Adam J. Brown

3.9k total citations
123 papers, 2.5k citations indexed

About

Adam J. Brown is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Adam J. Brown has authored 123 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Surgery, 63 papers in Cardiology and Cardiovascular Medicine and 57 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Adam J. Brown's work include Coronary Interventions and Diagnostics (67 papers), Cardiac Imaging and Diagnostics (57 papers) and Cardiac Valve Diseases and Treatments (23 papers). Adam J. Brown is often cited by papers focused on Coronary Interventions and Diagnostics (67 papers), Cardiac Imaging and Diagnostics (57 papers) and Cardiac Valve Diseases and Treatments (23 papers). Adam J. Brown collaborates with scholars based in United Kingdom, Australia and United States. Adam J. Brown's co-authors include Martin R. Bennett, Nick E.J. West, Stephen P. Hoole, Zhongzhao Teng, Nitesh Nerlekar, Jonathan H. Gillard, James D. Cameron, Liam McCormick, Habib Samady and Charis Costopoulos and has published in prestigious journals such as Annals of Internal Medicine, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Adam J. Brown

112 papers receiving 2.5k citations

Peers

Adam J. Brown
Sandy Liu United States
Hiromasa Otake Japan
Guy Friedrich Austria
John F. LaDisa United States
George D. Giannoglou Greece
Rafael Beyar Israel
Sophie Mavrogeni Greece
Cornelis J. Slager Netherlands
Alfredo R. Galassi Italy
Yiannis S. Chatzizisis United States
Sandy Liu United States
Adam J. Brown
Citations per year, relative to Adam J. Brown Adam J. Brown (= 1×) peers Sandy Liu

Countries citing papers authored by Adam J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Adam J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam J. Brown. 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 Adam J. Brown. The network helps show where Adam J. Brown may publish in the future.

Co-authorship network of co-authors of Adam J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Adam J. Brown. A scholar is included among the top collaborators of Adam J. Brown 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 Adam J. Brown. Adam J. Brown 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.
Gu, Sophie, Yuan Huang, Martin Goddard, et al.. (2025). Artificial Intelligence-Led Whole Coronary Artery OCT Analysis; Validation and Identification of Drug Efficacy and Higher-Risk Plaques. Circulation Cardiovascular Imaging. 18(11). e018133–e018133.
2.
Kim, Jiwon, Jamie Layland, Kevin Cheng, et al.. (2023). Peri-Coronary Adipose Tissue Is a Predictor of Stent Failure in Patients Undergoing Percutaneous Coronary Intervention. Cardiovascular revascularization medicine. 53. 61–66. 1 indexed citations
3.
Lee, Joo Myung, Doosup Shin, Seung Hun Lee, et al.. (2023). Differential predictability for high-risk plaque characteristics between fractional flow reserve and instantaneous wave-free ratio. Scientific Reports. 13(1). 16005–16005. 2 indexed citations
4.
Michail, Michael, Jasmine Chan, James D. Cameron, et al.. (2021). Patients with aortic stenosis exhibit early improved endothelial function following transcatheter aortic valve replacement: The eFAST study. International Journal of Cardiology. 332. 143–147. 6 indexed citations
5.
Prosser, Hamish, et al.. (2020). The assessment of intermediate coronary lesions using intracoronary imaging. Cardiovascular Diagnosis and Therapy. 10(5). 1445–1460. 14 indexed citations
6.
Koshy, A., J. Sajeev, Nitesh Nerlekar, et al.. (2018). Smart watches for heart rate assessment in atrial arrhythmias. International Journal of Cardiology. 266. 124–127. 95 indexed citations
7.
Brown, Adam J., et al.. (2018). Endometriosis: a rare cause of multiple lung nodules on imaging. British Journal of Hospital Medicine. 79(2). 110–111. 1 indexed citations
8.
Michail, Michael, Justin E. Davies, James D. Cameron, Kim H. Parker, & Adam J. Brown. (2018). Pathophysiological coronary and microcirculatory flow alterations in aortic stenosis. Nature Reviews Cardiology. 15(7). 420–431. 46 indexed citations
9.
10.
Mirzaee, S., et al.. (2018). Biodegradable-Polymer Versus Polymer-Free Drug-Eluting Stents for the Treatment of Coronary Artery Disease. Cardiovascular revascularization medicine. 20(10). 865–870. 9 indexed citations
11.
Rashid, Hashrul, James D. Cameron, & Adam J. Brown. (2018). Activation of the coagulation cascade and the role of paravalvular leak in the development of leaflet thrombosis following transcatheter aortic valve replacement. EuroIntervention. 14(6). 718–719. 1 indexed citations
12.
Obaid, Daniel R., Patrick A. Calvert, Adam J. Brown, et al.. (2017). Coronary CT angiography features of ruptured and high-risk atherosclerotic plaques: Correlation with intra-vascular ultrasound. Journal of cardiovascular computed tomography. 11(6). 455–461. 45 indexed citations
13.
Hoole, Stephen P., Jules Hernández‐Sánchez, Adam J. Brown, et al.. (2017). Prediction of postpercutaneous coronary intervention myocardial infarction. Coronary Artery Disease. 29(3). 246–253. 2 indexed citations
14.
Cheshire, C., Nitesh Nerlekar, Liam McCormick, et al.. (2016). TCT-577 Intravascular ultrasound guidance during percutaneous coronary intervention using second-generation drug-eluting stents improves clinical outcomes and reduces restenosis rates: a comparative 8,265 patient meta-analysis. Journal of the American College of Cardiology. 68(18). B233–B234. 1 indexed citations
15.
Jaworski, Catherine, Adam J. Brown, Stephen P. Hoole, Martin Goddard, & Nick E.J. West. (2015). From Radial Artery to Embolus. JACC: Cardiovascular Interventions. 8(11). e177–e178. 1 indexed citations
16.
Costopoulos, Charis, Adam J. Brown, Zhongzhao Teng, et al.. (2015). Intravascular ultrasound and optical coherence tomography imaging of coronary atherosclerosis. International journal of cardiac imaging. 32(1). 189–200. 25 indexed citations
17.
Hoole, Stephen P., Adam J. Brown, Catherine Jaworski, et al.. (2015). Interpretation of fractional flow reserve in ST-elevation myocardial infarction culprit lesions. Coronary Artery Disease. 26(6). 495–502. 2 indexed citations
18.
Brown, Adam J., Liam McCormick, Stephen P. Hoole, & Nick E.J. West. (2013). Coregistered Intravascular Ultrasound and Optical Coherence Tomography Imaging During Implantation of a Bioresorbable Vascular Scaffold. JACC: Cardiovascular Interventions. 6(7). e41–e42. 6 indexed citations
19.
20.
Hoole, Stephen P., W. D. Watson, Adam J. Brown, William R. Davies, & David P. Dutka. (2012). TCT-614 Remote ischemic preconditioning improves outcome out to 6-years following elective percutaneous coronary intervention: the CRISP-Stent trial. Journal of the American College of Cardiology. 60(17). B178–B178. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sandy Liu Breakdown of academic impact, for papers by Hiromasa Otake Breakdown of academic impact, for papers by Guy Friedrich Breakdown of academic impact, for papers by John F. LaDisa Breakdown of academic impact, for papers by George D. Giannoglou Breakdown of academic impact, for papers by Rafael Beyar Breakdown of academic impact, for papers by Sophie Mavrogeni Breakdown of academic impact, for papers by Cornelis J. Slager Breakdown of academic impact, for papers by Alfredo R. Galassi Breakdown of academic impact, for papers by Yiannis S. Chatzizisis
Rankless by CCL
2026