John T. Watson
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 0.5%
Papers in
-
- Viral gastroenteritis research and epidemiology 17
- SARS-CoV-2 and COVID-19 Research 14
- Epidemiology 68
- Bone fractures and treatments 43
- Respiratory viral infections research 16
- Co-authors
- Susan I. GerberMichelle GayerMáire A ConnollySamir MehtaAaron NauthHolly M. BiggsJames T. WillersonGlen R. Abedi
- Journals
- Journal of Orthopaedic Trauma (20 papers)Emerging infectious diseases (11 papers)ASAIO Journal (10 papers)Injury (6 papers)Clinical Orthopaedics and Related Research (6 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John T. Watson
175 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Infectious Diseases 1.7k
- Modeling and Simulation 391
- Epidemiology 2.1k
- Surgery 2.4k
- Emergency Medicine 479
Countries citing papers authored by John T. Watson
This map shows the geographic impact of John T. 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 John T. Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Watson more than expected).
Fields of papers citing papers by John T. Watson
This network shows the impact of papers produced by John T. 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 John T. Watson. The network helps show where John T. Watson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John T. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2020 | 1 | |
| 4 | Surveillance and testing for Middle East respiratory syndrome coronavirus (MERS-COV), Saudi Arabia, 2016-2019 | 2020 | 7 |
| 5 | 2020 | 39 | |
| 6 | 2018 | 30 | |
| 7 | 2018 | 194 | |
| 8 | 2018 | 36 | |
| 9 | 2017 | 7 | |
| 10 | 2017 | 102 | |
| 11 | 2016 | 106 | |
| 12 | 2013 | 307 | |
| 13 | 2011 | 24 | |
| 14 | 2011 | 3 | |
| 15 | 2009 | 8 | |
| 16 | 1999 | 249 | |
| 17 | 1998 | 56 | |
| 18 | 1986 | 20 | |
| 19 | The combined influence of hypertonic mannitol and intraaortic balloon pumping on collateral coronary blood flow in ischemic myocardium | 1974 | 2 |
| 20 | 1974 | 5 |
About John T. Watson
John T. Watson is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Surgery and Cardiology and Cardiovascular Medicine, having authored 179 papers that have together received 7.2k indexed citations. Recurring topics across this work include Bone fractures and treatments (43 papers), Mechanical Circulatory Support Devices (23 papers), Orthopaedic implants and arthroplasty (20 papers), Hip and Femur Fractures (19 papers), Cardiac Structural Anomalies and Repair (17 papers), Viral gastroenteritis research and epidemiology (17 papers), Respiratory viral infections research (16 papers) and SARS-CoV-2 and COVID-19 Research (14 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Modeling and Simulation (391 citations), Epidemiology (2.1k citations), Surgery (2.4k citations) and Emergency Medicine (479 citations). John T. Watson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Susan I. Gerber, Michelle Gayer, Máire A Connolly, Samir Mehta, Aaron Nauth, Holly M. Biggs, James T. Willerson, Glen R. Abedi, Thomas A. Einhorn and Emil H. Schemitsch. Their work appears in journals such as Journal of Orthopaedic Trauma, Emerging infectious diseases, ASAIO Journal, Injury and Clinical Orthopaedics and Related Research.
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.