Jay Shavadia

2.7k citations
46 papers · 513 · h-index 14

Impact in

Papers in

    • Acute Myocardial Infarction Research 18
    • Heart Failure Treatment and Management 5
    • Blood Pressure and Hypertension Studies 4
    • Cardiac Arrhythmias and Treatments 3
    • Antiplatelet Therapy and Cardiovascular Diseases 3
    • Cardiac Structural Anomalies and Repair 3

Jay Shavadia

40 papers receiving 498 citations

Peers

Jay Shavadia
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 331
  • Emergency Medicine 126
  • Internal Medicine 24
  • Radiology, Nuclear Medicine and Imaging 89
  • Surgery 167
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Citations per field
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Citations per year

Countries citing papers authored by Jay Shavadia

Since Specialization
Citations

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

Fields of papers citing papers by Jay Shavadia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201787
2 201839
3 201334
4 201932
5 201231
6 201529
7 201827
8 201822
9 201719
10 201918
11 201415
12 202014
13 201714
14 201313
15 201513
16 201912
17 20229
18 20198
19 20218
20 20168

About Jay Shavadia

Jay Shavadia is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Emergency Medicine, Biomedical Engineering and Infectious Diseases, having authored 46 papers that have together received 513 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (18 papers), Cardiac Arrest and Resuscitation (9 papers), Mechanical Circulatory Support Devices (6 papers), Heart Failure Treatment and Management (5 papers), Blood Pressure and Hypertension Studies (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Cardiac Structural Anomalies and Repair (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (331 citations), Emergency Medicine (126 citations), Internal Medicine (24 citations), Radiology, Nuclear Medicine and Imaging (89 citations) and Surgery (167 citations). Jay Shavadia has collaborated with scholars based in Canada, United States and Kenya. Frequent co-authors include Kevin R. Bainey, Christopher B. Granger, Harun Otieno, Gerald Yonga, Robert C. Welsh, Christopher B. Fordyce, Tracy Y. Wang, James G. Jollis, Ajar Kochar and Minh Vo. Their work appears in journals such as Canadian Journal of Cardiology, Journal of the American Heart Association, American Heart Journal, JACC: Cardiovascular Interventions and Transfusion.

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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