Jay D. Coffman

57 papers receiving 1.8k citations

Peers

Jay D. Coffman
Comparison fields: 5 of 111
  • Rehabilitation 163
  • Pathology and Forensic Medicine 403
  • Endocrinology, Diabetes and Metabolism 345
  • Internal Medicine 69
  • Cardiology and Cardiovascular Medicine 438
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J. E. Tooke United Kingdom
A. Gordon Smith United States
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J. E. Tooke United Kingdom
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Citations per year

Countries citing papers authored by Jay D. Coffman

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. Coffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay D. Coffman. 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 Jay D. Coffman. The network helps show where Jay D. Coffman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984355
2 1960175
3 1971151
4 1979138
5 1989135
6 2000132
7 200385
8 196181
9
Success of bypass vein grafts in patients with isolated popliteal artery segments.
196774
10 197573
11 197268
12 196643
13 196142
14 198932
15 200128
16 197228
17 198627
18 197926
19 198424
20 200422

About Jay D. Coffman

Jay D. Coffman is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Physiology and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (13 papers), Systemic Sclerosis and Related Diseases (13 papers), Sympathectomy and Hyperhidrosis Treatments (8 papers), Cardiovascular and exercise physiology (7 papers), Heart Rate Variability and Autonomic Control (5 papers), Migraine and Headache Studies (4 papers), Diagnosis and Treatment of Venous Diseases (4 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). The work is most often cited by research in Rehabilitation (163 citations), Pathology and Forensic Medicine (403 citations), Endocrinology, Diabetes and Metabolism (345 citations), Internal Medicine (69 citations) and Cardiology and Cardiovascular Medicine (438 citations). Jay D. Coffman has collaborated with scholars based in United States, Denmark and Belgium. Frequent co-authors include Frank W. LoGerfo, Donald E. Gregg, Alan S. Cohen, Jan Koch‐Weser, W.T. Davies, Richard A. Cohen, Stephen J. Duffy, Joseph A. Vita, John A. Mannick and Robert T. Eberhardt. Their work appears in journals such as New England Journal of Medicine, Circulation, American Journal of Physiology-Legacy Content, Clinical Pharmacology & Therapeutics and Journal of Cardiovascular Pharmacology.

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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