Stephen M. Modell

640 citations
31 papers · 426 · h-index 10

Impact in

    • Cardiac electrophysiology and arrhythmias
    • Cardiac pacing and defibrillation studies
    • Cardiovascular Effects of Exercise
    • Cardiomyopathy and Myosin Studies
  • Health top 10%
    • Religion, Spirituality, and Psychology

Papers in

Stephen M. Modell

25 papers receiving 403 citations

Peers

Stephen M. Modell
Comparison fields: 5 of 89
  • Cardiology and Cardiovascular Medicine 134
  • Health 39
  • Genetics 86
  • Organizational Behavior and Human Resource Management 20
  • General Health Professions 40
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Countries citing papers authored by Stephen M. Modell

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Modell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Stephen M. Modell, 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 Stephen M. Modell Line = papers co-authored together Stephen M. Modell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006128
2 200363
3 202045
4 200936
5 201830
6 201617
7 202115
8 201215
9 201412
10 20029
11
The Two Arrows of Efficiency: A Commentary on Konstantin S. Khroutski's BioCosmology - Science of the Universal Future
20066
12 20076
13 20226
14 20196
15 20135
16 20115
17 20204
18 20144
19 20233
20 20103

About Stephen M. Modell

Stephen M. Modell is a scholar working on Genetics, Molecular Biology, General Health Professions, Public Health, Environmental and Occupational Health and Health, having authored 31 papers that have together received 426 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (10 papers), Ethics in Clinical Research (4 papers), Public Health Policies and Education (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiac pacing and defibrillation studies (2 papers), Neuroethics, Human Enhancement, Biomedical Innovations (2 papers), Religion, Spirituality, and Psychology (2 papers) and Nutrition, Genetics, and Disease (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (134 citations), Health (39 citations), Genetics (86 citations), Organizational Behavior and Human Resource Management (20 citations) and General Health Professions (40 citations). Stephen M. Modell has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Michael H. Lehmann, Sharon L. R. Kardia, Toby Citrin, Patricia A. Peyser, Sharon L. R. Kardia, Leonard M. Fleck, Vence L. Bonham, David J. Bradley, Caitlin G. Allen and Margit Burmeister. Their work appears in journals such as Journal of Religion and Health, Zygon®, Public Health Genomics, Journal of Immigrant and Minority Health and Health Education & Behavior.

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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