R. Mark Sharp
- Genetics top 10%
- Genetic Associations and Epidemiology 4
- Virus-based gene therapy research 2
- Diabetes and associated disorders 2
- Hepatology top 10%
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- Herpesvirus Infections and Treatments 2
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- Primate Behavior and Ecology 3
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- Autoimmune and Inflammatory Disorders Research 2
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- Systemic Lupus Erythematosus Research 2
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- Cancer, Lipids, and Metabolism 2
- Co-authors
- James E. WomackJohn L. VandeBergJean W. MacCluerJohn BlangeroAnthony G. ComuzzieMichael C. MahaneyMichael P. SternCandace M. Kammerer
- Journals
- Journal of Medical Primatology (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Annals of Work Exposures and Health (1 paper)
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
R. Mark Sharp
25 papers receiving 802 citations
Peers
Comparison fields: 5 of 119
- Genetics 239
- Endocrinology, Diabetes and Metabolism 118
- Hepatology 52
- Virology 26
- Epidemiology 184
Countries citing papers authored by R. Mark Sharp
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 19 | |
| 2 | 2014 | 23 | |
| 3 | 2013 | 8 | |
| 4 | 2009 | 39 | |
| 5 | 2009 | 12 | |
| 6 | 2009 | 8 | |
| 7 | 1999 | 69 | |
| 8 | 1996 | 16 | |
| 9 | 1996 | 296 | |
| 10 | 1996 | 14 | |
| 11 | 1996 | 9 | |
| 12 | 1995 | 21 | |
| 13 | 1993 | 4 | |
| 14 | 1992 | 50 | |
| 15 | 1990 | 3 | |
| 16 | 1987 | 1 | |
| 17 | 1986 | 14 | |
| 18 | The utility of simplex sibships in the characterization of HLA-linked disease susceptibility genes. | 1984 | 5 |
| 19 | 1982 | 18 | |
| 20 | 1976 | 98 |
About R. Mark Sharp
R. Mark Sharp is a scholar working on Developmental Biology, Virology, Genetics, Behavioral Neuroscience and Small Animals, 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), Virus-based gene therapy research (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Diabetes and associated disorders (2 papers), Systemic Lupus Erythematosus Research (2 papers), Cancer, Lipids, and Metabolism (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 Denmark. Frequent co-authors include James E. Womack, John L. VandeBerg, Jean W. MacCluer, John Blangero, Anthony G. Comuzzie, Michael C. Mahaney, 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, Annals of Work Exposures and Health, Journal of Clinical Investigation and American Journal of Primatology.
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.