Thomas Bolton
- Health Information Management top 1%
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Emanuele Di AngelantonioJames H.F. RuddMihaela van der SchaarAhmed M. AlaaMichael SweetingAngela WoodDavid StevensAlbert Koulman
- Topics
- Blood donation and transfusion practices (3 papers)Organ Donation and Transplantation (2 papers)Hemoglobinopathies and Related Disorders (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThrombosis Research
- Partner nations
- United KingdomChileAustralia
In The Last Decade
Thomas Bolton
7 papers receiving 454 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Health Information Management 154
- Artificial Intelligence 135
- Cardiology and Cardiovascular Medicine 125
- Epidemiology 90
- Radiology, Nuclear Medicine and Imaging 58
Countries citing papers authored by Thomas Bolton
This map shows the geographic impact of Thomas Bolton'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 Bolton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Bolton more than expected).
Fields of papers citing papers by Thomas Bolton
This network shows the impact of papers produced by Thomas Bolton. 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 Bolton. The network helps show where Thomas Bolton may publish in the future.
Co-authorship network of co-authors of Thomas Bolton
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Bolton. A scholar is included among the top collaborators of Thomas Bolton 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 Bolton. Thomas Bolton 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 | 6 | |
| 3 | 11 | |
| 4 | Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participantsbreakdown → | 362 |
| 5 | 18 | |
| 6 | 55 | |
| 7 | 13 |
About Thomas Bolton
Thomas Bolton is a scholar working on Management of Technology and Innovation, Internal Medicine and Health Information Management, having authored 7 papers that have together received 466 indexed citations. Recurring topics across this work include Blood donation and transfusion practices (3 papers), Organ Donation and Transplantation (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Health Information Management (154 citations), Health Informatics (44 citations) and Medical Laboratory Technology (12 citations). Thomas Bolton has collaborated with scholars based in United Kingdom, Chile and Australia. Frequent co-authors include Emanuele Di Angelantonio, James H.F. Rudd, Mihaela van der Schaar, Ahmed M. Alaa, Michael Sweeting, Angela Wood, David Stevens, Albert Koulman, Ellie Paige and Stephen Burgess. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Thrombosis Research.
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.