J. S. Willman
Impact in
- Dermatology top 1%
- Dermatological and COVID-19 studies
- Infectious Diseases top 2%
- Parvovirus B19 Infection Studies
Papers in
-
- Respiratory viral infections research 6
- Influenza Virus Research Studies 2
-
- COVID-19 and Mental Health 3
- Co-authors
- D. A. J. Tyrrell (14 shared papers)Paul G. Higgins (12 shared papers)J Pattison (2 shared papers)M. J. Anderson (2 shared papers)Michael Kidd (1 shared paper)L. R. Davis (1 shared paper)Shane Jones (1 shared paper)Kieran Coyle (7 shared papers)
- Journals
- Psychology and Health (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)British Journal of Psychology (1 paper)Journal of Clinical Investigation (1 paper)Neuropsychobiology (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
J. S. Willman
15 papers receiving 983 citations
J. S. Willman's Hit Papers
Peers
Comparison fields: 5 of 81
- Dermatology 443
- Infectious Diseases 721
- Behavioral Neuroscience 48
- Pediatrics, Perinatology and Child Health 195
- Biological Psychiatry 24
Countries citing papers authored by J. S. Willman
This map shows the geographic impact of J. S. Willman'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 J. S. Willman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. S. Willman more than expected).
Fields of papers citing papers by J. S. Willman
This network shows the impact of papers produced by J. S. Willman. 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 J. S. Willman. The network helps show where J. S. Willman may publish in the future.
Co-authors
The 21 scholars most cited alongside J. S. Willman, 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 | Experimental Parvoviral Infection in Humans Hit paper breakdown → | 1985 | 584 |
| 2 | 1987 | 129 | |
| 3 | 1987 | 57 | |
| 4 | 1988 | 53 | |
| 5 | 1984 | 37 | |
| 6 | 1984 | 36 | |
| 7 | 1986 | 33 | |
| 8 | 1992 | 26 | |
| 9 | 1986 | 24 | |
| 10 | 1987 | 23 | |
| 11 | 1988 | 20 | |
| 12 | 1990 | 16 | |
| 13 | 2008 | 14 | |
| 14 | 1984 | 11 | |
| 15 | 1990 | 10 |
About J. S. Willman
J. S. Willman is a scholar working on Epidemiology, Clinical Psychology, Infectious Diseases, Pharmacology and Neurology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Respiratory viral infections research (6 papers), COVID-19 and Mental Health (3 papers), Drug-Induced Adverse Reactions (2 papers), Parvovirus B19 Infection Studies (2 papers), Viral Infections and Immunology Research (2 papers), Long-Term Effects of COVID-19 (2 papers), Influenza Virus Research Studies (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Dermatology (443 citations), Infectious Diseases (721 citations), Behavioral Neuroscience (48 citations), Pediatrics, Perinatology and Child Health (195 citations) and Biological Psychiatry (24 citations). J. S. Willman has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include D. A. J. Tyrrell, Paul G. Higgins, J Pattison, M. J. Anderson, Michael Kidd, L. R. Davis, Shane Jones, Kieran Coyle, Andrew Smith and W. Al‐Nakib. Their work appears in journals such as Psychology and Health, Journal of Antimicrobial Chemotherapy, British Journal of Psychology, Journal of Clinical Investigation and Neuropsychobiology.
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.