Fred Levine
Impact in
Papers in
- Surgery 58
- Pancreatic function and diabetes 53
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- Metabolism, Diabetes, and Cancer 10
- Pluripotent Stem Cells Research 6
- Co-authors
- Ergeng Hao (14 shared papers)Pamela Itkin‐Ansari (15 shared papers)David R. Brown (2 shared papers)Alberto Hayek (13 shared papers)Tanya Halvorsen (4 shared papers)Gil Leibowitz (3 shared papers)Gil Leibowitz (4 shared papers)Theodore Friedmann (4 shared papers)
- Journals
- The Journal of Immunology (4 papers)Cell Death and Disease (4 papers)Cryobiology (4 papers)Cell Transplantation (3 papers)Stem Cells (3 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Fred Levine
95 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 136
- Aging 93
- Genetics 1.3k
- Endocrinology, Diabetes and Metabolism 635
- Surgery 1.5k
- Molecular Biology 1.6k
Countries citing papers authored by Fred Levine
This map shows the geographic impact of Fred Levine'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 Fred Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Levine more than expected).
Fields of papers citing papers by Fred Levine
This network shows the impact of papers produced by Fred Levine. 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 Fred Levine. The network helps show where Fred Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Levine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 341 | |
| 2 | 1992 | 246 | |
| 3 | 2006 | 183 | |
| 4 | 1999 | 171 | |
| 5 | 2010 | 158 | |
| 6 | 1999 | 153 | |
| 7 | 1999 | 151 | |
| 8 | 1999 | 126 | |
| 9 | 2001 | 111 | |
| 10 | 2000 | 103 | |
| 11 | 2006 | 103 | |
| 12 | 2001 | 100 | |
| 13 | 1999 | 91 | |
| 14 | 2001 | 78 | |
| 15 | 2004 | 77 | |
| 16 | 2005 | 58 | |
| 17 | 2001 | 57 | |
| 18 | 1985 | 56 | |
| 19 | 2004 | 56 | |
| 20 | 2004 | 51 |
About Fred Levine
Fred Levine is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 97 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (53 papers), Diabetes and associated disorders (21 papers), Diabetes Management and Research (14 papers), Metabolism, Diabetes, and Cancer (10 papers), Virus-based gene therapy research (10 papers), Genetics and Neurodevelopmental Disorders (6 papers), Pluripotent Stem Cells Research (6 papers) and Cannabis and Cannabinoid Research (5 papers). The work is most often cited by research in Aging (93 citations), Genetics (1.3k citations), Endocrinology, Diabetes and Metabolism (635 citations), Surgery (1.5k citations) and Molecular Biology (1.6k citations). Fred Levine has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Ergeng Hao, Pamela Itkin‐Ansari, David R. Brown, Alberto Hayek, Tanya Halvorsen, Gil Leibowitz, Gil Leibowitz, Theodore Friedmann, Jonathan Mansbridge and Björn Tyrberg. Their work appears in journals such as The Journal of Immunology, Cell Death and Disease, Cryobiology, Cell Transplantation and Stem Cells.
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.