Jonathan E. Feig

34 papers receiving 3.0k citations

Peers

Jonathan E. Feig
Comparison fields: 5 of 119
  • Immunology 1.2k
  • Cancer Research 410
  • Surgery 1.0k
  • Endocrinology, Diabetes and Metabolism 337
  • Immunology and Allergy 117
Replace Judith C. Sluimer with:
Judith C. Sluimer Netherlands
Yoshikatsu Okada Japan
Gabrielle Paulsson‐Berne Sweden
D P Via United States
Yoko Kojima Japan
Bart J.M. van Vlijmen Netherlands
Jenny Zhu United States
Su-Ning Zhu Canada
Richard Brandl Germany
Nezam Haider United States
Jonathan E. Feig relative to Judith C. Sluimer Netherlands Judith C. Sluimer's profile →
Citations per field
00.5×1.6×
Judith C. Sluimer · 1×
Citations per year

Countries citing papers authored by Jonathan E. Feig

Since Specialization
Citations

This map shows the geographic impact of Jonathan E. Feig'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 Jonathan E. Feig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Feig more than expected).

Fields of papers citing papers by Jonathan E. Feig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E. Feig. 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 Jonathan E. Feig. The network helps show where Jonathan E. Feig may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan E. Feig, 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 Jonathan E. Feig Line = papers co-authored together Jonathan E. Feig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007358
2 2012299
3 2006287
4 2011250
5 2011195
6 2008150
7 2010146
8 2014136
9 2011131
10 2011124
11 2013108
12 2015105
13 201291
14 200478
15 201176
16 200873
17 201366
18 200865
19 201554
20 201452

About Jonathan E. Feig

Jonathan E. Feig is a scholar working on Immunology, Immunology and Allergy, Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 35 papers that have together received 3.1k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (14 papers), Lipoproteins and Cardiovascular Health (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cancer, Lipids, and Metabolism (5 papers), Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Immunology (1.2k citations), Cancer Research (410 citations), Surgery (1.0k citations), Endocrinology, Diabetes and Metabolism (337 citations) and Immunology and Allergy (117 citations). Jonathan E. Feig has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Edward A. Fisher, Yuliya Vengrenyuk, Bernd Hewing, Jonathan D. Smith, Stanley L. Hazen, Michael J. Garabedian, Raanan Shamir, Kevin Jon Williams, James X. Rong and Zahi A. Fayad. Their work appears in journals such as Circulation Research, Arteriosclerosis Thrombosis and Vascular Biology, Proceedings of the National Academy of Sciences, PLoS ONE and Coronary Artery Disease.

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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