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
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- Reproductive Biology and Fertility 2
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- Ovarian function and disorders 3
- Co-authors
- Richard Dobson (13 shared papers)James Teo (8 shared papers)Daniel Bean (6 shared papers)Kevin O’Gallagher (4 shared papers)Željko Kraljević (6 shared papers)Ajay M. Shah (5 shared papers)Rebecca Bendayan (6 shared papers)Anthony Shek (5 shared papers)
- Journals
- Acta Obstetricia Et Gynecologica Scandinavica (2 papers)European Journal of Heart Failure (2 papers)Journal of the American Medical Informatics Association (1 paper)Journal of Biomedical Informatics (1 paper)European Psychiatry (1 paper)
- Partner nations
- United KingdomNorwayItaly
In The Last Decade
Thomas Searle
19 papers receiving 345 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 24
- Infectious Diseases 126
- Reproductive Medicine 37
- Health Information Management 13
- Neurology 38
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 | 35 | |
| 4 | 2023 | 22 | |
| 5 | 2003 | 15 | |
| 6 | 2022 | 15 | |
| 7 | 2002 | 12 | |
| 8 | 2003 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2002 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2002 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 1 |
About Thomas Searle
Thomas Searle is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Infectious Diseases, Molecular Biology and Artificial Intelligence, having authored 20 papers that have together received 349 indexed citations. Recurring topics across this work include Ovarian function and disorders (3 papers), Machine Learning in Healthcare (3 papers), COVID-19 Clinical Research Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (2 papers), Heart Failure Treatment and Management (2 papers), Reproductive Biology and Fertility (2 papers) and Assisted Reproductive Technology and Twin Pregnancy (2 papers). The work is most often cited by research in Health Informatics (24 citations), Infectious Diseases (126 citations), Reproductive Medicine (37 citations), Health Information Management (13 citations) and Neurology (38 citations). Thomas Searle has collaborated with scholars based in United Kingdom, Norway and Italy. Frequent co-authors include Richard Dobson, James Teo, Daniel Bean, Kevin O’Gallagher, Željko Kraljević, Ajay M. Shah, Rebecca Bendayan, Anthony Shek, Amos Folarin and Andrew Pickles. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, European Journal of Heart Failure, Journal of the American Medical Informatics Association, Journal of Biomedical Informatics and European Psychiatry.
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.