Jay M. Sullivan

3.8k citations
76 papers · 2.8k · h-index 23

Impact in

Papers in

Jay M. Sullivan

72 papers receiving 2.5k citations

Peers

Jay M. Sullivan
Comparison fields: 5 of 118
  • Cardiology and Cardiovascular Medicine 1.4k
  • Endocrinology, Diabetes and Metabolism 768
  • Internal Medicine 118
  • Genetics 407
  • Physiology 63
Replace Bernhard R. Winkelmann with:
Bernhard R. Winkelmann Germany
David E.L. Wilcken Australia
Rita Mincemoyer United States
Andrea Biagini Italy
R O Cannon United States
Gian Gastone Neri Serneri Italy
Shin Takiuchi Japan
Alison Calver United Kingdom
F. H. M. Derkx Netherlands
Sunao Kojima Japan
Jay M. Sullivan relative to Bernhard R. Winkelmann Germany Bernhard R. Winkelmann's profile →
Citations per field
00.5×5.7×
Bernhard R. Winkelmann · 1×
Citations per year

Countries citing papers authored by Jay M. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Jay M. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988274
2 1990272
3 1971266
4 1967248
5 1966148
6 1993142
7 1973129
8 1968107
9 198995
10 199389
11 199784
12 197177
13 198565
14 198864
15 198253
16 196753
17 196949
18 198747
19 198738
20 200026

About Jay M. Sullivan

Jay M. Sullivan is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 76 papers that have together received 2.8k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (12 papers), Cardiac Imaging and Diagnostics (11 papers), Estrogen and related hormone effects (10 papers), Blood Pressure and Hypertension Studies (8 papers), Hormonal Regulation and Hypertension (8 papers), Atrial Fibrillation Management and Outcomes (7 papers), Acute Myocardial Infarction Research (6 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Endocrinology, Diabetes and Metabolism (768 citations), Internal Medicine (118 citations), Genetics (407 citations) and Physiology (63 citations). Jay M. Sullivan has collaborated with scholars based in United States, Bangladesh and Germany. Frequent co-authors include Richard Gorlin, Dwight E. Harken, Kodangudi B. Ramanathan, Michael D. Klein, Roger Vander Zwaag, Faten El-Zeky, David M. Mirvis, Robert G. Dluhy, Joseph B. Alpers and Michael L. Tuck. Their work appears in journals such as The American Journal of Cardiology, The American Journal of the Medical Sciences, Journal of the American College of Cardiology, The Journal of Clinical Pharmacology and New England Journal of Medicine.

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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