R. Mark Sharp

1.1k citations
25 papers · 841 · h-index 14

Impact in

Papers in

    • Genetic Associations and Epidemiology 4
    • Virus-based gene therapy research 2
    • Diabetes and associated disorders 2
    • Herpesvirus Infections and Treatments 2

R. Mark Sharp

25 papers receiving 802 citations

Peers

R. Mark Sharp
Comparison fields: 5 of 119
  • Genetics 239
  • Endocrinology, Diabetes and Metabolism 118
  • Hepatology 52
  • Virology 26
  • Epidemiology 184
Replace Teresa Miller with:
Teresa Miller United States
Guan K. Tay Australia
A Mackiewicz United States
C Huber Austria
Walter Sibrowski Germany
Noriko Yokoyama Japan
Patrizia Luppi United States
Matthew Quinn United States
SR Mehta India
D Boucher France
R. Mark Sharp relative to Teresa Miller United States Teresa Miller's profile →
Citations per field
00.5×3.0×
Teresa Miller · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996296
2 197698
3 199969
4 197656
5 199250
6 200939
7 198029
8 201423
9 199521
10 201719
11 198218
12 199616
13 198614
14 199614
15 201713
16 201413
17 200912
18 19969
19 20098
20 20138

About R. Mark Sharp

R. Mark Sharp is a scholar working on Genetics, Epidemiology, Molecular Biology, Immunology and Social Psychology, having authored 25 papers that have together received 841 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Primate Behavior and Ecology (3 papers), Cancer, Lipids, and Metabolism (2 papers), Virus-based gene therapy research (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), T-cell and B-cell Immunology (2 papers), Diabetes and associated disorders (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Genetics (239 citations), Endocrinology, Diabetes and Metabolism (118 citations), Hepatology (52 citations), Virology (26 citations) and Epidemiology (184 citations). R. Mark Sharp has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include James E. Womack, John L. VandeBerg, Anthony G. Comuzzie, Michael C. Mahaney, Jean W. MacCluer, John Blangero, Michael P. Stern, David L. Rainwater, Candace M. Kammerer and James E. Hixson. Their work appears in journals such as Journal of Medical Primatology, Arteriosclerosis Thrombosis and Vascular Biology, Annals of Work Exposures and Health, Journal of Clinical Investigation and Circulation.

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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