R. Mark Sharp

1.1k citations
27 papers · 931 · h-index 15

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Diabetes, Cardiovascular Risks, and Lipoproteins

Papers in

R. Mark Sharp

26 papers receiving 872 citations

Peers

R. Mark Sharp
Comparison fields: 5 of 119
  • Genetics 215
  • Endocrinology, Diabetes and Metabolism 113
  • Hepatology 40
  • Hematology 58
  • Virology 24
Replace Yukië Tanaka with:
Yukië Tanaka Japan
Patrizia Luppi United States
Franco Dammacco Italy
P J Linton United States
Christoph Huber Austria
Andre J. Bester South Africa
Susan M. Viselli United States
Helmut WACHTER Austria
Matthew A. Quinn United States
Raphael Sanches Peres Brazil
R. Mark Sharp relative to Yukië Tanaka Japan Yukië Tanaka's profile →
Citations per field
00.5×2×3.0×
Yukië Tanaka · 1×
Citations per year

Countries citing papers authored by R. Mark Sharp

Since Specialization
Citations

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

Fields of papers citing papers by R. Mark Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Mark Sharp. 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 R. Mark Sharp. The network helps show where R. Mark Sharp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996325
2 1976106
3 199974
4 197659
5 200945
6 199245
7 198030
8 201426
9 199521
10 198620
11 201419
12 201419
13 201719
14 198219
15 199616
16 201715
17 200914
18 199614
19 201310
20 200910

About R. Mark Sharp

R. Mark Sharp is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Hematology, Social Psychology and Small Animals, having authored 27 papers that have together received 931 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Primate Behavior and Ecology (4 papers), Diabetes and associated disorders (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Animal Behavior and Welfare Studies (2 papers), Cancer, Lipids, and Metabolism (2 papers), Intestinal and Peritoneal Adhesions (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Genetics (215 citations), Endocrinology, Diabetes and Metabolism (113 citations), Hepatology (40 citations), Hematology (58 citations) and Virology (24 citations). R. Mark Sharp has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include James E. Womack, John L. VandeBerg, Anthony Gean Comuzzie, Michael C. Mahaney, John Blangero, JEAN WALTERS MacCLUER, Michael P. Stern, Candace M. Kammerer, David L. Rainwater and James E. Hixson. Their work appears in journals such as Journal of Medical Primatology, Arteriosclerosis Thrombosis and Vascular Biology, Genetics, American Journal of Tropical Medicine and Hygiene and Nutrition Reviews.

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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