Jay S. Leb

37 papers receiving 431 citations

Peers

Jay S. Leb
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 145
  • Health Informatics 7
  • Pulmonary and Respiratory Medicine 120
  • Radiology, Nuclear Medicine and Imaging 78
  • Critical Care and Intensive Care Medicine 14
Replace Gary F. Headden with:
Gary F. Headden United States
Ferruccio Aquilini Italy
Refai Showkathali United Kingdom
Francesco Rametta Italy
Vishal Sharma United Kingdom
Justin E. Costello United States
Arka Chatterjee United States
Maximilian Spieker Germany
Luca Longobardo Italy
Jennifer Erley Germany
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Citations per year

Countries citing papers authored by Jay S. Leb

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Leb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 202046
3 202140
4 202033
5 202123
6 202323
7 200922
8 201121
9 201821
10 202420
11 202016
12 202214
13 202211
14 20229
15 20238
16 20227
17 20237
18 20257
19 20236
20 20236

About Jay S. Leb

Jay S. Leb is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 50 papers that have together received 443 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (7 papers), Mechanical Circulatory Support Devices (5 papers), Cardiac Imaging and Diagnostics (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Cardiomyopathy and Myosin Studies (3 papers), COVID-19 Clinical Research Studies (2 papers) and Biopolymer Synthesis and Applications (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (145 citations), Health Informatics (7 citations), Pulmonary and Respiratory Medicine (120 citations), Radiology, Nuclear Medicine and Imaging (78 citations) and Critical Care and Intensive Care Medicine (14 citations). Jay S. Leb has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Belinda M. D’Souza, Kathleen M. Capaccione, Mary M. Salvatore, Katherine A. Kaproth-Joslin, David A. Lynch, Stephen Hobbs, Jonathan Hero Chung, Todd Pulerwitz, Pallavi S. Utukuri and Omar K. Khalique. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Journal of Translational Medicine, Journal of the American College of Cardiology, Journal of Thoracic and Cardiovascular Surgery and JACC: Cardiovascular Interventions.

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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