagonists After Transcatheter Aortic Valve Replacement: A Post Hoc Analysis from the ENVISAGE-TAVI AF Trial. The American Journal of Cardiology. 209. 212–219. 1 indexed citations
8.
Mehran, Roxana, Alessandro Spirito, James Jin, et al.. (2023). Sex Differences Among Patients Receiving Edoxaban vs Vitamin K Antagonist for Atrial Fibrillation After TAVR. JACC Advances. 2(2). 100259–100259.
9.
Jin, James, Árpád Szomor, Florian Hiemeyer, et al.. (2021). 826O Copanlisib plus rituximab vs placebo plus rituximab in patients (pts) with relapsed marginal zone lymphoma (MZL) treated in the phase III CHRONOS-3 trial. Annals of Oncology. 32. S773–S774. 2 indexed citations
11.
Goette, Andreas, Gregory Y.H. Lip, James Jin, et al.. (2020). Differences in Thromboembolic Complications Between Paroxysmal and Persistent Atrial Fibrillation Patients Following Electrical Cardioversion (From the ENSURE-AF Study). The American Journal of Cardiology. 131. 27–32. 10 indexed citations
12.
Lip, Gregory Y.H., José Luís Merino, Maciej Banach, et al.. (2018). Impact of Body Mass Index on Outcomes in the Edoxaban Versus Warfarin Therapy Groups in Patients Underwent Cardioversion of Atrial Fibrillation (from ENSURE-AF). The American Journal of Cardiology. 123(4). 592–597. 10 indexed citations
13.
Fanola, Christina, Christian T. Ruff, Sabina A. Murphy, et al.. (2017). EFFICACY AND SAFETY OF EDOXABAN IN PATIENTS WITH ATRIAL FIBRILLATION AND ACTIVE MALIGNANCY: AN ANALYSIS OF ENGAGE AF – TIMI 48 RANDOMIZED CLINICAL TRIAL. Journal of the American College of Cardiology. 69(11). 325–325. 6 indexed citations
14.
15.
Goette, Andreas, José Luís Merino, Michael D. Ezekowitz, et al.. (2016). Edoxaban versus enoxaparin–warfarin in patients undergoing cardioversion of atrial fibrillation (ENSURE-AF): a randomised, open-label, phase 3b trial. The Lancet. 388(10055). 1995–2003. 177 indexed citations
16.
17.
Han, Kelong, Min Ren, Wolfgang Wick, et al.. (2013). Progression-free survival as a surrogate endpoint for overall survival in glioblastoma: a literature-based meta-analysis from 91 trials. Neuro-Oncology. 16(5). 696–706. 106 indexed citations
18.
Cohen, Jeffrey A., Frederik Barkhof, Gıancarlo Comı, et al.. (2010). Oral Fingolimod or Intramuscular Interferon for Relapsing Multiple Sclerosis. New England Journal of Medicine. 362(5). 402–415. 1638 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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