Jay S. Leb

41 papers receiving 444 citations

Peers

Jay S. Leb
Comparison fields: 5 of 50
  • Health Informatics 22
  • Cardiology and Cardiovascular Medicine 136
  • Pulmonary and Respiratory Medicine 107
  • Radiology, Nuclear Medicine and Imaging 63
  • Infectious Diseases 46
Replace Joseph R. Connors with:
Joseph R. Connors United States
Mauro Giuliani Switzerland
Ahmad Kh. Alhaj Syria
Mostafa A Soliman United States
Ivan Bačić Croatia
Sounok Sen United States
Cristina Nevado García Spain
Plamen Petkov Bulgaria
Khalid Atallah Egypt
Elisa Ponte Italy
Jay S. Leb relative to Joseph R. Connors United States Joseph R. Connors's profile →
Citations per field
00.5×2×3×4×4.5×
Joseph R. Connors · 1×
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 201963
2 202045
3 202141
4 202033
5 202124
6 202324
7 202423
8 200922
9 201121
10 201821
11 202017
12 202215
13 202212
14 202210
15 20238
16 20238
17 20227
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, Radiology, Nuclear Medicine and Imaging, Health Informatics and Health Information Management, having authored 50 papers that have together received 458 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Artificial Intelligence in Healthcare (4 papers), COVID-19 Clinical Research Studies (4 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Health Informatics (22 citations), Cardiology and Cardiovascular Medicine (136 citations), Pulmonary and Respiratory Medicine (107 citations), Radiology, Nuclear Medicine and Imaging (63 citations) and Infectious Diseases (46 citations). Jay S. Leb has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Belinda M. D’Souza, Mary M. Salvatore, Kathleen M. Capaccione, David A. Lynch, Jonathan Hero Chung, Stephen Hobbs, Katherine A. Kaproth-Joslin, Rebecca Tung Hahn, Todd Pulerwitz and Pallavi S. Utukuri. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Journal of Translational Medicine, Journal of Thoracic and Cardiovascular Surgery, Journal of the American College of Cardiology 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.

Explore authors with similar magnitude of impact