Peter Simmonds
Impact in
- Hepatology top 0.01%
- Hepatitis C virus research
- Virology top 0.05%
- HIV Research and Treatment
Papers in
- Hepatology 250
- Hepatitis C virus research 229
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- Viral gastroenteritis research and epidemiology 97
- Co-authors
- Donald B. Smith (51 shared papers)Edward Charles Holmes (21 shared papers)Fiona McOmish (30 shared papers)Heli Harvala (58 shared papers)P.L. Yap (26 shared papers)Andrew Brown (14 shared papers)Jens Bukh (9 shared papers)Kate E Templeton (21 shared papers)
- Journals
- Journal of General Virology (66 papers)Journal of Virology (51 papers)Archives of Virology (29 papers)The Journal of Infectious Diseases (28 papers)The Lancet (24 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Peter Simmonds
668 papers receiving 53.9k citations
Peter Simmonds's Hit Papers
Peers
Comparison fields: 5 of 202
- Hepatology 19.5k
- Virology 5.5k
- Infectious Diseases 18.9k
- Epidemiology 19.5k
- Animal Science and Zoology 5.6k
Countries citing papers authored by Peter Simmonds
This map shows the geographic impact of Peter Simmonds'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 Peter Simmonds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Simmonds more than expected).
Fields of papers citing papers by Peter Simmonds
This network shows the impact of papers produced by Peter Simmonds. 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 Peter Simmonds. The network helps show where Peter Simmonds may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Simmonds, 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 679 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification of hepatitis C virus into six major genotypes and a series of subtypes by phylogenetic analysis of the NS-5 region Hit paper breakdown → | 1993 | 1217 |
| 2 | Consensus Proposals for a Unified System of Nomenclature of Hepatitis C Virus Genotypes * Hit paper breakdown → | 2005 | 1213 |
| 3 | Expanded classification of hepatitis C virus into 7 genotypes and 67 subtypes: Updated criteria and genotype assignment web resource Hit paper breakdown → | 2013 | 1087 |
| 4 | Broad and strong memory CD4+ and CD8+ T cells induced by SARS-CoV-2 in UK convalescent individuals following COVID-19 Hit paper breakdown → | 2020 | 974 |
| 5 | Changes to taxonomy and the International Code of Virus Classification and Nomenclature ratified by the International Committee on Taxonomy of Viruses (2018) Hit paper breakdown → | 2018 | 961 |
| 6 | A proposed system for the nomenclature of hepatitis C viral genotypes Hit paper breakdown → | 1994 | 932 |
| 7 | The evolution of SARS-CoV-2 Hit paper breakdown → | 2023 | 743 |
| 8 | Genetic diversity and evolution of hepatitis C virus – 15 years on Hit paper breakdown → | 2004 | 697 |
| 9 | ICTV Virus Taxonomy Profile: Flaviviridae Hit paper breakdown → | 2017 | 647 |
| 10 | Consensus proposals for classification of the family Hepeviridae Hit paper breakdown → | 2014 | 590 |
| 11 | 1996 | 563 | |
| 12 | 1999 | 559 | |
| 13 | Changes to taxonomy and the International Code of Virus Classification and Nomenclature ratified by the International Committee on Taxonomy of Viruses (2017) Hit paper breakdown → | 2017 | 552 |
| 14 | Virus taxonomy in the age of metagenomics Hit paper breakdown → | 2017 | 551 |
| 15 | Epidemiology and Clinical Presentations of the Four Human Coronaviruses 229E, HKU1, NL63, and OC43 Detected over 3 Years Using a Novel Multiplex Real-Time PCR Method Hit paper breakdown → | 2010 | 539 |
| 16 | Human immunodeficiency virus-infected individuals contain provirus in small numbers of peripheral mononuclear cells and at low copy numbers Hit paper breakdown → | 1990 | 529 |
| 17 | Hepatitis C virus genotypes: An investigation of type-specific differences in geographic origin and disease Hit paper breakdown → | 1994 | 514 |
| 18 | 1995 | 480 | |
| 19 | ICTV Virus Taxonomy Profile: Picornaviridae Hit paper breakdown → | 2017 | 447 |
| 20 | MAIT cells are activated during human viral infections Hit paper breakdown → | 2016 | 424 |
About Peter Simmonds
Peter Simmonds is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Virology and Cardiology and Cardiovascular Medicine, having authored 679 papers that have together received 56.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (229 papers), Hepatitis B Virus Studies (154 papers), Viral Infections and Immunology Research (105 papers), Viral gastroenteritis research and epidemiology (97 papers), Liver Disease Diagnosis and Treatment (90 papers), HIV Research and Treatment (70 papers), Animal Virus Infections Studies (70 papers) and Plant Virus Research Studies (59 papers). The work is most often cited by research in Hepatology (19.5k citations), Virology (5.5k citations), Infectious Diseases (18.9k citations), Epidemiology (19.5k citations) and Animal Science and Zoology (5.6k citations). Peter Simmonds has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Donald B. Smith, Edward Charles Holmes, Fiona McOmish, Heli Harvala, P.L. Yap, Andrew Brown, Jens Bukh, Kate E Templeton, Fordyce A. Davidson and Jeanne E. Bell. Their work appears in journals such as Journal of General Virology, Journal of Virology, Archives of Virology, The Journal of Infectious Diseases and The Lancet.
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.