J. M. Watson
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Endocrinology top 5%
- Legionella and Acanthamoeba research
Papers in
- Epidemiology 10
- Influenza Virus Research Studies 7
- Respiratory viral infections research 6
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Co-authors
- B. W. Holloway (3 shared papers)Jennifer A. Marshall Graves (3 shared papers)Joanna Ellis (7 shared papers)Richard Pebody (7 shared papers)Jim McMenamin (6 shared papers)J A Spencer (2 shared papers)Arthur D. Riggs (2 shared papers)Nick Andrews (5 shared papers)
- Journals
- Eurosurveillance (5 papers)Epidemiology and Infection (4 papers)Journal of Bacteriology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Public Health (2 papers)
- Partner nations
- United KingdomAustraliaFrance
In The Last Decade
J. M. Watson
24 papers receiving 836 citations
Peers
Comparison fields: 5 of 83
- Modeling and Simulation 103
- Endocrinology 87
- Epidemiology 481
- Infectious Diseases 198
- Health 82
Countries citing papers authored by J. M. Watson
This map shows the geographic impact of J. M. Watson'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. M. Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Watson more than expected).
Fields of papers citing papers by J. M. Watson
This network shows the impact of papers produced by J. M. Watson. 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. M. Watson. The network helps show where J. M. Watson may publish in the future.
Co-authors
The 25 scholars most cited alongside J. M. Watson, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 117 | |
| 2 | 2011 | 91 | |
| 3 | 1997 | 70 | |
| 4 | 1991 | 56 | |
| 5 | 2011 | 54 | |
| 6 | 1976 | 52 | |
| 7 | 1990 | 52 | |
| 8 | 2014 | 51 | |
| 9 | 1994 | 50 | |
| 10 | 2012 | 46 | |
| 11 | 2011 | 44 | |
| 12 | 1978 | 43 | |
| 13 | 1993 | 33 | |
| 14 | 1996 | 28 | |
| 15 | 2013 | 25 | |
| 16 | 1990 | 24 | |
| 17 | 2002 | 16 | |
| 18 | 1994 | 15 | |
| 19 | 2002 | 13 | |
| 20 | 1978 | 13 |
About J. M. Watson
J. M. Watson is a scholar working on Epidemiology, Molecular Biology, Genetics, Infectious Diseases and Endocrinology, having authored 24 papers that have together received 919 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (6 papers), Legionella and Acanthamoeba research (4 papers), Bacteriophages and microbial interactions (3 papers), Tuberculosis Research and Epidemiology (3 papers), Chromosomal and Genetic Variations (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Modeling and Simulation (103 citations), Endocrinology (87 citations), Epidemiology (481 citations), Infectious Diseases (198 citations) and Health (82 citations). J. M. Watson has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include B. W. Holloway, Jennifer A. Marshall Graves, Joanna Ellis, Richard Pebody, Jim McMenamin, J A Spencer, Arthur D. Riggs, Nick Andrews, Douglas Fleming and Maria Zambon. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Journal of Bacteriology, Proceedings of the National Academy of Sciences and Journal of Public Health.
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.