Steven E. Nunn
Impact in
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- Growth Hormone and Insulin-like Growth Factors
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- Cancer, Hypoxia, and Metabolism
- Protease and Inhibitor Mechanisms
Papers in
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- Growth Hormone and Insulin-like Growth Factors 9
- Hormonal and reproductive studies 1
- Oncology 4
- Bone health and treatments 3
- Co-authors
- Pinchas Cohen (10 shared papers)D Herrick (2 shared papers)A. Bhala (3 shared papers)Lorraine E. Levitt Katz (2 shared papers)M. M. Grunstein (1 shared paper)James P. Noveral (1 shared paper)Michael Grunstein (1 shared paper)D M Peehl (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Journal of Cellular Physiology (2 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)Journal of Endocrinology (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Steven E. Nunn
11 papers receiving 428 citations
Peers
Comparison fields: 5 of 66
- Endocrinology, Diabetes and Metabolism 225
- Cancer Research 115
- Immunology and Allergy 33
- Physiology 111
- Molecular Biology 177
Countries citing papers authored by Steven E. Nunn
This map shows the geographic impact of Steven E. Nunn'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 Steven E. Nunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven E. Nunn more than expected).
Fields of papers citing papers by Steven E. Nunn
This network shows the impact of papers produced by Steven E. Nunn. 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 Steven E. Nunn. The network helps show where Steven E. Nunn may publish in the future.
Co-authors
The 19 scholars most cited alongside Steven E. Nunn, 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 | 1995 | 103 | |
| 2 | 1996 | 94 | |
| 3 | 1995 | 93 | |
| 4 | 1996 | 54 | |
| 5 | 1997 | 26 | |
| 6 | 1997 | 24 | |
| 7 | 1997 | 17 | |
| 8 | 1996 | 17 | |
| 9 | 1998 | 12 | |
| 10 | 1992 | 11 | |
| 11 | 1997 | 2 |
About Steven E. Nunn
Steven E. Nunn is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 11 papers that have together received 453 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Bone health and treatments (3 papers), Prostate Cancer Treatment and Research (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Diabetes and associated disorders (1 paper), Genetic Syndromes and Imprinting (1 paper), Hormonal and reproductive studies (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (225 citations), Cancer Research (115 citations), Immunology and Allergy (33 citations), Physiology (111 citations) and Molecular Biology (177 citations). Steven E. Nunn has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Pinchas Cohen, D Herrick, A. Bhala, Lorraine E. Levitt Katz, M. M. Grunstein, James P. Noveral, Michael Grunstein, D M Peehl, Donna M. Peehl and Tara Beers Gibson. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Cellular Physiology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Endocrinology and Endocrinology.
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.