S. T. Bennett

1.7k citations
10 papers · 1.3k indexed · 1 hit paper · h-index 10

Impact in

Papers in

S. T. Bennett

10 papers receiving 1.3k citations

Hit Papers

Susceptibility to human type 1 diabetes at IDDM2 is determined by tandem repeat variation at the insulin gene minisatellite locus 1995 · 583 citations
5831995202620052015100200300400500

Peers

S. T. Bennett
Comparison fields: 5 of 90
  • Genetics 826
  • Endocrinology, Diabetes and Metabolism 355
  • Surgery 473
  • Immunology 149
  • Reproductive Medicine 58
Replace Guiomar Pérez de Nanclares with:
Guiomar Pérez de Nanclares Spain
M Karp Israel
James N. Anasti United States
A Schneider Germany
Pierre Lecomte France
L. Ogren United States
Paul G. Farnworth Australia
Yoshito Ibuki Japan
Patricia H. Watson Canada
Kazuhiro Ishizaka Japan
S. T. Bennett relative to Guiomar Pérez de Nanclares Spain Guiomar Pérez de Nanclares's profile →
Citations per field
00.5×2.9×
Guiomar Pérez de Nanclares · 1×
Citations per year

Countries citing papers authored by S. T. Bennett

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with S. T. Bennett Line = papers co-authored together S. T. Bennett links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201928
2 200520
3 200182
4 200050
5 199934
6 1996225
7
Susceptibility to human type 1 diabetes at IDDM2 is determined by tandem repeat variation at the insulin gene minisatellite locus
Hit paper breakdown →
1995583
8 199519
9 1994245
10
Cryptorchidism in the horse: genetic implications
198513

About S. T. Bennett

S. T. Bennett is a scholar working on Orthopedics and Sports Medicine, Genetics, Surgery, Molecular Biology and Nutrition and Dietetics, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Genetic Syndromes and Imprinting (3 papers), Diabetes and associated disorders (2 papers), Bone health and osteoporosis research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Bone Metabolism and Diseases (2 papers), Microbial Metabolites in Food Biotechnology (1 paper) and Food composition and properties (1 paper). The work is most often cited by research in Genetics (826 citations), Endocrinology, Diabetes and Metabolism (355 citations), Surgery (473 citations), Immunology (149 citations) and Reproductive Medicine (58 citations). S. T. Bennett has collaborated with scholars based in United Kingdom, Denmark and France. Frequent co-authors include John A. Todd, L E Pritchard, Yasushi Kawaguchi, Elizabeth E. Powell, Stephen Gough, Kjersti S. Rønningen, Dag E. Undlien, Marilyn E. Merriman, Anne Cambon‐Thomsen and Jørn Nerup. Their work appears in journals such as Nature Genetics, Diabetes, Journal of Bone and Mineral Research, Diabetic Medicine and Annual Review of Genetics.

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.

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