G E Tennyson
Impact in
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- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Hormonal Regulation and Hypertension
- Genetics top 10%
- Estrogen and related hormone effects
Papers in
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- RNA and protein synthesis mechanisms 2
- Peroxisome Proliferator-Activated Receptors 2
- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
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- Growth Hormone and Insulin-like Growth Factors 4
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Thyroid Disorders and Treatments 3
- Co-authors
- Vera M. Nikodem (4 shared papers)Takaaki Mitsuhashi (2 shared papers)Péter Hauser (2 shared papers)B D Weintraub (2 shared papers)H. Bryan Brewer (3 shared papers)Neil Gesundheit (1 shared paper)A. Bale (1 shared paper)Domenico Accili (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)Nucleic Acids Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular and Cellular Biology (2 papers)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
G E Tennyson
12 papers receiving 643 citations
Peers
Comparison fields: 5 of 57
- Endocrinology, Diabetes and Metabolism 430
- Genetics 284
- Reproductive Medicine 48
- Molecular Biology 291
- Cancer Research 28
Countries citing papers authored by G E Tennyson
This map shows the geographic impact of G E Tennyson'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 G E Tennyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G E Tennyson more than expected).
Fields of papers citing papers by G E Tennyson
This network shows the impact of papers produced by G E Tennyson. 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 G E Tennyson. The network helps show where G E Tennyson may publish in the future.
Co-authors
The 25 scholars most cited alongside G E Tennyson, 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 | 1988 | 263 | |
| 2 | 1990 | 156 | |
| 3 | 1989 | 55 | |
| 4 | 1993 | 51 | |
| 5 | 1988 | 37 | |
| 6 | 1992 | 24 | |
| 7 | 1996 | 21 | |
| 8 | 1988 | 18 | |
| 9 | 1989 | 16 | |
| 10 | 1988 | 9 | |
| 11 | 1990 | 2 | |
| 12 | Understanding type 2 diabetes mellitus and associated cardiovascular disease: linked by insulin resistance. | 2002 | 2 |
About G E Tennyson
G E Tennyson is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Oncology, having authored 12 papers that have together received 654 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Thyroid Disorders and Treatments (3 papers), RNA and protein synthesis mechanisms (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), RNA Research and Splicing (2 papers), Estrogen and related hormone effects (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (430 citations), Genetics (284 citations), Reproductive Medicine (48 citations), Molecular Biology (291 citations) and Cancer Research (28 citations). G E Tennyson has collaborated with scholars based in United States and Australia. Frequent co-authors include Vera M. Nikodem, Takaaki Mitsuhashi, Péter Hauser, B D Weintraub, H. Bryan Brewer, Neil Gesundheit, A. Bale, Domenico Accili, Robert W. Lash and Fredric E. Wondisford. Their work appears in journals such as Journal of Clinical Investigation, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Advances in experimental medicine and biology.
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.