Robert S. Bar
-
- Growth Hormone and Insulin-like Growth Factors 28
- Physiology top 2%
- Adipose Tissue and Metabolism 10
- Reproductive Medicine top 2%
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 15
- Genetics top 2%
- Diabetes and associated disorders 7
-
- Cardiovascular Function and Risk Factors 11
- Lipid metabolism and disorders 9
-
- Cancer, Hypoxia, and Metabolism 11
-
- Pancreatic function and diabetes 10
- Co-authors
- Jesse RothPhillip GördenC. Ronald KahnJeffrey S. FlierBrian L. DakeMary BoesBarbara A. BoothJuanita A. Archer
- Journals
- Endocrinology (16 papers)The Journal of Clinical Endocrinology & Metabolism (11 papers)American Journal of Physiology-Endocrinology and Metabolism (10 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Robert S. Bar
94 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Endocrinology, Diabetes and Metabolism 2.0k
- Physiology 954
- Reproductive Medicine 272
- Molecular Biology 2.2k
- Genetics 793
Countries citing papers authored by Robert S. Bar
This map shows the geographic impact of Robert S. Bar'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 Robert S. Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert S. Bar more than expected).
Fields of papers citing papers by Robert S. Bar
This network shows the impact of papers produced by Robert S. Bar. 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 Robert S. Bar. The network helps show where Robert S. Bar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert S. Bar, 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 | 2004 | 60 | |
| 2 | 2002 | 10 | |
| 3 | 2000 | 3 | |
| 4 | 1998 | 8 | |
| 5 | 1996 | 15 | |
| 6 | 1992 | 58 | |
| 7 | 1991 | 30 | |
| 8 | 1990 | 151 | |
| 9 | 1990 | 42 | |
| 10 | 1990 | 32 | |
| 11 | 1989 | 100 | |
| 12 | 1989 | 52 | |
| 13 | 1988 | 34 | |
| 14 | 1988 | 41 | |
| 15 | 1987 | 48 | |
| 16 | 1985 | 66 | |
| 17 | 1984 | 45 | |
| 18 | 1982 | 26 | |
| 19 | 1978 | 135 | |
| 20 | 1975 | 7 |
About Robert S. Bar
Robert S. Bar is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research, Physiology and Molecular Biology, having authored 94 papers that have together received 5.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (28 papers), Metabolism, Diabetes, and Cancer (15 papers), Cardiovascular Function and Risk Factors (11 papers), Cancer, Hypoxia, and Metabolism (11 papers), Adipose Tissue and Metabolism (10 papers), Pancreatic function and diabetes (10 papers), Lipid metabolism and disorders (9 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Physiology (954 citations), Reproductive Medicine (272 citations), Molecular Biology (2.2k citations) and Genetics (793 citations). Robert S. Bar has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Jesse Roth, Phillip Görden, C. Ronald Kahn, Jeffrey S. Flier, Brian L. Dake, Mary Boes, Barbara A. Booth, Juanita A. Archer, Malcolm M. Martin and C. Ronald Kahn. Their work appears in journals such as Endocrinology, The Journal of Clinical Endocrinology & Metabolism, American Journal of Physiology-Endocrinology and Metabolism, Metabolism and The American Journal of Medicine.
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.