Christopher Tuck

2.4k total citations
18 papers, 330 citations indexed

About

Christopher Tuck is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christopher Tuck has authored 18 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christopher Tuck's work include Acute Myocardial Infarction Research (8 papers), Cardiac Imaging and Diagnostics (6 papers) and Coronary Interventions and Diagnostics (5 papers). Christopher Tuck is often cited by papers focused on Acute Myocardial Infarction Research (8 papers), Cardiac Imaging and Diagnostics (6 papers) and Coronary Interventions and Diagnostics (5 papers). Christopher Tuck collaborates with scholars based in United Kingdom, New Zealand and United States. Christopher Tuck's co-authors include David E. Newby, Sanjay Prasad, Scott Semple, Russell J. Everett, Marc R. Dweck, Steff Lewis, Éric Larose, Jacek Kwieciński, Romain Capoulade and Edwin J.R. van Beek and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Christopher Tuck

16 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Tuck United Kingdom 9 217 127 119 71 18 18 330
Aeshita Dwivedi United States 8 116 0.5× 81 0.6× 70 0.6× 33 0.5× 10 0.6× 15 225
John Zimmerman United States 7 556 2.6× 44 0.3× 45 0.4× 55 0.8× 5 0.3× 12 662
Maryam Alsharqi United Kingdom 7 141 0.6× 110 0.9× 28 0.2× 28 0.4× 3 0.2× 15 240
Vittoria Vergani United Kingdom 9 96 0.4× 66 0.5× 43 0.4× 17 0.2× 5 0.3× 20 178
Tom Hendriks Netherlands 12 141 0.6× 48 0.4× 56 0.5× 81 1.1× 3 0.2× 24 300
Joshua Bradley United Kingdom 9 176 0.8× 64 0.5× 24 0.2× 22 0.3× 17 0.9× 20 258
Klaus‐Peter Mellwig Germany 9 204 0.9× 52 0.4× 90 0.8× 15 0.2× 7 0.4× 26 297
Evann Eisenberg United States 11 328 1.5× 276 2.2× 131 1.1× 43 0.6× 3 0.2× 16 493
Miguel Guerra Portugal 11 141 0.6× 37 0.3× 72 0.6× 35 0.5× 12 0.7× 55 287
Andrew M. Tonkin Australia 10 341 1.6× 42 0.3× 99 0.8× 26 0.4× 7 0.4× 19 409

Countries citing papers authored by Christopher Tuck

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Tuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Tuck

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

All Works

18 of 18 papers shown
1.
Li, Ziwen, Dimitrios Doudesis, Ryan Wereski, et al.. (2025). Safety of Using Risk Stratification Along With High-Sensitivity Cardiac Troponin in the Emergency Department. Journal of the American College of Cardiology. 86(19). 1738–1748.
2.
Williams, Michelle C., Ryan Wereski, Christopher Tuck, et al.. (2025). Coronary CT angiography-guided management of patients with stable chest pain: 10-year outcomes from the SCOT-HEART randomised controlled trial in Scotland. The Lancet. 405(10475). 329–337. 10 indexed citations
3.
Lowry, Matthew T.H., Dorien M. Kimenai, Anda Bularga, et al.. (2024). The electronic frailty index and outcomes in patients with myocardial infarction. Age and Ageing. 53(7). 2 indexed citations
4.
Li, Ziwen, Ryan Wereski, Atul Anand, et al.. (2024). UNIFORM AND SEX-SPECIFIC CARDIAC TROPONIN THRESHOLDS TO RULE OUT MYOCARDIAL INFARCTION AT PRESENTATION. Journal of the American College of Cardiology. 83(13). 1290–1290. 1 indexed citations
5.
Lee, Kuan Ken, David J. Lowe, Rachel O’Brien, et al.. (2023). Troponin in acute chest pain to risk stratify and guide effective use of computed tomography coronary angiography (TARGET-CTCA): a randomised controlled trial. Trials. 24(1). 402–402. 3 indexed citations
6.
Wereski, Ryan, Philip D Adamson, Caelan Taggart, et al.. (2023). High-Sensitivity Cardiac Troponin for Risk Assessment in Patients With Chronic Coronary Artery Disease. Journal of the American College of Cardiology. 82(6). 473–485. 8 indexed citations
7.
Davis, Ann M., Christie A. Befort, Christopher Tuck, et al.. (2023). Rationale and design of integrating a parents first obesity intervention with a pediatric weight management intervention for rural families – Evaluating the ripple effect. Contemporary Clinical Trials. 128. 107140–107140.
9.
Lowry, Matthew T.H., Dimitrios Doudesis, Ryan Wereski, et al.. (2022). Influence of Age on the Diagnosis of Myocardial Infarction. Circulation. 146(15). 1135–1148. 20 indexed citations
10.
Rodríguez, Aryelly, Christopher Tuck, Marshall Dozier, et al.. (2022). Current recommendations/practices for anonymising data from clinical trials in order to make it available for sharing: A scoping review. Clinical Trials. 19(4). 452–463. 12 indexed citations
11.
Doudesis, Dimitrios, Anda Bularga, Amy V. Ferry, et al.. (2022). Machine learning to optimise use of cardiac troponin in the diagnosis of acute myocardial infarction. European Heart Journal. 43(Supplement_2). 1 indexed citations
13.
Hamilton, David, David Beard, Karen Barker, et al.. (2020). Targeting rehabilitation to improve outcomes after total knee arthroplasty in patients at risk of poor outcomes: randomised controlled trial. BMJ. 371. m3576–m3576. 46 indexed citations
15.
Keerie, Catriona, Christopher Tuck, Garry Milne, et al.. (2018). Data sharing in clinical trials – practical guidance on anonymising trial datasets. Trials. 19(1). 25–25. 24 indexed citations
16.
Everett, Russell J., Lionel Tastet, Marie‐Annick Clavel, et al.. (2018). Progression of Hypertrophy and Myocardial Fibrosis in Aortic Stenosis. Circulation Cardiovascular Imaging. 11(6). e007451–e007451. 117 indexed citations
17.
Tuck, Christopher, Steff Lewis, Garry Milne, Sandra Eldridge, & Neil Wright. (2015). Data sharing in clinical trials - practical guidance on anonymising trial datasets. Trials. 16(S2). 1 indexed citations
18.
Simpson, Hamish, David Hamilton, David Beard, et al.. (2014). Targeted rehabilitation to improve outcome after total knee replacement (TRIO): study protocol for a randomised controlled trial. Trials. 15(1). 44–44. 10 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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