James Jin

3.8k citations
36 papers · 3.1k · 1 hit paper · h-index 12

Impact in

Papers in

James Jin

35 papers receiving 3.0k citations

James Jin's Hit Papers

Oral Fingolimod or Intramuscular Interferon for Relapsing Multiple Sclerosis 2010 · 1.8k citations
1.8k0+5+10Years since publication50010001.5k

Peers

James Jin
Comparison fields: 5 of 61
  • Pathology and Forensic Medicine 1.2k
  • Cardiology and Cardiovascular Medicine 990
  • Internal Medicine 26
  • Genetics 70
  • Neurology 29
Replace Małgorzata Leyk with:
Małgorzata Leyk United States
Hayato Ogawa Japan
José Mario Sabio Spain
Benjamin Funke Germany
Matthew R. Zeglinski Canada
Melissa A. Marshall United States
Elizabeth L. Dicks Canada
Jacqueline Taylor United Kingdom
Yidan Su Australia
Eugenio E. Damasio Italy
James Jin relative to Małgorzata Leyk United States Małgorzata Leyk's profile →
Citations per field
00.5×10×20×30×41.3×
Małgorzata Leyk · 1×
Citations per year

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-authors

The 25 scholars most cited alongside James Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Jin Line = papers co-authored together James Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Oral Fingolimod or Intramuscular Interferon for Relapsing Multiple Sclerosis
Hit paper breakdown →
20101826
2 2016237
3 2007220
4 2016205
5 2008134
6 2018130
7 2013125
8 200944
9 201529
10 200823
11 201923
12 201714
13 201812
14 202012
15 200911
16 201911
17 20209
18 20178
19 20167
20 20227

About James Jin

James Jin is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Genetics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (25 papers), Renin-Angiotensin System Studies (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Glioma Diagnosis and Treatment (1 paper), Blood Pressure and Hypertension Studies (1 paper), Multiple Sclerosis Research Studies (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Cardiology and Cardiovascular Medicine (990 citations), Internal Medicine (26 citations), Genetics (70 citations) and Neurology (29 citations). James Jin has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Klaus Tiel‐Wilck, Guillermo Izquierdo, Jean Pelletier, Shreeram Aradhye, Frederik Barkhof, Hans‐Peter Hartung, Xavier Montalbán, Gıancarlo Comı, Jeffrey Allen Cohen and Tracy E. Stites. Their work appears in journals such as The American Journal of Cardiology, Journal of the American Heart Association, Clinical Research in Cardiology, Clinical Therapeutics and American Heart Journal.

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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