S. T. Bennett
Impact in
- Genetics top 2%
- Diabetes and associated disorders
- Genetic Associations and Epidemiology
- Genetic Syndromes and Imprinting
-
- Diabetes Management and Research
Papers in
- Surgery 5
- Pancreatic function and diabetes 4
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- Bone Metabolism and Diseases 2
- Epigenetics and DNA Methylation 1
- Co-authors
- John A. Todd (4 shared papers)Elizabeth E. Powell (2 shared papers)L E Pritchard (2 shared papers)Yasushi Kawaguchi (2 shared papers)Stephen Gough (2 shared papers)Dag E. Undlien (2 shared papers)Kjersti S. Rønningen (2 shared papers)Marilyn E. Merriman (1 shared paper)
- Journals
- Nature Genetics (2 papers)Diabetes (2 papers)Journal of Bone and Mineral Research (1 paper)Annual Review of Genetics (1 paper)Diabetic Medicine (1 paper)
- Partner nations
- United KingdomDenmarkFrance
In The Last Decade
S. T. Bennett
9 papers receiving 1.2k citations
S. T. Bennett's Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 773
- Endocrinology, Diabetes and Metabolism 300
- Surgery 403
- Reproductive Medicine 55
- Immunology 129
Countries citing papers authored by S. T. Bennett
This map shows the geographic impact of S. T. Bennett'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 S. T. Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. T. Bennett more than expected).
Fields of papers citing papers by S. T. Bennett
This network shows the impact of papers produced by S. T. Bennett. 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 S. T. Bennett. The network helps show where S. T. Bennett may publish in the future.
Co-authors
The 25 scholars most cited alongside S. T. Bennett, 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 | Susceptibility to human type 1 diabetes at IDDM2 is determined by tandem repeat variation at the insulin gene minisatellite locus Hit paper breakdown → | 1995 | 583 |
| 2 | 1994 | 245 | |
| 3 | 1996 | 225 | |
| 4 | 2001 | 81 | |
| 5 | 2000 | 50 | |
| 6 | 1999 | 34 | |
| 7 | 2005 | 20 | |
| 8 | 1995 | 19 | |
| 9 | Cryptorchidism in the horse: genetic implications | 1985 | 13 |
About S. T. Bennett
S. T. Bennett is a scholar working on Surgery, Molecular Biology, Genetics, Orthopedics and Sports Medicine and Pharmacology, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Genetic Syndromes and Imprinting (3 papers), Bone Metabolism and Diseases (2 papers), Bone health and osteoporosis research (2 papers), Biomarkers in Disease Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Diabetes and associated disorders (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Genetics (773 citations), Endocrinology, Diabetes and Metabolism (300 citations), Surgery (403 citations), Reproductive Medicine (55 citations) and Immunology (129 citations). S. T. Bennett has collaborated with scholars based in United Kingdom, Denmark and France. Frequent co-authors include John A. Todd, Elizabeth E. Powell, L E Pritchard, Yasushi Kawaguchi, Stephen Gough, Dag E. Undlien, Kjersti S. Rønningen, Marilyn E. Merriman, M. J. Dronsfield and Jørn Nerup. Their work appears in journals such as Nature Genetics, Diabetes, Journal of Bone and Mineral Research, Annual Review of Genetics and Diabetic Medicine.
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.