Thomas Beaney

9.4k total citations
221 papers, 1.4k citations indexed

About

Thomas Beaney is a scholar working on Cardiology and Cardiovascular Medicine, Nutrition and Dietetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Thomas Beaney has authored 221 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Cardiology and Cardiovascular Medicine, 106 papers in Nutrition and Dietetics and 33 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Thomas Beaney's work include Blood Pressure and Hypertension Studies (167 papers), Sodium Intake and Health (106 papers) and Heart Rate Variability and Autonomic Control (75 papers). Thomas Beaney is often cited by papers focused on Blood Pressure and Hypertension Studies (167 papers), Sodium Intake and Health (106 papers) and Heart Rate Variability and Autonomic Control (75 papers). Thomas Beaney collaborates with scholars based in United Kingdom, Australia and United States. Thomas Beaney's co-authors include Jonathan Clarke, Azeem Majeed, David Salman, Neil R Poulter, Vageesh Jain, Gemma Lyons, Paul Aylin, Ana Luísa Neves, Xin Xia and Alison H. McGregor and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Thomas Beaney

184 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Beaney United Kingdom 16 519 236 228 182 177 221 1.4k
Zanfina Ademi Australia 25 558 1.1× 155 0.7× 395 1.7× 73 0.4× 295 1.7× 201 3.1k
Luigi Palmieri Italy 24 726 1.4× 90 0.4× 182 0.8× 215 1.2× 536 3.0× 157 2.0k
Omar Yaxmehen Bello‐Chavolla Mexico 22 263 0.5× 206 0.9× 130 0.6× 50 0.3× 129 0.7× 71 1.8k
Nicholas Jones United Kingdom 24 1.0k 1.9× 173 0.7× 168 0.7× 25 0.1× 198 1.1× 74 2.4k
Janet S. Wright United States 22 1.3k 2.5× 231 1.0× 334 1.5× 65 0.4× 286 1.6× 44 2.1k
Dimple Kondal India 25 452 0.9× 52 0.2× 213 0.9× 173 1.0× 353 2.0× 119 2.0k
Laëtitia Huiart France 25 427 0.8× 214 0.9× 258 1.1× 25 0.1× 162 0.9× 75 2.4k
Vicente Bertomeu‐González Spain 27 1.9k 3.7× 200 0.8× 132 0.6× 72 0.4× 82 0.5× 186 3.0k
María Grau Spain 37 1.8k 3.6× 158 0.7× 427 1.9× 213 1.2× 651 3.7× 141 4.3k
Alberto Cordero Spain 26 1.6k 3.1× 144 0.6× 268 1.2× 71 0.4× 218 1.2× 243 3.3k

Countries citing papers authored by Thomas Beaney

Since Specialization
Citations

This map shows the geographic impact of Thomas Beaney'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 Beaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Beaney more than expected).

Fields of papers citing papers by Thomas Beaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Beaney. 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 Beaney. The network helps show where Thomas Beaney may publish in the future.

Co-authorship network of co-authors of Thomas Beaney

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Beaney. A scholar is included among the top collaborators of Thomas Beaney 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 Beaney. Thomas Beaney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Beaney, Thomas, et al.. (2025). Clustering in multiple long-term conditions: methodological and translational challenges and solutions. Journal of the Royal Society of Medicine. 119(1). 5–9.
2.
Beaney, Thomas, Carinna Hockham, Paul Elliott, et al.. (2025). Identifying clusters of people with Multiple Long-Term Conditions using Large Language Models: a population-based study. npj Digital Medicine. 8(1). 453–453.
3.
Greenfield, Geva, Edmond Li, Thomas Beaney, et al.. (2025). Factors Associated With the Availability of Virtual Consultations in Primary Care Across 20 Countries: Cross-Sectional Study. Journal of Medical Internet Research. 27. e65147–e65147. 1 indexed citations
4.
Qirjako, Gentiana, et al.. (2024). May Measurement Month 2021: an analysis of blood pressure screening results from Albania. European Heart Journal Supplements. 26(Supplement_3). iii5–iii7.
5.
Beaney, Thomas, John R. Cockcroft, Christopher J. A. Pugh, et al.. (2024). May Measurement Month 2021: an analysis of blood pressure screening results from the UK and Republic of Ireland. European Heart Journal Supplements. 26(Supplement_3). iii96–iii98.
6.
Beaney, Thomas, et al.. (2024). May Measurement Month 2021: an analysis of blood pressure screening results from Republic of the Congo, in the context of COVID-19 pandemic. European Heart Journal Supplements. 26(Supplement_3). iii83–iii85.
7.
Alcocer, Luis, et al.. (2024). May Measurement Month 2021: an analysis of blood pressure screening results from Mexico. European Heart Journal Supplements. 26(Supplement_3). iii58–iii60. 1 indexed citations
8.
Beaney, Thomas, Jonathan Clarke, Thomas Woodcock, et al.. (2024). Effect of timeframes to define long term conditions and sociodemographic factors on prevalence of multimorbidity using disease code frequency in primary care electronic health records: retrospective study. SHILAP Revista de lepidopterología. 3(1). e000474–e000474. 5 indexed citations
9.
Postadzhiyan, Arman, Yoto V. Yotov, Fedya Nikolov, et al.. (2024). May Measurement Month 2021: an analysis of blood pressure screening results from Bulgaria. European Heart Journal Supplements. 26(Supplement_3). iii20–iii22.
10.
Nolde, Janis M., Thomas Beaney, Revathy Carnagarin, et al.. (2024). Age-Related Blood Pressure Gradients Are Associated With Blood Pressure Control and Global Population Outcomes. Hypertension. 81(10). 2091–2100. 3 indexed citations
11.
Paniagua, María, et al.. (2024). May Measurement Month 2021: an analysis of blood pressure screening results from Paraguay. European Heart Journal Supplements. 26(Supplement_3). iii71–iii74.
12.
Barochiner, Jessica, et al.. (2024). May Measurement Month 2021: an analysis of blood pressure screening results from Argentina. European Heart Journal Supplements. 26(Supplement_3). iii8–iii10.
13.
Beaney, Thomas, Gaia Kiru, Markus P. Schlaich, et al.. (2024). May Measurement Month 2022: results from the global blood pressure screening campaign. BMJ Global Health. 9(12). e016557–e016557. 6 indexed citations
14.
Poulter, Neil R, Markus P. Schlaich, Aletta E. Schutte, et al.. (2024). May Measurement Month 2021: results of 31 national blood pressure screening programmes. European Heart Journal Supplements. 26(Supplement_3). iii1–iii4.
15.
Zhang, Wanzhu, Pauline Byakika‐Kibwika, Prossie Merab Ingabire, et al.. (2024). May Measurement Month 2021: an analysis of blood pressure screening results from Uganda. European Heart Journal Supplements. 26(Supplement_3). iii93–iii95.
16.
17.
Li, Edmond, Benedict Hayhoe, Thomas Beaney, et al.. (2023). Validating a framework to guide the implementation of high-quality virtual primary care: an international eDelphi study protocol. BMJ Open. 13(12). e080565–e080565.
18.
19.
Jain, Vageesh, Jonathan Clarke, & Thomas Beaney. (2022). Association between democratic governance and excess mortality during the COVID-19 pandemic: an observational study. Journal of Epidemiology & Community Health. 76(10). 853–860. 17 indexed citations
20.
Patil, Mansi, Arun Pulikkottil Jose, Arun More, et al.. (2021). May Measurement Month 2019: an analysis of blood pressure screening results from India. European Heart Journal Supplements. 23(Supplement_B). B73–B76. 3 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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