Peter R. Williamson
Impact in
- Infectious Diseases top 0.2%
- Antifungal resistance and susceptibility
- Epidemiology top 0.5%
- Fungal Infections and Studies
- Nail Diseases and Treatments
Papers in
-
- Antifungal resistance and susceptibility 88
- Epidemiology 113
- Fungal Infections and Studies 104
- Nail Diseases and Treatments 21
- Cytomegalovirus and herpesvirus research 14
- Autophagy in Disease and Therapy 8
- Co-authors
- John E. BennettJohn C. PanepintoArturo CasadevallAnil A. PanackalYoon‐Dong ParkK. J. Kwon-ChungLide LiuGuowu Hu
- Journals
- Infection and Immunity (10 papers)mBio (10 papers)Journal of Biological Chemistry (8 papers)Molecular Microbiology (8 papers)Journal of Clinical Investigation (7 papers)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Peter R. Williamson
143 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Infectious Diseases 3.3k
- Epidemiology 3.9k
- Immunology 1.1k
- Cell Biology 764
- Plant Science 1.3k
Countries citing papers authored by Peter R. Williamson
This map shows the geographic impact of Peter R. Williamson'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 R. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter R. Williamson more than expected).
Fields of papers citing papers by Peter R. Williamson
This network shows the impact of papers produced by Peter R. Williamson. 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 R. Williamson. The network helps show where Peter R. Williamson may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter R. Williamson, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 9 | |
| 6 | 2020 | 13 | |
| 7 | 2018 | 4 | |
| 8 | 2018 | 6 | |
| 9 | 2016 | 68 | |
| 10 | 2015 | 26 | |
| 11 | 2013 | 80 | |
| 12 | 2012 | 94 | |
| 13 | 2012 | 3 | |
| 14 | 2008 | 194 | |
| 15 | 2008 | 5 | |
| 16 | 2007 | 110 | |
| 17 | 2005 | 39 | |
| 18 | 2005 | 10 | |
| 19 | Men's health. Their own worst enemy. | 1996 | 3 |
| 20 | 1996 | 317 |
About Peter R. Williamson
Peter R. Williamson is a scholar working on Infectious Diseases, Epidemiology, Cell Biology, Microbiology and Molecular Medicine, having authored 145 papers that have together received 6.7k indexed citations. Recurring topics across this work include Fungal Infections and Studies (104 papers), Antifungal resistance and susceptibility (88 papers), Nail Diseases and Treatments (21 papers), Plant Pathogens and Fungal Diseases (16 papers), Cytomegalovirus and herpesvirus research (14 papers), Plant-Microbe Interactions and Immunity (13 papers), Autophagy in Disease and Therapy (8 papers) and Phytoplasmas and Hemiptera pathogens (7 papers). The work is most often cited by research in Infectious Diseases (3.3k citations), Epidemiology (3.9k citations), Immunology (1.1k citations), Cell Biology (764 citations) and Plant Science (1.3k citations). Peter R. Williamson has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include John E. Bennett, John C. Panepinto, Arturo Casadevall, Anil A. Panackal, Yoon‐Dong Park, K. J. Kwon-Chung, Lide Liu, Guowu Hu, John R. Perfect and Herbert M. Kagan. Their work appears in journals such as Infection and Immunity, mBio, Journal of Biological Chemistry, Molecular Microbiology and Journal of Clinical Investigation.
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.