Jay M. Sullivan

3.8k citations
82 papers · 3.1k · h-index 25

Impact in

Papers in

Jay M. Sullivan

75 papers receiving 2.6k citations

Peers

Jay M. Sullivan
Comparison fields: 5 of 124
  • Cardiology and Cardiovascular Medicine 1.5k
  • Endocrinology, Diabetes and Metabolism 838
  • Internal Medicine 124
  • Genetics 455
  • Physiology 69
Replace Giovanni Tognoni with:
Giovanni Tognoni Italy
David E.L. Wilcken Australia
Dennis V. Cokkinos Greece
Ilkka M Kantola Finland
Christoph H. Saely Austria
Brendan F. McAdam Ireland
Anders Himmelmänn Sweden
Juana Sellés Argentina
Michelle J. Keyes United States
Danuta Czarnecka Poland
Jay M. Sullivan relative to Giovanni Tognoni Italy Giovanni Tognoni's profile →
Citations per field
00.5×2×4×6×8×9.9×
Giovanni Tognoni · 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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990305
2 1988295
3 1971292
4 1967257
5 1966157
6 1993147
7 1973135
8 1968112
9 1992102
10 1989102
11 199398
12 199796
13 197184
14 198577
15 198866
16 198255
17 196953
18 196753
19 198750
20 198739

About Jay M. Sullivan

Jay M. Sullivan is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Nutrition and Dietetics, having authored 82 papers that have together received 3.1k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (13 papers), Cardiac Imaging and Diagnostics (11 papers), Estrogen and related hormone effects (10 papers), Blood Pressure and Hypertension Studies (10 papers), Hormonal Regulation and Hypertension (9 papers), Atrial Fibrillation Management and Outcomes (7 papers), Cardiovascular Function and Risk Factors (6 papers) and Sodium Intake and Health (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Endocrinology, Diabetes and Metabolism (838 citations), Internal Medicine (124 citations), Genetics (455 citations) and Physiology (69 citations). Jay M. Sullivan has collaborated with scholars based in United States, Bangladesh and South Korea. 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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