Jay Leb

26 papers receiving 275 citations

Peers

Jay Leb
Comparison fields: 5 of 49
  • Cardiology and Cardiovascular Medicine 117
  • Radiology, Nuclear Medicine and Imaging 77
  • Critical Care and Intensive Care Medicine 16
  • Health Informatics 4
  • Pulmonary and Respiratory Medicine 94
Replace Domenico Tuttolomondo with:
Domenico Tuttolomondo Italy
Enrico Poletti Italy
António Tralhão Portugal
Samuel Bernard United States
Dongngan T. Truong United States
Mirae Lee South Korea
Chikezie Alvarez United States
Roman Korenfeld Israel
Marion Kibler France
Fernando Chernomordik Israel
Jay Leb relative to Domenico Tuttolomondo Italy Domenico Tuttolomondo's profile →
Citations per field
00.5×2.6×
Domenico Tuttolomondo · 1×
Citations per year

Countries citing papers authored by Jay Leb

Since Specialization
Citations

This map shows the geographic impact of Jay 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 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 Leb more than expected).

Fields of papers citing papers by Jay Leb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201950
2 202041
3 202138
4 202033
5 202119
6 201816
7 202015
8 202211
9 20229
10 20237
11 20226
12 20225
13 20234
14 20204
15 20234
16
Necrotizing enterocolitis in premature infants.
19683
17 20242
18 20242
19 20182
20 20212

About Jay Leb

Jay Leb is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Biomedical Engineering, having authored 34 papers that have together received 280 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (6 papers), Cardiac Structural Anomalies and Repair (5 papers), Mechanical Circulatory Support Devices (5 papers), Aortic Disease and Treatment Approaches (4 papers), Respiratory Support and Mechanisms (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (117 citations), Radiology, Nuclear Medicine and Imaging (77 citations), Critical Care and Intensive Care Medicine (16 citations), Health Informatics (4 citations) and Pulmonary and Respiratory Medicine (94 citations). Jay Leb has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Belinda D’Souza, Mary Salvatore, Kathleen M. Capaccione, Stephen Hobbs, Jonathan H. Chung, Katherine Kaproth-Joslin, David A. Lynch, Isaac George, Rebecca T. Hahn and Todd Pulerwitz. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Journal of Thoracic and Cardiovascular Surgery, Journal of the American College of Cardiology, Circulation Cardiovascular Imaging and Disease Models & Mechanisms.

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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