Lynn E. Pritchard

2.2k citations
12 papers · 1.7k · 1 hit paper · h-index 10

Impact in

Papers in

Lynn E. Pritchard

12 papers receiving 1.7k citations

Lynn E. Pritchard's Hit Papers

A genome-wide search for human type 1 diabetes susceptibility genes 1994 · 962 citations
9620+10+21Years since publication250500750

Peers

Lynn E. Pritchard
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 239
  • Genetics 958
  • Endocrinology, Diabetes and Metabolism 355
  • Immunology 279
  • Surgery 480
Replace James G. Simmons with:
James G. Simmons United States
L E Pritchard United Kingdom
John F. Kuemmerle United States
Bernard Khoo United Kingdom
Milton R. Brown United States
Bilgin Yüksel Türkiye
Thomas L. Paquette United States
Sarah Gibson United Kingdom
Dong‐Ming Su United States
Jolanta B. Pucilowska United States
Lynn E. Pritchard relative to James G. Simmons United States James G. Simmons's profile →
Citations per field
00.5×1.5×2.3×
James G. Simmons · 1×
Citations per year

Countries citing papers authored by Lynn E. Pritchard

Since Specialization
Citations

This map shows the geographic impact of Lynn E. Pritchard'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 Lynn E. Pritchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn E. Pritchard more than expected).

Fields of papers citing papers by Lynn E. Pritchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynn E. Pritchard. 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 Lynn E. Pritchard. The network helps show where Lynn E. Pritchard may publish in the future.

Co-authors

The 25 scholars most cited alongside Lynn E. Pritchard, 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 Lynn E. Pritchard Line = papers co-authored together Lynn E. Pritchard links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
A genome-wide search for human type 1 diabetes susceptibility genes
Hit paper breakdown →
1994962
2 1998250
3 2007132
4 200591
5 200790
6 200357
7 199543
8 199529
9 200329
10 200523
11 19956
12 19933

About Lynn E. Pritchard

Lynn E. Pritchard is a scholar working on Endocrine and Autonomic Systems, Surgery, Nutrition and Dietetics, Genetics and Cell Biology, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (6 papers), Pancreatic function and diabetes (5 papers), Biochemical Analysis and Sensing Techniques (5 papers), melanin and skin pigmentation (4 papers), Diabetes and associated disorders (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (239 citations), Genetics (958 citations), Endocrinology, Diabetes and Metabolism (355 citations), Immunology (279 citations) and Surgery (480 citations). Lynn E. Pritchard has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Anthony Barnett, John A. Todd, Stephen C. Bain, Anne White, James Copeman, June Davies, Yoshihiko Kawaguchi, Peter Reed, Stephen Gough and Martin Farrall. Their work appears in journals such as Endocrinology, Nature Genetics, Human Molecular Genetics, The FASEB Journal and Nature.

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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