D. R. Gamble
Impact in
-
- Diabetes Management and Research
- Genetics top 0.5%
- Diabetes and associated disorders
Papers in
- Co-authors
- K. W. Taylor (11 shared papers)Gian Franco Bottazzo (1 shared paper)Peter G.F. Swift (1 shared paper)B.M. Dean (1 shared paper)E. Mackay (1 shared paper)R Lendrum (4 shared papers)G. Walker (3 shared papers)Ronald W. Bolton (1 shared paper)
- Journals
- The Lancet (6 papers)Journal of Clinical Pathology (3 papers)Diabetologia (3 papers)Epidemiologic Reviews (1 paper)Cell Biochemistry and Function (1 paper)
- Partner nations
- United KingdomSouth AfricaCanada
In The Last Decade
D. R. Gamble
39 papers receiving 2.3k citations
D. R. Gamble's Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 1.1k
- Genetics 1.9k
- Immunology 622
- Surgery 1.2k
- Gastroenterology 84
Countries citing papers authored by D. R. Gamble
This map shows the geographic impact of D. R. Gamble'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 D. R. Gamble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. R. Gamble more than expected).
Fields of papers citing papers by D. R. Gamble
This network shows the impact of papers produced by D. R. Gamble. 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 D. R. Gamble. The network helps show where D. R. Gamble may publish in the future.
Co-authors
The 25 scholars most cited alongside D. R. Gamble, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In Situ Characterization of Autoimmune Phenomena and Expression of HLA Molecules in the Pancreas in Diabetic Insulitis Hit paper breakdown → | 1985 | 788 |
| 2 | 1969 | 323 | |
| 3 | 1969 | 267 | |
| 4 | 1975 | 179 | |
| 5 | 1973 | 172 | |
| 6 | 1975 | 133 | |
| 7 | 1980 | 126 | |
| 8 | 1973 | 77 | |
| 9 | 1980 | 60 | |
| 10 | 1977 | 59 | |
| 11 | 1971 | 50 | |
| 12 | 1974 | 42 | |
| 13 | 1973 | 39 | |
| 14 | 1975 | 36 | |
| 15 | 1980 | 34 | |
| 16 | 1976 | 33 | |
| 17 | 1974 | 26 | |
| 18 | 1976 | 23 | |
| 19 | 2008 | 22 | |
| 20 | 1986 | 18 |
About D. R. Gamble
D. R. Gamble is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diabetes and associated disorders (19 papers), Pancreatic function and diabetes (11 papers), Diabetes Management and Research (7 papers), Viral Infections and Immunology Research (7 papers), Virus-based gene therapy research (5 papers), Virology and Viral Diseases (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (1.9k citations), Immunology (622 citations), Surgery (1.2k citations) and Gastroenterology (84 citations). D. R. Gamble has collaborated with scholars based in United Kingdom, South Africa and Canada. Frequent co-authors include K. W. Taylor, Gian Franco Bottazzo, Peter G.F. Swift, B.M. Dean, E. Mackay, R Lendrum, G. Walker, Ronald W. Bolton, Margaret Fitzgerald and Arnold Bloom. Their work appears in journals such as The Lancet, Journal of Clinical Pathology, Diabetologia, Epidemiologic Reviews and Cell Biochemistry and Function.
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.