Thomas Searle
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Co-authors
- Richard Dobson (13 shared papers)James Teo (8 shared papers)Željko Kraljević (6 shared papers)Rebecca Bendayan (6 shared papers)Daniel Bean (6 shared papers)Kevin O’Gallagher (4 shared papers)Ajay M. Shah (5 shared papers)Anthony Shek (5 shared papers)
- Journals
- European Journal of Heart Failure (2 papers)Acta Obstetricia Et Gynecologica Scandinavica (2 papers)World Neurosurgery (1 paper)BMJ Open (1 paper)BJOG An International Journal of Obstetrics & Gynaecology (1 paper)
- Partner nations
- United KingdomNorwayItaly
In The Last Decade
Thomas Searle
19 papers receiving 327 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 23
- Infectious Diseases 136
- Reproductive Medicine 38
- Neurology 65
- Health Information Management 13
Countries citing papers authored by Thomas Searle
This map shows the geographic impact of Thomas Searle'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 Thomas Searle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Searle more than expected).
Fields of papers citing papers by Thomas Searle
This network shows the impact of papers produced by Thomas Searle. 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 Thomas Searle. The network helps show where Thomas Searle may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Searle, 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 | 2020 | 152 | |
| 2 | 2013 | 44 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 18 | |
| 5 | 2003 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2002 | 12 | |
| 8 | 2003 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2002 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2002 | 1 | |
| 20 | 2020 | 1 |
About Thomas Searle
Thomas Searle is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology and Artificial Intelligence, having authored 20 papers that have together received 331 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Biomedical Text Mining and Ontologies (4 papers), Machine Learning in Healthcare (4 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers), Ovarian function and disorders (3 papers), Long-Term Effects of COVID-19 (2 papers), Heart Failure Treatment and Management (2 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Health Informatics (23 citations), Infectious Diseases (136 citations), Reproductive Medicine (38 citations), Neurology (65 citations) and Health Information Management (13 citations). Thomas Searle has collaborated with scholars based in United Kingdom, Norway and Italy. Frequent co-authors include Richard Dobson, James Teo, Željko Kraljević, Rebecca Bendayan, Daniel Bean, Kevin O’Gallagher, Ajay M. Shah, Anthony Shek, Rosita Zakeri and Lakmal Seneviratne. Their work appears in journals such as European Journal of Heart Failure, Acta Obstetricia Et Gynecologica Scandinavica, World Neurosurgery, BMJ Open and BJOG An International Journal of Obstetrics & Gynaecology.
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.