Tom Marshall

12.8k total citations · 3 hit papers
250 papers, 7.3k citations indexed

About

Tom Marshall is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Tom Marshall has authored 250 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Epidemiology, 50 papers in Cardiology and Cardiovascular Medicine and 43 papers in General Health Professions. Recurrent topics in Tom Marshall's work include Health Systems, Economic Evaluations, Quality of Life (33 papers), Chronic Disease Management Strategies (27 papers) and Blood Pressure and Hypertension Studies (16 papers). Tom Marshall is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (33 papers), Chronic Disease Management Strategies (27 papers) and Blood Pressure and Hypertension Studies (16 papers). Tom Marshall collaborates with scholars based in United Kingdom, United States and Iran. Tom Marshall's co-authors include Ronan Ryan, Mohammed A. Mohammed, Krishnarajah Nirantharakumar, Linda Nichols, Kar Keung Cheng, G. Neil Thomas, Andrew Clegg, John Young, John Parry and Elizabeth Teale and has published in prestigious journals such as The Lancet, Blood and PLoS ONE.

In The Last Decade

Tom Marshall

240 papers receiving 7.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Development and validation of an electronic frailty index using routine primary care electronic health record data

2016 876 citations Ronan Ryan, Tom Marshall et al. profile →
Trends in survival after a diagnosis of heart failure in the United Kingdom 2000-2017: population based cohort study

2019 320 citations Tom Marshall, Richard Hobbs et al. profile →
Association between the reproductive health of young women and cardiovascular disease in later life: umbrella review

2020 268 citations Joht Singh Chandan, Tom Marshall et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Marshall United Kingdom	42	1.6k	1.1k	1.1k	1.1k	1.0k	250	7.3k
Robert Horne United Kingdom	46	1.6k 1.0×	1.3k 1.2×	2.3k 2.0×	1.1k 1.0×	1.2k 1.1×	154	13.0k
Yoon K. Loke United Kingdom	58	2.2k 1.4×	1.2k 1.0×	868 0.8×	1.4k 1.3×	1.2k 1.2×	248	12.9k
Danny Liew Australia	52	2.1k 1.3×	1.7k 1.5×	1.2k 1.1×	1.6k 1.4×	904 0.9×	520	12.4k
Eugene Ž. Oddone United States	53	2.5k 1.6×	1.1k 0.9×	2.5k 2.3×	1.9k 1.7×	1.3k 1.2×	212	9.1k
Thomas Agoritsas Switzerland	44	1.3k 0.8×	972 0.9×	1.6k 1.4×	1.4k 1.2×	1.3k 1.3×	166	9.3k
Dyfrig Hughes United Kingdom	47	928 0.6×	2.4k 2.1×	1.2k 1.1×	797 0.7×	873 0.8×	260	9.0k
Wanzhu Tu United States	50	1.3k 0.8×	743 0.7×	2.6k 2.4×	1.8k 1.7×	1.4k 1.4×	290	10.2k
Arthur J. Hartz United States	42	1.1k 0.7×	1.1k 1.0×	1.4k 1.3×	747 0.7×	1.5k 1.4×	131	8.0k
Shelby D. Reed United States	42	1.4k 0.9×	1.3k 1.1×	885 0.8×	1.1k 1.0×	462 0.4×	216	7.6k
Gbenga Ogedegbe United States	45	2.6k 1.6×	635 0.6×	2.3k 2.1×	977 0.9×	1.7k 1.6×	145	11.1k

Countries citing papers authored by Tom Marshall

Since Specialization

Citations

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

Fields of papers citing papers by Tom Marshall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Marshall

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cooper, Jennifer, Shamil Haroon, Francesca L. Crowe, et al.. (2025). Perspectives of Health Care Professionals on the Use of AI to Support Clinical Decision-Making in the Management of Multiple Long-Term Conditions: Interview Study. Journal of Medical Internet Research. 27. e71980–e71980. 2 indexed citations

Bello, Segun, et al.. (2025). Effects of antibiotic prescribing for respiratory tract infection on future consultations in primary care: a systematic review and meta-analysis. BMJ Open. 15(7). e099357–e099357.

Cooper, Jennifer N., Krishnarajah Nirantharakumar, Thomas Jackson, et al.. (2025). Perceptions of an AI-based clinical decision support tool for prescribing in multiple long-term conditions: a qualitative study of general practice clinicians in England. BMJ Open. 15(11). e102833–e102833.

Marshall, Tom, et al.. (2024). Long-term trends in English general practice consultation rates from 1995 to 2021: a retrospective analysis of two electronic health records databases. BMJ Open. 14(12). e088845–e088845. 2 indexed citations

Parretti, Helen M., Emma Pearce, Malcolm J Price, et al.. (2022). Temporal trends in associations between severe mental illness and risk of cardiovascular disease: A systematic review and meta-analysis. PLoS Medicine. 19(4). e1003960–e1003960. 61 indexed citations

Phillips, Katherine W., Anuradhaa Subramanian, G. Neil Thomas, et al.. (2021). Trends in the pharmacological management of atrial fibrillation in UK general practice 2008–2018. Heart. 108(7). 517–522. 7 indexed citations

Marshall, Tom. (2020). Coleridge’s Epoché : Phenomenology and the Suspension of Disbelief. 27(1). 23–40.

Duarte, Rui, Angela Stainthorpe, J Greenhalgh, et al.. (2019). The clinical and cost effectiveness of lead-I electrocardiogram (ECG) devices for detecting atrial fibrillation using single-time point testing in primary care: a systematic review and economic evaluation. Health Technology Assessment. 1 indexed citations

Taylor, Caroline J., Richard Hobbs, Tom Marshall, Francisco Leyva‐Leon, & Nichola Gale. (2017). From breathless to failure: symptom onset and diagnostic meaning in patients with heart failure—a qualitative study. Journal of Neurology Neurosurgery & Psychiatry. 7(3). 7 indexed citations

10.

Aiyegbusi, Olalekan Lee, Derek Kyte, Paul Cockwell, et al.. (2016). Measurement properties of patient-reported outcome measures (PROMs) used in adult patients with chronic kidney disease: a systematic review protocol. BMJ Open. 6(10). e012014–e012014. 9 indexed citations

11.

Calvert, Melanie, et al.. (2015). A retrospective cohort study to investigate fatigue, psychological or cognitive impairment after TIA: protocol paper. BMJ Open. 5(4). e008149–e008149. 13 indexed citations

12.

Calvert, Melanie, et al.. (2014). Retrospective case review of missed opportunities for primary prevention of stroke and TIA in primary care: protocol paper. BMJ Open. 4(11). e006622–e006622. 5 indexed citations

13.

Nirantharakumar, Krishnarajah, Yen‐Fu Chen, Tom Marshall, J. Webber, & Jamie J. Coleman. (2011). Clinical decision support systems in the care of inpatients with diabetes in non‐critical care setting: systematic review. Diabetic Medicine. 29(6). 698–708. 40 indexed citations

14.

Sarrafzadegan, Nizal, Mohammad Talaei, Masoumeh Sadeghi, et al.. (2010). The Isfahan cohort study: Rationale, methods and main findings. Journal of Human Hypertension. 25(9). 545–553. 127 indexed citations

15.

Fottrell, Edward, Lydie Kanhonou, Sourou Goufodji, et al.. (2009). Risk of psychological distress following severe obstetric complications in Benin: the role of economics, physical health and spousal abuse. The British Journal of Psychiatry. 196(1). 18–25. 41 indexed citations

16.

Marshall, Tom. (2005). Informed consent for mammography screening: modelling the risks and benefits for American women. Health Expectations. 8(4). 295–305. 7 indexed citations

17.

Marshall, Tom & B. L. McIntyre. (1989). A Preliminary Evaluation of the Eating Quality of Meat Derived from Red Kangaroos. Australian Zoologist. 25(3). 88–90. 2 indexed citations

18.

McKeown, T., Tom Marshall, & R. G. Record. (1976). Influences on fetal growth. Reproduction. 47(1). 167–181. 31 indexed citations

19.

Marshall, Tom, et al.. (1974). The effects of pasture type and lupin grain supplementation on ovulation rate of Merino ewes. 1. Rate of lupin grain supplementation. Journal of the Department of Agriculture for Western Australia. 15(1). 29–31. 9 indexed citations

20.

Marshall, Tom, et al.. (1973). Haemoglobin type of ewes not related to clover disease. Journal of the Department of Agriculture for Western Australia. 14(3). 225–226. 1 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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