Eric Shulman

1.2k citations
27 papers · 678 indexed · h-index 11

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Cardiac electrophysiology and arrhythmias
    • Atrial Fibrillation Management and Outcomes
    • Cardiac Arrhythmias and Treatments
    • ECG Monitoring and Analysis

Papers in

Eric Shulman

25 papers receiving 662 citations

Peers

Eric Shulman
Comparison fields: 5 of 84
  • Infectious Diseases 351
  • Cardiology and Cardiovascular Medicine 298
  • Neurology 136
  • Ophthalmology 53
  • Applied Microbiology and Biotechnology 9
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Citations per field
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Citations per year

Countries citing papers authored by Eric Shulman

Since Specialization
Citations

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

Fields of papers citing papers by Eric Shulman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020250
2 2020192
3 201535
4 201035
5 201728
6 201417
7 201715
8 201414
9 201812
10 201510
11 202010
12 202110
13 20209
14 20217
15 20186
16 20216
17 20185
18 20155
19 20193
20 20182

About Eric Shulman

Eric Shulman is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Molecular Biology and Ophthalmology, having authored 27 papers that have together received 678 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Cardiac Arrhythmias and Treatments (11 papers), Atrial Fibrillation Management and Outcomes (8 papers), ECG Monitoring and Analysis (5 papers), Cardiac Imaging and Diagnostics (3 papers), Blood Pressure and Hypertension Studies (3 papers), Cardiac pacing and defibrillation studies (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (351 citations), Cardiology and Cardiovascular Medicine (298 citations), Neurology (136 citations), Ophthalmology (53 citations) and Applied Microbiology and Biotechnology (9 citations). Eric Shulman has collaborated with scholars based in United States and Italy. Frequent co-authors include Michael Spinelli, Chirag R. Barbhaiya, David Park, Larry A. Chinitz, Ehud Chorin, Matthew Dai, Lalit Wadhwani, Anthony Aizer, Scott Bernstein and Lior Jankelson. Their work appears in journals such as The American Journal of Cardiology, International Journal of Cardiology, Pacing and Clinical Electrophysiology, Journal of the American College of Cardiology and Nature 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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