G I Bell
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Molecular Biology top 1%
- Metabolism, Diabetes, and Cancer
- Receptor Mechanisms and Signaling
Papers in
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- Growth Hormone and Insulin-like Growth Factors 5
-
- Metabolism, Diabetes, and Cancer 17
- Receptor Mechanisms and Signaling 7
- Glycosylation and Glycoproteins Research 4
- Co-authors
- J H KaramW J RutterSusumu SeinoTerry ReisineHirofumi FukumotoCharles BurantGwyn W. GouldKei Yasuda
- Journals
- Proceedings of the National Academy of Sciences (10 papers)Journal of Biological Chemistry (8 papers)Molecular Pharmacology (5 papers)Diabetologia (4 papers)Nucleic Acids Research (4 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
G I Bell
53 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Endocrinology, Diabetes and Metabolism 1.4k
- Molecular Biology 4.0k
- Cellular and Molecular Neuroscience 797
- Genetics 1.1k
- Physiology 174
Countries citing papers authored by G I Bell
This map shows the geographic impact of G I Bell'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 I Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G I Bell more than expected).
Fields of papers citing papers by G I Bell
This network shows the impact of papers produced by G I Bell. 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 I Bell. The network helps show where G I Bell may publish in the future.
Co-authors
The 25 scholars most cited alongside G I Bell, 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 | 2007 | 3 | |
| 2 | 1996 | 2 | |
| 3 | 1996 | 25 | |
| 4 | 1995 | 1 | |
| 5 | 1995 | 144 | |
| 6 | 1995 | 497 | |
| 7 | 1993 | 244 | |
| 8 | 1993 | 144 | |
| 9 | 1993 | 56 | |
| 10 | 1993 | 26 | |
| 11 | 1993 | 63 | |
| 12 | Human collagen, type II, alpha 1, (COL2A1) gene: VNTR polymorphism detected by gene amplification. | Article Information | J-GLOBAL | 1990 | 2 |
| 13 | 1990 | 99 | |
| 14 | 1989 | 43 | |
| 15 | 1989 | 401 | |
| 16 | 1988 | 377 | |
| 17 | 1988 | 17 | |
| 18 | 1988 | 117 | |
| 19 | 1987 | 145 | |
| 20 | 1985 | 67 |
About G I Bell
G I Bell is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Genetics and Immunology and Allergy, having authored 55 papers that have together received 6.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Metabolism, Diabetes, and Cancer (17 papers), Neuroendocrine Tumor Research Advances (10 papers), Diabetes and associated disorders (7 papers), Receptor Mechanisms and Signaling (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Molecular Biology (4.0k citations), Cellular and Molecular Neuroscience (797 citations), Genetics (1.1k citations) and Physiology (174 citations). G I Bell has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include J H Karam, W J Rutter, Susumu Seino, Terry Reisine, Hirofumi Fukumoto, Charles Burant, Gwyn W. Gould, Kei Yasuda, Jun Takeda and T.B. Shows. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular Pharmacology, Diabetologia and Nucleic Acids Research.
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.