Jay Tepperman
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Biochemistry top 1%
Papers in
- Physiology 37
- Diet and metabolism studies 23
- Adipose Tissue and Metabolism 19
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- Peroxisome Proliferator-Activated Receptors 7
- Co-authors
- Helen M. Tepperman (43 shared papers)H M Tepperman (7 shared papers)Najma Begum (11 shared papers)Fred T. Caldwell (1 shared paper)David S. Pearlman (1 shared paper)Robert R. Gorman (2 shared papers)C Ip (1 shared paper)P D Holohan (1 shared paper)
- Journals
- American Journal of Physiology-Legacy Content (15 papers)Endocrinology (10 papers)Journal of Nutrition (9 papers)Journal of Lipid Research (5 papers)Diabetes (5 papers)
- Partner nations
- United States
In The Last Decade
Jay Tepperman
80 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 120
- Clinical Biochemistry 294
- Biochemistry 321
- Physiology 1.0k
- Endocrinology, Diabetes and Metabolism 572
- Endocrine and Autonomic Systems 201
Countries citing papers authored by Jay Tepperman
This map shows the geographic impact of Jay Tepperman'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 Tepperman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Tepperman more than expected).
Fields of papers citing papers by Jay Tepperman
This network shows the impact of papers produced by Jay Tepperman. 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 Tepperman. The network helps show where Jay Tepperman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Tepperman, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1958 | 256 | |
| 2 | 1958 | 208 | |
| 3 | 1964 | 191 | |
| 4 | 1970 | 150 | |
| 5 | 1964 | 126 | |
| 6 | 1976 | 86 | |
| 7 | 1963 | 80 | |
| 8 | 1961 | 79 | |
| 9 | 1961 | 70 | |
| 10 | 1965 | 64 | |
| 11 | 1960 | 61 | |
| 12 | 1977 | 57 | |
| 13 | 1978 | 57 | |
| 14 | 1970 | 50 | |
| 15 | 1972 | 49 | |
| 16 | 1965 | 48 | |
| 17 | 1975 | 47 | |
| 18 | 1955 | 42 | |
| 19 | 1968 | 41 | |
| 20 | 1977 | 40 |
About Jay Tepperman
Jay Tepperman is a scholar working on Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Biochemistry and Surgery, having authored 87 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diet and metabolism studies (23 papers), Adipose Tissue and Metabolism (19 papers), Pancreatic function and diabetes (11 papers), Liver Disease Diagnosis and Treatment (10 papers), Biochemical Acid Research Studies (9 papers), Diet, Metabolism, and Disease (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Metabolism and Genetic Disorders (7 papers). The work is most often cited by research in Clinical Biochemistry (294 citations), Biochemistry (321 citations), Physiology (1.0k citations), Endocrinology, Diabetes and Metabolism (572 citations) and Endocrine and Autonomic Systems (201 citations). Jay Tepperman has collaborated with scholars based in United States. Frequent co-authors include Helen M. Tepperman, H M Tepperman, Najma Begum, Fred T. Caldwell, David S. Pearlman, Robert R. Gorman, C Ip, P D Holohan, Henry S. Di Stefano and S. S. Kalter. Their work appears in journals such as American Journal of Physiology-Legacy Content, Endocrinology, Journal of Nutrition, Journal of Lipid Research and Diabetes.
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.