G. M. Besser
- Endocrinology, Diabetes and Metabolism top 0.1%
- Molecular Biology top 5%
- Epidemiology top 1%
- Surgery top 1%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Lesley ReesAshley GrossmanJohn WassR. HallVicky Clement‐JonesD.H. CoyAndrew V. SchallyPhilip J. Lowry
- Topics
- Pituitary Gland Disorders and Treatments (75 papers)Growth Hormone and Insulin-like Growth Factors (64 papers)Neuropeptides and Animal Physiology (33 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
G. M. Besser
226 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Endocrinology, Diabetes and Metabolism 5.6k
- Molecular Biology 2.4k
- Epidemiology 2.2k
- Surgery 2.1k
- Cellular and Molecular Neuroscience 1.7k
Countries citing papers authored by G. M. Besser
This map shows the geographic impact of G. M. Besser'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. M. Besser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. M. Besser more than expected).
Fields of papers citing papers by G. M. Besser
This network shows the impact of papers produced by G. M. Besser. 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. M. Besser. The network helps show where G. M. Besser may publish in the future.
Co-authorship network of co-authors of G. M. Besser
This figure shows the co-authorship network connecting the top 25 collaborators of G. M. Besser. A scholar is included among the top collaborators of G. M. Besser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. M. Besser. G. M. Besser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 24 | |
| 3 | 19 | |
| 4 | 38 | |
| 5 | 16 | |
| 6 | 15 | |
| 7 | 37 | |
| 8 | 100 | |
| 9 | 12 | |
| 10 | 88 | |
| 11 | 64 | |
| 12 | 70 | |
| 13 | 26 | |
| 14 | 87 | |
| 15 | 105 | |
| 16 | 31 | |
| 17 | 45 | |
| 18 | EFFECTS OF GROWTH-HORMONE RELEASE-INHIBITING HORMONE ON CIRCULATING GLUCAGON, INSULIN, AND GROWTH HORMONE IN NORMAL, DIABETIC, ACROMEGALIC, AND HYPOPITUITARY PATIENTSbreakdown → | 217 |
| 19 | 3 | |
| 20 | 80 |
About G. M. Besser
G. M. Besser is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Reproductive Medicine, having authored 226 papers that have together received 11.9k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (75 papers), Growth Hormone and Insulin-like Growth Factors (64 papers) and Neuropeptides and Animal Physiology (33 papers). The work is most often cited by research in Behavioral Neuroscience (1.3k citations), Endocrinology, Diabetes and Metabolism (5.6k citations) and Reproductive Medicine (1.2k citations). G. M. Besser has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Lesley Rees, Ashley Grossman, John Wass, R. Hall, Vicky Clement‐Jones, D.H. Coy, Andrew V. Schally, Philip J. Lowry, William Jeffcoate and Michael O. Thorner. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.