Mitchell Lindsay

6.4k total citations · 1 hit paper
45 papers, 1.8k citations indexed

About

Mitchell Lindsay is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Mitchell Lindsay has authored 45 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 35 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Surgery. Recurrent topics in Mitchell Lindsay's work include Cardiac Imaging and Diagnostics (35 papers), Acute Myocardial Infarction Research (21 papers) and Coronary Interventions and Diagnostics (16 papers). Mitchell Lindsay is often cited by papers focused on Cardiac Imaging and Diagnostics (35 papers), Acute Myocardial Infarction Research (21 papers) and Coronary Interventions and Diagnostics (16 papers). Mitchell Lindsay collaborates with scholars based in United Kingdom, Australia and United States. Mitchell Lindsay's co-authors include Francis G. Dunn, Colin Berry, Keith G. Oldroyd, Margaret McEntegart, Mark C. Petrie, Hany Eteiba, Stuart Watkins, Stuart Hood, David Carrick and Andrew Davie and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Mitchell Lindsay

44 papers receiving 1.8k 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.

Prevalence of Coronary Artery Disease and Coronary Microvascular Dysfunction in Patients With Heart Failure With Preserved Ejection Fraction

2021 155 citations Christopher Rush, Colin Berry et al. JAMA Cardiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchell Lindsay United Kingdom	20	1.4k	1.0k	654	114	110	45	1.8k
Bart J.G.L. de Smet Netherlands	18	1.3k 1.0×	656 0.6×	1.1k 1.7×	251 2.2×	120 1.1×	39	1.9k
Giancarla Scalone Italy	17	1.2k 0.8×	696 0.7×	886 1.4×	197 1.7×	74 0.7×	68	1.6k
Mien‐Cheng Chen Taiwan	25	1.7k 1.3×	392 0.4×	782 1.2×	274 2.4×	241 2.2×	134	2.3k
Hamed Emami United States	19	561 0.4×	614 0.6×	495 0.8×	241 2.1×	157 1.4×	35	1.5k
Takahiko Kawarabayashi Japan	17	819 0.6×	486 0.5×	663 1.0×	127 1.1×	128 1.2×	40	1.3k
Matthijs F.L. Meijs Netherlands	14	1.1k 0.8×	1.1k 1.0×	850 1.3×	96 0.8×	133 1.2×	32	1.9k
Mario Kašner Germany	18	2.0k 1.5×	493 0.5×	354 0.5×	192 1.7×	193 1.8×	42	2.3k
Nagahiro Nishikawa Japan	17	972 0.7×	429 0.4×	367 0.6×	73 0.6×	183 1.7×	35	1.4k
Courtney Foster United States	18	1.6k 1.2×	2.2k 2.1×	921 1.4×	138 1.2×	177 1.6×	30	2.9k
A. Ellims Australia	21	1.4k 1.0×	494 0.5×	298 0.5×	231 2.0×	289 2.6×	58	2.0k

Countries citing papers authored by Mitchell Lindsay

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell Lindsay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell Lindsay

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

All Works

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20 of 20 papers shown

Heggie, Robert, Olívia Wu, Richard Good, et al.. (2023). The coronary microvascular angina cardiovascular magnetic resonance imaging trial: Rationale and design. American Heart Journal. 265. 213–224. 2 indexed citations

Ford, Thomas J., Carly Adamson, Andrew Morrow, et al.. (2022). Coronary Artery Perforations: Glasgow Natural History Study of Covered Stent Coronary Interventions (GNOCCI) Study. Journal of the American Heart Association. 11(19). e024492–e024492. 7 indexed citations

Heggie, Robert, Andrew Briggs, Bethany Stanley, et al.. (2021). Stratified medicine using invasive coronary function testing in angina: A cost-effectiveness analysis of the British Heart Foundation CorMicA trial. International Journal of Cardiology. 337. 44–51. 15 indexed citations

Rush, Christopher, Colin Berry, Keith G. Oldroyd, et al.. (2021). Prevalence of Coronary Artery Disease and Coronary Microvascular Dysfunction in Patients With Heart Failure With Preserved Ejection Fraction. JAMA Cardiology. 6(10). 1130–1130. 155 indexed citations breakdown →

Jackson, Alice M., Ruiqi Zhang, Iain Findlay, et al.. (2019). Healthcare disparities for women hospitalized with myocardial infarction and angina. European Heart Journal - Quality of Care and Clinical Outcomes. 6(2). 156–165. 20 indexed citations

Mangion, Kenneth, David Carrick, Guillaume Clerfond, et al.. (2019). Predictors of segmental myocardial functional recovery in patients after an acute ST-Elevation myocardial infarction. European Journal of Radiology. 112. 121–129. 19 indexed citations

McEntegart, Margaret, David Corcoran, David Carrick, et al.. (2018). Incidence of procedural myocardial infarction and cardiac magnetic resonance imaging-detected myocardial injury following percutaneous coronary intervention with rotational atherectomy. EuroIntervention. 14(7). 819–823. 9 indexed citations

Carberry, Jaclyn, David Carrick, Caroline Haig, et al.. (2017). Persistent Iron Within the Infarct Core After ST-Segment Elevation Myocardial Infarction. JACC. Cardiovascular imaging. 11(9). 1248–1256. 43 indexed citations

Carrick, David, Caroline Haig, Nadeem Ahmed, et al.. (2015). PROGNOSTIC SIGNIFICANCE OF INFARCT CORE PATHOLOGY IN ST-ELEVATION MYOCARDIAL INFARCTION SURVIVORS REVEALED BY QUANTITATIVE T2-WEIGHTED CARDIAC MAGNETIC RESONANCE. Journal of the American College of Cardiology. 65(10). A170–A170. 1 indexed citations

10.

Carrick, David, Caroline Haig, Nadeem Ahmed, et al.. (2015). Pathophysiology of LV Remodeling in Survivors of STEMI. JACC. Cardiovascular imaging. 8(7). 779–789. 103 indexed citations

11.

Nam, Julian, Andrew Briggs, Jamie Layland, et al.. (2015). Fractional flow reserve versus Coronary Angiography guided management in non-st elevation myocardial infarction: a Health economic analysis. Value in Health. 18(3). A46–A46. 1 indexed citations

12.

Ahmed, Nadeem, Jamie Layland, David Carrick, et al.. (2015). Safety of guidewire-based measurement of fractional flow reserve and the index of microvascular resistance using intravenous adenosine in patients with acute or recent myocardial infarction. International Journal of Cardiology. 202. 305–310. 17 indexed citations

13.

Carrick, David, Caroline Haig, Samuli M Rauhalammi, et al.. (2015). Pathophysiology of myocardial remodeling in survivors of ST-elevation myocardial infarction revealed by native T1 mapping: inflammation, remote myocardium and prognostic significance. Journal of Cardiovascular Magnetic Resonance. 17. Q52–Q52. 1 indexed citations

14.

Haig, Caroline, Nadeem Ahmed, Hany Eteiba, et al.. (2015). 8 Myocardial haemorrhage after acute reperfused st-elevation myocardial infarction: temporal evolution, relation to microvascular obstruction and prognostic significance. Abstracts. A4.3–A5. 4 indexed citations

15.

Layland, Jamie, Samuli M Rauhalammi, Stuart Watkins, et al.. (2015). Assessment of Fractional Flow Reserve in Patients With Recent Non–ST-Segment–Elevation Myocardial Infarction. Circulation Cardiovascular Interventions. 8(8). e002207–e002207. 13 indexed citations

16.

McGeoch, Ross, Stuart Watkins, Colin Berry, et al.. (2010). The Index of Microcirculatory Resistance Measured Acutely Predicts the Extent and Severity of Myocardial Infarction in Patients With ST-Segment Elevation Myocardial Infarction. JACC: Cardiovascular Interventions. 3(7). 715–722. 145 indexed citations

17.

Lindsay, Mitchell & Francis G. Dunn. (2007). Biochemical evidence of myocardial fibrosis in veteran endurance athletes. British Journal of Sports Medicine. 41(7). 447–452. 67 indexed citations

18.

Godler, David E., et al.. (2005). Parathyroid hormone-related peptide expression in rat collagen-induced arthritis. Lara D. Veeken. 44(9). 1122–1131. 6 indexed citations

19.

Lindsay, Mitchell, et al.. (2004). Hypertensive heart disease and fibrosis. Current Opinion in Cardiology. 19(4). 326–331. 14 indexed citations

20.

Lindsay, Mitchell, et al.. (2000). Optimising Direct Access Echo Referral in Suspected Heart Failure. Scottish Medical Journal. 45(2). 43–44. 12 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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