Thomas Searle
- Infectious Diseases top 10%
- Neurology
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Reproductive Medicine
- Co-authors
- Richard DobsonJames TeoDaniel BeanAjay M. ShahŽeljko KraljevićRebecca BendayanKevin O’GallagherAnthony Shek
- Topics
- Machine Learning in Healthcare (4 papers)Biomedical Text Mining and Ontologies (4 papers)COVID-19 Clinical Research Studies (4 papers)
- Journals
- PLoS ONEBJOG An International Journal of Obstetrics & GynaecologyJournal of the American Medical Informatics Association
- Partner nations
- United KingdomNorwayItaly
In The Last Decade
Thomas Searle
19 papers receiving 327 citations
Peers
Comparison fields: 5 of 71
- Infectious Diseases 136
- Neurology 65
- Cardiology and Cardiovascular Medicine 53
- Biomedical Engineering 45
- Reproductive Medicine 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-authorship network of co-authors of Thomas Searle
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Searle. A scholar is included among the top collaborators of Thomas Searle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Searle. Thomas Searle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 27 | |
| 9 | 14 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 152 | |
| 14 | 1 | |
| 15 | 44 | |
| 16 | 15 | |
| 17 | 10 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 1 |
About Thomas Searle
Thomas Searle is a scholar working on Health Informatics, Reproductive Medicine and Family Practice, having authored 20 papers that have together received 331 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Biomedical Text Mining and Ontologies (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Health Informatics (23 citations), Infectious Diseases (136 citations) and Reproductive Medicine (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, Ajay M. Shah, Željko Kraljević, Rebecca Bendayan, Kevin O’Gallagher, Anthony Shek, Andrew Pickles and Rosita Zakeri. Their work appears in journals such as PLoS ONE, BJOG An International Journal of Obstetrics & Gynaecology and Journal of the American Medical Informatics Association.
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.