Paul M. Sharp
- Virology top 0.02%
- HIV Research and Treatment 67
- Infectious Diseases top 0.1%
- HIV/AIDS drug development and treatment 24
- HIV/AIDS Research and Interventions 17
- Molecular Biology top 0.1%
- Genomics and Phylogenetic Studies 58
- RNA and protein synthesis mechanisms 53
- RNA modifications and cancer 19
- Genetics top 0.05%
- Immunology top 0.5%
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- Herpesvirus Infections and Treatments 18
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- Bacteriophages and microbial interactions 17
- Co-authors
- Wen‐Hsiung LiDesmond G. HigginsBeatrice H. HahnKenneth H. WolfeGeorge M. ShawElizabeth BailesThérèse M.F. TuohyFeng Gao
- Journals
- Journal of Virology (22 papers)Journal of Molecular Evolution (13 papers)Nucleic Acids Research (12 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Paul M. Sharp
197 papers receiving 31.1k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Virology 7.3k
- Infectious Diseases 5.8k
- Molecular Biology 17.0k
- Genetics 6.4k
- Immunology 3.0k
Countries citing papers authored by Paul M. Sharp
This map shows the geographic impact of Paul M. 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 Paul M. Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul M. Sharp more than expected).
Fields of papers citing papers by Paul M. Sharp
This network shows the impact of papers produced by Paul M. 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 Paul M. Sharp. The network helps show where Paul M. Sharp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul M. 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 15 | |
| 8 | 2019 | 45 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 20 | |
| 11 | 2012 | 36 | |
| 12 | Chimpanzee Reservoirs of Pandemic and Nonpandemic HIV-1breakdown → | 2006 | 555 |
| 13 | 2004 | 16 | |
| 14 | 2003 | 13 | |
| 15 | Dating the origin of HIV-I subtypes - reply | 1999 | 3 |
| 16 | Origins and diversity of human immunodeficiency viruses | 1994 | 103 |
| 17 | 1994 | 37 | |
| 18 | 1994 | 10 | |
| 19 | 1994 | 104 | |
| 20 | 1993 | 8 |
About Paul M. Sharp
Paul M. Sharp is a scholar working on Virology, Infectious Diseases and Parasitology, having authored 199 papers that have together received 32.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (67 papers), Genomics and Phylogenetic Studies (58 papers), RNA and protein synthesis mechanisms (53 papers), HIV/AIDS drug development and treatment (24 papers), RNA modifications and cancer (19 papers), Herpesvirus Infections and Treatments (18 papers), Bacteriophages and microbial interactions (17 papers) and HIV/AIDS Research and Interventions (17 papers). The work is most often cited by research in Virology (7.3k citations), Infectious Diseases (5.8k citations) and Molecular Biology (17.0k citations). Paul M. Sharp has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Wen‐Hsiung Li, Desmond G. Higgins, Beatrice H. Hahn, Kenneth H. Wolfe, George M. Shaw, Elizabeth Bailes, Thérèse M.F. Tuohy, Feng Gao, David L. Robertson and Martine Peeters. Their work appears in journals such as Journal of Virology, Journal of Molecular Evolution, Nucleic Acids Research, Nature and Molecular Biology and Evolution.
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.