Paul M. Sharp
Impact in
- Virology top 0.02%
- HIV Research and Treatment
- Infectious Diseases top 0.1%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- Genomics and Phylogenetic Studies 58
- RNA and protein synthesis mechanisms 53
- RNA modifications and cancer 18
- Virology 69
- HIV Research and Treatment 69
- Co-authors
- Wen‐Hsiung Li (18 shared papers)Desmond G. Higgins (7 shared papers)Beatrice H. Hahn (76 shared papers)Kenneth H. Wolfe (14 shared papers)George M. Shaw (31 shared papers)Elizabeth Bailes (27 shared papers)Feng Gao (18 shared papers)Thérèse M.F. Tuohy (1 shared paper)
- Journals
- Journal of Virology (22 papers)Journal of Molecular Evolution (13 papers)Nucleic Acids Research (12 papers)Nature (9 papers)Molecular Biology and Evolution (9 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Paul M. Sharp
201 papers receiving 32.5k citations
Paul M. Sharp's Hit Papers
Peers
Comparison fields: 5 of 206
- Virology 7.5k
- Infectious Diseases 5.6k
- Molecular Biology 16.9k
- Genetics 6.7k
- Immunology 2.9k
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-authors
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
Showing the 20 most-cited of 205 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CLUSTAL: a package for performing multiple sequence alignment on a microcomputer Hit paper breakdown → | 1988 | 3094 |
| 2 | The codon adaptation index-a measure of directional synonymous codon usage bias, and its potential applications Hit paper breakdown → | 1987 | 3072 |
| 3 | Rates of nucleotide substitution vary greatly among plant mitochondrial, chloroplast, and nuclear DNAs. Hit paper breakdown → | 1987 | 1922 |
| 4 | Origin of HIV-1 in the chimpanzee Pan troglodytes troglodytes Hit paper breakdown → | 1999 | 1189 |
| 5 | Fast and sensitive multiple sequence alignments on a microcomputer Hit paper breakdown → | 1989 | 1188 |
| 6 | Codon usage in yeast: cluster analysis clearly differentiates highly and lowly expressed genes Hit paper breakdown → | 1986 | 996 |
| 7 | Origins of HIV and the AIDS Pandemic Hit paper breakdown → | 2011 | 895 |
| 8 | AIDS as a Zoonosis: Scientific and Public Health Implications Hit paper breakdown → | 2000 | 850 |
| 9 | An evolutionary perspective on synonymous codon usage in unicellular organisms Hit paper breakdown → | 1986 | 790 |
| 10 | Chimpanzee Reservoirs of Pandemic and Nonpandemic HIV-1 Hit paper breakdown → | 2006 | 635 |
| 11 | Evidence for two independent domestications of cattle. Hit paper breakdown → | 1994 | 623 |
| 12 | Date of the monocot-dicot divergence estimated from chloroplast DNA sequence data. Hit paper breakdown → | 1989 | 560 |
| 13 | Codon usage patterns inEscherichia coli, Bacillus subtilis, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Drosophila melanogasterandHomo sapiens; a review of the considerable within-species diversity Hit paper breakdown → | 1988 | 515 |
| 14 | Codon usage in regulatory genes inEscherichia colidoes not reflect selection for ‘rare’ codons Hit paper breakdown → | 1986 | 510 |
| 15 | Mutation rates differ among regions of the mammalian genome Hit paper breakdown → | 1989 | 503 |
| 16 | 1991 | 498 | |
| 17 | "Silent" sites in Drosophila genes are not neutral: evidence of selection among synonymous codons. Hit paper breakdown → | 1988 | 483 |
| 18 | 2008 | 442 | |
| 19 | 1992 | 388 | |
| 20 | 1987 | 385 |
About Paul M. Sharp
Paul M. Sharp is a scholar working on Molecular Biology, Virology, Epidemiology, Genetics and Infectious Diseases, having authored 205 papers that have together received 34.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (69 papers), Genomics and Phylogenetic Studies (58 papers), RNA and protein synthesis mechanisms (53 papers), HIV/AIDS drug development and treatment (23 papers), Herpesvirus Infections and Treatments (19 papers), Bacterial Genetics and Biotechnology (18 papers), Bacteriophages and microbial interactions (18 papers) and RNA modifications and cancer (18 papers). The work is most often cited by research in Virology (7.5k citations), Infectious Diseases (5.6k citations), Molecular Biology (16.9k citations), Genetics (6.7k citations) and Immunology (2.9k 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, Feng Gao, Thérèse M.F. Tuohy, 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.