Jonathan Sen

795 citations
24 papers · 571 · h-index 11

Impact in

Papers in

Jonathan Sen

23 papers receiving 553 citations

Peers

Jonathan Sen
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 173
  • Cardiology and Cardiovascular Medicine 155
  • Psychiatry and Mental health 78
  • Biological Psychiatry 12
  • Surgery 104
Replace Makoto Yono with:
Makoto Yono Japan
M. Kollind Sweden
Péter Szakály Hungary
Dawn Adamson United Kingdom
Simon S. Evers United States
Masayo Ogawa Japan
Christopher A. Muir Australia
Ken Terui Japan
Gillian Burrows United Kingdom
Minh Tuan Nguyen France
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Sen

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012133
2 1997124
3 202070
4 201853
5 201849
6 201525
7 202121
8 201820
9 202116
10 200115
11 201210
12 20188
13 20235
14 20204
15 20204
16 20213
17 20242
18 20202
19 20242
20 20192

About Jonathan Sen

Jonathan Sen is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Experimental and Cognitive Psychology, Surgery and Molecular Biology, having authored 24 papers that have together received 571 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Mental Health Research Topics (2 papers), Cardiac pacing and defibrillation studies (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Cardiology and Cardiovascular Medicine (155 citations), Psychiatry and Mental health (78 citations), Biological Psychiatry (12 citations) and Surgery (104 citations). Jonathan Sen has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Thomas H. Marwick, Ashley Grossman, Darryl McGill, Niki Karavitaki, Veronica Preda, Quan Huynh, A. Kamble, L.C. Schlichter, Jerry J. Warsh and Sagar V. Parikh. Their work appears in journals such as JACC. Cardiovascular imaging, Journal of the American Society of Echocardiography, European Journal of Endocrinology, Clinical Endocrinology and Journal of the American College of Cardiology.

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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