Thomas Bolton

850 total citations
11 papers, 157 citations indexed

About

Thomas Bolton is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Thomas Bolton has authored 11 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Epidemiology and 2 papers in Artificial Intelligence. Recurrent topics in Thomas Bolton's work include Machine Learning in Healthcare (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Ethics in Clinical Research (1 paper). Thomas Bolton is often cited by papers focused on Machine Learning in Healthcare (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Ethics in Clinical Research (1 paper). Thomas Bolton collaborates with scholars based in United Kingdom, Italy and Canada. Thomas Bolton's co-authors include Emanuele Di Angelantonio, Praveen Surendran, Lisa Pennells, John Danesh, Scott C. Ritchie, Samuel A. Lambert, Adam S. Butterworth, Savita Karthikeyan, Michael Inouye and Ashley Akbari and has published in prestigious journals such as PLoS Medicine, International Journal of Epidemiology and Thorax.

In The Last Decade

Thomas Bolton

7 papers receiving 155 citations

Peers

Thomas Bolton
Michael J. Ang United States
Chau Ho Australia
V Ng Hong Kong
Esther Mok Singapore
Ella Schofield United Kingdom
Michael J. Ang United States
Thomas Bolton
Citations per year, relative to Thomas Bolton Thomas Bolton (= 1×) peers Michael J. Ang

Countries citing papers authored by Thomas Bolton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
1.
Allara, Elias, Wenzhong Shi, Thomas Bolton, et al.. (2025). Burden of cardiovascular diseases in England (2020–24): a national cohort using electronic health records data. The Lancet Public Health. 10(11). e943–e954.
3.
Williams, Richard, David Jenkins, Thomas Bolton, et al.. (2025). Replicating a COVID-19 study in a national England database to assess the generalisability of research with regional electronic health record data. BMJ Open. 15(4). e093080–e093080.
4.
Whittaker, Hannah, Constantinos Kallis, Thomas Bolton, et al.. (2024). Risk of cardiovascular events following COVID-19 in people with and without pre-existing chronic respiratory disease. International Journal of Epidemiology. 53(3).
5.
Pineda‐Moncusí, Marta, Antonella Delmestri, Thomas Bolton, et al.. (2024). Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity. Scientific Data. 11(1). 221–221. 9 indexed citations
6.
Singh, Anvesha, Saadia Aslam, Thomas Bolton, et al.. (2024). Surgical and transcatheter aortic valve interventions for aortic stenosis in England: sociodemographic variations in treatment trends and outcome over 20 years. Heart. 111(6). 278–285. 1 indexed citations
7.
Raffetti, Elena, Thomas Bolton, Luisa Zuccolo, et al.. (2024). COVID-19 diagnosis, vaccination during pregnancy, and adverse pregnancy outcomes of 865,654 women in England and Wales: a population-based cohort study. The Lancet Regional Health - Europe. 45. 101037–101037. 5 indexed citations
8.
Abbasizanjani, Hoda, Fatemeh Torabi, Stuart Bedston, et al.. (2023). Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. BMC Medical Informatics and Decision Making. 23(1). 8–8. 12 indexed citations
9.
Ritchie, Scott C., Praveen Surendran, Savita Karthikeyan, et al.. (2023). Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants. Scientific Data. 10(1). 64–64. 76 indexed citations
10.
Kim, Lois G., Thomas Bolton, Michael Sweeting, et al.. (2023). Impact of a post‐donation hemoglobin testing strategy on efficiency and safety of whole blood donation in England: A modeling study. Transfusion. 63(3). 541–551. 3 indexed citations
11.
Whiteley, William, Samantha Ip, Jennifer Cooper, et al.. (2022). Association of COVID-19 vaccines ChAdOx1 and BNT162b2 with major venous, arterial, or thrombocytopenic events: A population-based cohort study of 46 million adults in England. PLoS Medicine. 19(2). e1003926–e1003926. 51 indexed citations

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.

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