Tom Sumner
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Archeology top 5%
Papers in
-
- Tuberculosis Research and Epidemiology 35
- Epidemiology 10
- Pneumonia and Respiratory Infections 5
- Co-authors
- Richard Guy White (33 shared papers)Rein M G J Houben (13 shared papers)Rebecca Claire Harris (7 shared papers)Gwenan M. Knight (4 shared papers)Philippe Glaziou (2 shared papers)Anna Vassall (7 shared papers)I. David L. Bogle (4 shared papers)Christopher Finn McQuaid (2 shared papers)
- Journals
- The Lancet Global Health (6 papers)The International Journal of Tuberculosis and Lung Disease (4 papers)Journal of The Royal Society Interface (4 papers)American Journal of Epidemiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomSouth AfricaUnited States
In The Last Decade
Tom Sumner
52 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 143
- Infectious Diseases 1.1k
- Archeology 32
- Modeling and Simulation 99
- Epidemiology 371
- Immunology 167
Countries citing papers authored by Tom Sumner
This map shows the geographic impact of Tom Sumner'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 Tom Sumner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Sumner more than expected).
Fields of papers citing papers by Tom Sumner
This network shows the impact of papers produced by Tom Sumner. 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 Tom Sumner. The network helps show where Tom Sumner may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Sumner, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 173 | |
| 2 | 2014 | 148 | |
| 3 | 2016 | 144 | |
| 4 | 2021 | 113 | |
| 5 | 2018 | 108 | |
| 6 | 2016 | 93 | |
| 7 | 2016 | 75 | |
| 8 | 2012 | 62 | |
| 9 | 2014 | 50 | |
| 10 | 2019 | 49 | |
| 11 | 2020 | 49 | |
| 12 | 2017 | 46 | |
| 13 | 2016 | 42 | |
| 14 | 2021 | 40 | |
| 15 | 2015 | 38 | |
| 16 | 2017 | 38 | |
| 17 | 2013 | 33 | |
| 18 | 2018 | 31 | |
| 19 | 2018 | 25 | |
| 20 | 2011 | 21 |
About Tom Sumner
Tom Sumner is a scholar working on Infectious Diseases, Epidemiology, Archeology, Agronomy and Crop Science and Anthropology, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (35 papers), Pneumonia and Respiratory Infections (5 papers), HIV/AIDS Impact and Responses (4 papers), Animal Disease Management and Epidemiology (4 papers), Diagnosis and treatment of tuberculosis (4 papers), Vector-Borne Animal Diseases (4 papers), Pleistocene-Era Hominins and Archaeology (4 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Archeology (32 citations), Modeling and Simulation (99 citations), Epidemiology (371 citations) and Immunology (167 citations). Tom Sumner has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Richard Guy White, Rein M G J Houben, Rebecca Claire Harris, Gwenan M. Knight, Philippe Glaziou, Anna Vassall, I. David L. Bogle, Christopher Finn McQuaid, Jonathan Michael Read and Nicky McCreesh. Their work appears in journals such as The Lancet Global Health, The International Journal of Tuberculosis and Lung Disease, Journal of The Royal Society Interface, American Journal of Epidemiology and Proceedings of the National Academy of Sciences.
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.