Gary Feigenbaum
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Co-authors
- Joshua M. Hare (4 shared papers)Ian McNiece (3 shared papers)Konstantinos E. Hatzistergos (3 shared papers)Qinghua Hu (2 shared papers)José E. Rodríguez (2 shared papers)Behzad N. Oskouei (2 shared papers)Pradip M. Pattany (2 shared papers)Juan P. Zambrano (2 shared papers)
- Journals
- European Heart Journal (1 paper)The American Journal of Cardiology (1 paper)Circulation Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Transfusion and Apheresis Science (1 paper)
- Partner nations
- United StatesPanamaSpain
In The Last Decade
Gary Feigenbaum
5 papers receiving 1.2k citations
Gary Feigenbaum's Hit Papers
Peers
Comparison fields: 5 of 53
- Genetics 714
- Biomaterials 378
- Surgery 736
- Molecular Biology 474
- Cardiology and Cardiovascular Medicine 116
Countries citing papers authored by Gary Feigenbaum
This map shows the geographic impact of Gary Feigenbaum'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 Gary Feigenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Feigenbaum more than expected).
Fields of papers citing papers by Gary Feigenbaum
This network shows the impact of papers produced by Gary Feigenbaum. 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 Gary Feigenbaum. The network helps show where Gary Feigenbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Feigenbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Bone Marrow Mesenchymal Stem Cells Stimulate Cardiac Stem Cell Proliferation and Differentiation Hit paper breakdown → | 2010 | 562 |
| 2 | 2009 | 470 | |
| 3 | 2009 | 198 | |
| 4 | 2008 | 7 | |
| 5 | 2015 | 1 | |
| 6 | 2024 | 0 |
About Gary Feigenbaum
Gary Feigenbaum is a scholar working on Genetics, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Hospital Admissions and Outcomes (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Lung Cancer Research Studies (1 paper), Lung Cancer Treatments and Mutations (1 paper), Clinical practice guidelines implementation (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Genetics (714 citations), Biomaterials (378 citations), Surgery (736 citations), Molecular Biology (474 citations) and Cardiology and Cardiovascular Medicine (116 citations). Gary Feigenbaum has collaborated with scholars based in United States, Panama and Spain. Frequent co-authors include Joshua M. Hare, Ian McNiece, Konstantinos E. Hatzistergos, Qinghua Hu, José E. Rodríguez, Behzad N. Oskouei, Pradip M. Pattany, Juan P. Zambrano, David Valdes and Henry C. Quevedo. Their work appears in journals such as European Heart Journal, The American Journal of Cardiology, Circulation Research, Proceedings of the National Academy of Sciences and Transfusion and Apheresis Science.
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.