James Hadfield
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 3
- Co-authors
- Trevor Bedford (6 shared papers)Richard A. Neher (5 shared papers)John Huddleston (4 shared papers)Barney Potter (2 shared papers)Colin Megill (1 shared paper)Sidney M. Bell (1 shared paper)Charlton Callender (1 shared paper)Simon R. Harris (4 shared papers)
- Journals
- Virus Research (4 papers)Bioinformatics (3 papers)Archives of Virology (3 papers)Nature Communications (3 papers)Virus Evolution (2 papers)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
James Hadfield
33 papers receiving 2.9k citations
James Hadfield's Hit Papers
Peers
Comparison fields: 5 of 126
- Infectious Diseases 1.5k
- Modeling and Simulation 260
- Endocrinology 211
- Molecular Medicine 145
- Microbiology 173
Countries citing papers authored by James Hadfield
This map shows the geographic impact of James Hadfield'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 Hadfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Hadfield more than expected).
Fields of papers citing papers by James Hadfield
This network shows the impact of papers produced by James Hadfield. 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 Hadfield. The network helps show where James Hadfield may publish in the future.
Co-authors
The 25 scholars most cited alongside James Hadfield, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nextstrain: real-time tracking of pathogen evolution Hit paper breakdown → | 2018 | 1793 |
| 2 | Phandango: an interactive viewer for bacterial population genomics Hit paper breakdown → | 2017 | 429 |
| 3 | 2021 | 113 | |
| 4 | 2019 | 96 | |
| 5 | 2012 | 53 | |
| 6 | 2020 | 52 | |
| 7 | 2019 | 49 | |
| 8 | 2017 | 47 | |
| 9 | 2012 | 37 | |
| 10 | 2016 | 35 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2019 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2017 | 20 | |
| 17 | 2022 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2012 | 16 | |
| 20 | 2020 | 14 |
About James Hadfield
James Hadfield is a scholar working on Epidemiology, Infectious Diseases, Plant Science, Microbiology and Endocrinology, having authored 33 papers that have together received 3.0k indexed citations. Recurring topics across this work include Plant Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Reproductive tract infections research (5 papers), Plant and Fungal Interactions Research (4 papers), Bacteriophages and microbial interactions (4 papers), Genomics and Phylogenetic Studies (3 papers), COVID-19 Clinical Research Studies (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Modeling and Simulation (260 citations), Endocrinology (211 citations), Molecular Medicine (145 citations) and Microbiology (173 citations). James Hadfield has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Trevor Bedford, Richard A. Neher, John Huddleston, Barney Potter, Colin Megill, Sidney M. Bell, Charlton Callender, Simon R. Harris, Nicholas J. Croucher and Khalil Abudahab. Their work appears in journals such as Virus Research, Bioinformatics, Archives of Virology, Nature Communications and Virus Evolution.
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.