G. Gon
Impact in
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
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- Neuropeptides and Animal Physiology
Papers in
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- Neuropeptides and Animal Physiology 4
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- Pituitary Gland Disorders and Treatments 3
- Growth Hormone and Insulin-like Growth Factors 2
- Co-authors
- Jennifer H. Steel (5 shared papers)Stephen Robert Bloom (5 shared papers)PHILIP M. JONES (4 shared papers)Domhnall O’Halloran (3 shared papers)Julia M. Polak (3 shared papers)Mohammad A. Ghatei (3 shared papers)Adel Giaid (4 shared papers)Julia Margaret Polak (2 shared papers)
- Journals
- Endocrinology (3 papers)Cell and Tissue Research (2 papers)The Anatomical Record (1 paper)Regulatory Peptides (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
G. Gon
11 papers receiving 413 citations
Peers
Comparison fields: 5 of 58
- Reproductive Medicine 117
- Cellular and Molecular Neuroscience 242
- Endocrinology, Diabetes and Metabolism 143
- Endocrine and Autonomic Systems 57
- Behavioral Neuroscience 30
Countries citing papers authored by G. Gon
This map shows the geographic impact of G. Gon'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. Gon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Gon more than expected).
Fields of papers citing papers by G. Gon
This network shows the impact of papers produced by G. Gon. 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. Gon. The network helps show where G. Gon may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Gon, 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 | 1989 | 92 | |
| 2 | 1989 | 81 | |
| 3 | 1990 | 78 | |
| 4 | 1996 | 55 | |
| 5 | 1990 | 49 | |
| 6 | 1987 | 26 | |
| 7 | 1992 | 14 | |
| 8 | 1987 | 13 | |
| 9 | 1987 | 13 | |
| 10 | 1988 | 5 | |
| 11 | 1991 | 1 |
About G. Gon
G. Gon is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Neurology and Behavioral Neuroscience, having authored 11 papers that have together received 427 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Hypothalamic control of reproductive hormones (2 papers), Barrier Structure and Function Studies (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper). The work is most often cited by research in Reproductive Medicine (117 citations), Cellular and Molecular Neuroscience (242 citations), Endocrinology, Diabetes and Metabolism (143 citations), Endocrine and Autonomic Systems (57 citations) and Behavioral Neuroscience (30 citations). G. Gon has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Jennifer H. Steel, Stephen Robert Bloom, PHILIP M. JONES, Domhnall O’Halloran, Julia M. Polak, Mohammad A. Ghatei, Adel Giaid, Julia Margaret Polak, Hiroshi Ishikawa and Hiroshi Ishikawa. Their work appears in journals such as Endocrinology, Cell and Tissue Research, The Anatomical Record, Regulatory Peptides and Annals of the New York 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.