James Wood
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology
- Viral gastroenteritis research and epidemiology
Papers in
-
- COVID-19 epidemiological studies 30
- Microbiology 15
- Bacterial Infections and Vaccines 10
- Co-authors
- C. Raina MacIntyreAnthony T. NewallPadmanesan NarasimhanDilip MathaiRobert BooyZhanhai GaoDominic E. DwyerPhilippe Beutels
- Journals
- Vaccine (35 papers)Epidemiology and Infection (7 papers)Emerging infectious diseases (5 papers)PharmacoEconomics (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- AustraliaBelgiumUnited Kingdom
In The Last Decade
James Wood
102 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Modeling and Simulation 659
- Infectious Diseases 973
- Health 328
- Epidemiology 1.3k
- Microbiology 172
Countries citing papers authored by James Wood
This map shows the geographic impact of James Wood'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 James Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Wood more than expected).
Fields of papers citing papers by James Wood
This network shows the impact of papers produced by James Wood. 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 James Wood. The network helps show where James Wood may publish in the future.
Co-authors
The 25 scholars most cited alongside James Wood, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 35 | |
| 10 | 2018 | 12 | |
| 11 | 2015 | 15 | |
| 12 | Global Potable Reuse Case Study 7: Beenyup Groundwater Replenishment Trial | 2014 | 1 |
| 13 | Global Potable Reuse Case Study 2: Upper Occoquan Service Authority | 2014 | 2 |
| 14 | 2013 | 32 | |
| 15 | 2012 | 6 | |
| 16 | 2012 | 15 | |
| 17 | 2009 | 5 | |
| 18 | 2008 | 4 | |
| 19 | 2008 | 63 | |
| 20 | 2008 | 45 |
About James Wood
James Wood is a scholar working on Modeling and Simulation, Microbiology, Health, Epidemiology and Infectious Diseases, having authored 108 papers that have together received 2.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (30 papers), Influenza Virus Research Studies (27 papers), Vaccine Coverage and Hesitancy (17 papers), Pneumonia and Respiratory Infections (14 papers), Virology and Viral Diseases (13 papers), Respiratory viral infections research (13 papers), Bacterial Infections and Vaccines (10 papers) and Viral Infections and Outbreaks Research (10 papers). The work is most often cited by research in Modeling and Simulation (659 citations), Infectious Diseases (973 citations), Health (328 citations), Epidemiology (1.3k citations) and Microbiology (172 citations). James Wood has collaborated with scholars based in Australia, Belgium and United Kingdom. Frequent co-authors include C. Raina MacIntyre, Anthony T. Newall, Padmanesan Narasimhan, Dilip Mathai, Robert Booy, Zhanhai Gao, Dominic E. Dwyer, Philippe Beutels, Gary Browne and Holly Seale. Their work appears in journals such as Vaccine, Epidemiology and Infection, Emerging infectious diseases, PharmacoEconomics and BMC Infectious Diseases.
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.