Jay D. Coffman

3.0k citations
59 papers · 2.1k indexed · h-index 22

Impact in

Papers in

Jay D. Coffman

57 papers receiving 1.8k citations

Peers

Jay D. Coffman
Comparison fields: 5 of 113
  • Rehabilitation 181
  • Pathology and Forensic Medicine 418
  • Endocrinology, Diabetes and Metabolism 382
  • Dermatology 195
  • Internal Medicine 82
Replace J. E. Tooke with:
J. E. Tooke United Kingdom
A. Gordon Smith United States
J. E. Tooke United Kingdom
J. D. Ward United Kingdom
Subodh Arora United States
Gary L. Pittenger United States
Sadatoshi Biro Japan
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Citations per field
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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-authorship network

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
#Work
1 200422
2 20034
3 200384
4 20026
5 200127
6 2000132
7 19949
8 199317
9 19926
10 199012
11 198932
12 19892
13 19881
14 198513
15 197573
16 19742
17
Ischemic limbs : surgical approach and physiological principles
19732
18 196322
19 1960175
20 195813

About Jay D. Coffman

Jay D. Coffman is a scholar working on Internal Medicine, Complementary and alternative medicine, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Physiology, 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), Venous Thromboembolism Diagnosis and Management (4 papers), Migraine and Headache Studies (4 papers) and Dermatologic Treatments and Research (4 papers). The work is most often cited by research in Rehabilitation (181 citations), Pathology and Forensic Medicine (418 citations), Endocrinology, Diabetes and Metabolism (382 citations), Dermatology (195 citations) and Internal Medicine (82 citations). Jay D. Coffman has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Frank W. LoGerfo, Donald E. Gregg, Alan S. Cohen, Jan Koch‐Weser, W.T. Davies, Richard A. Cohen, Joseph A. Vita, Stephen J. Duffy, Robert T. Eberhardt and John A. Mannick. Their work appears in journals such as Circulation, New England Journal of Medicine, 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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