Steven Lister

449 total citations
24 papers, 319 citations indexed

About

Steven Lister is a scholar working on Cardiology and Cardiovascular Medicine, Economics and Econometrics and Internal Medicine. According to data from OpenAlex, Steven Lister has authored 24 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 7 papers in Economics and Econometrics and 5 papers in Internal Medicine. Recurrent topics in Steven Lister's work include Atrial Fibrillation Management and Outcomes (15 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Steven Lister is often cited by papers focused on Atrial Fibrillation Management and Outcomes (15 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Steven Lister collaborates with scholars based in United Kingdom, France and Sweden. Steven Lister's co-authors include Phil McEwan, Nathan R. Hill, Jason Gordon, Usman Farooqui, Alexander T. Cohen, Daniel Sugrue, David A. Clifton, Daniel Ayoubkhani, Mark O’Neill and Belinda Sandler and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Heart Journal.

In The Last Decade

Steven Lister

21 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Lister United Kingdom 10 151 66 54 36 35 24 319
Yihong Deng United States 10 149 1.0× 165 2.5× 21 0.4× 27 0.8× 43 1.2× 24 410
Adam N. Berman United States 12 283 1.9× 51 0.8× 33 0.6× 9 0.3× 29 0.8× 46 454
Aristi Boulmpou Greece 10 132 0.9× 76 1.2× 10 0.2× 15 0.4× 14 0.4× 49 251
Jimyung Park South Korea 5 74 0.5× 15 0.2× 19 0.4× 11 0.3× 15 0.4× 13 175
Christopher W. Good United States 8 338 2.2× 22 0.3× 10 0.2× 29 0.8× 48 1.4× 17 462
John W. Ostrominski United States 11 230 1.5× 185 2.8× 15 0.3× 11 0.3× 92 2.6× 58 524
Christian Torp-Petersen Denmark 9 359 2.4× 18 0.3× 10 0.2× 25 0.7× 28 0.8× 11 511
Т. Yu. Kuznetsova Russia 8 111 0.7× 31 0.5× 6 0.1× 7 0.2× 71 2.0× 58 215
Nicoletta Musacchio Italy 9 78 0.5× 185 2.8× 15 0.3× 10 0.3× 48 1.4× 22 343
Н. Э. Звартау Russia 11 219 1.5× 24 0.4× 18 0.3× 6 0.2× 80 2.3× 92 453

Countries citing papers authored by Steven Lister

Since Specialization
Citations

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

Fields of papers citing papers by Steven Lister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Lister

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Lister. A scholar is included among the top collaborators of Steven Lister 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 Steven Lister. Steven Lister 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.
Quinn, Terry, et al.. (2024). Delay and Pay? Healthcare Costs Associated with Late Oral Anti-coagulant Prescribing in People with Atrial Fibrillation. PharmacoEconomics. 42(11). 1241–1253. 1 indexed citations
2.
Quinn, Terence J., et al.. (2024). Evaluating the effect of inequalities in oral anti-coagulant prescribing on outcomes in people with atrial fibrillation. European Heart Journal Open. 4(2). oeae016–oeae016. 2 indexed citations
3.
Lee, Kuan Ken, Dimitrios Doudesis, Rong Bing, et al.. (2023). Sex Differences in Oral Anticoagulation Therapy in Patients Hospitalized With Atrial Fibrillation: A Nationwide Cohort Study. Journal of the American Heart Association. 12(5). e027211–e027211. 17 indexed citations
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Szymański, Tomasz, et al.. (2022). Budget impact analysis of a machine learning algorithm to predict high risk of atrial fibrillation among primary care patients. EP Europace. 24(8). 1240–1247. 20 indexed citations
7.
Hill, Nathan R., Chris Arden, A. John Camm, et al.. (2020). Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial. Contemporary Clinical Trials. 99. 106191–106191. 16 indexed citations
8.
Cohen, Alexander T., Samantha Berger, Dušan Milenković, Nathan R. Hill, & Steven Lister. (2019). Anticoagulant selection for patients with VTE—Evidence from a systematic literature review of network meta-analyses. Pharmacological Research. 143. 166–177. 15 indexed citations
9.
Harris, Daniel, Daniel Thayer, Ting Wang, et al.. (2019). An observational study of international normalized ratio control according to NICE criteria in patients with non-valvular atrial fibrillation: the SAIL Warfarin Out of Range Descriptors Study (SWORDS). European Heart Journal - Cardiovascular Pharmacotherapy. 7(1). 40–49. 2 indexed citations
10.
Hill, Nathan R., Daniel Ayoubkhani, Phil McEwan, et al.. (2019). Predicting atrial fibrillation in primary care using machine learning. PLoS ONE. 14(11). e0224582–e0224582. 90 indexed citations
11.
Hill, Nathan R., Belinda Sandler, Steven Lister, et al.. (2019). Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: evaluation of a machine learning risk prediction algorithm. Journal of Medical Economics. 23(4). 386–393. 29 indexed citations
12.
Ayoubkhani, Daniel, Matthew Lumley, Steven Lister, et al.. (2018). Machine Learning to Detect and Diagnose Atrial Fibrillation and Atrial Flutter (AF/F) Using Routine Clinical Data. Value in Health. 21. S213–S213. 1 indexed citations
13.
Kelly, Julie, et al.. (2013). The Cost-Effectiveness of Apixaban Compared to Warfarin, Aspirin, Rivaroxaban and Dabigatran in Ireland. Value in Health. 16(7). A529–A529.
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Lister, Steven, et al.. (2012). A cost-utility study of the use of pregabalin added to usual care in refractory neuropathic pain patients in a Swedish setting. Journal of Medical Economics. 15(6). 1097–1109. 8 indexed citations
17.
Gordon, Jason, et al.. (2011). A cost-utility study of the use of pregabalin in treatment-refractory neuropathic pain. Journal of Medical Economics. 15(2). 207–218. 19 indexed citations
18.
Lister, Steven, et al.. (2009). PND27 A DISCRETE EVENT SIMULATION OF PREGABALIN COMPARED TO USUAL CARE IN REFRACTORY NEUROPATHIC PAIN. Value in Health. 12(7). A370–A370.
19.
Koncz, Tamás, Steven Lister, & Geoffrey Makinson. (2008). Gastroprotection in patients prescribed non-selective NSAIDs, and the risk of related hospitalization. Current Medical Research and Opinion. 24(12). 3405–3412. 5 indexed citations
20.
Luffman, George A., Stephen F. Witt, & Steven Lister. (1982). A quantitative approach to stakeholder interests. Managerial and Decision Economics. 3(2). 70–78. 6 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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2026