Daniel J. Blackman

8.3k total citations · 1 hit paper
129 papers, 3.1k citations indexed

About

Daniel J. Blackman is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel J. Blackman has authored 129 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Cardiology and Cardiovascular Medicine, 59 papers in Epidemiology and 36 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel J. Blackman's work include Cardiac Valve Diseases and Treatments (84 papers), Infective Endocarditis Diagnosis and Management (56 papers) and Cardiac Imaging and Diagnostics (36 papers). Daniel J. Blackman is often cited by papers focused on Cardiac Valve Diseases and Treatments (84 papers), Infective Endocarditis Diagnosis and Management (56 papers) and Cardiac Imaging and Diagnostics (36 papers). Daniel J. Blackman collaborates with scholars based in United Kingdom, United States and Germany. Daniel J. Blackman's co-authors include John P. Greenwood, Gerry P McCann, Timothy Fairbairn, Sven Plein, David Hildick‐Smith, Ian T. Meredith, Anthony Gershlick, Jamal Nasir Khan, Winston Banya and Adam N Mather and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel J. Blackman

113 papers receiving 3.1k citations

Hit Papers

Randomized Trial of Complete Versus Lesion-Only Revascula... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Blackman United Kingdom 28 2.8k 1.3k 1.1k 871 697 129 3.1k
Grégory Ducrocq France 28 2.2k 0.8× 1.0k 0.8× 763 0.7× 538 0.6× 538 0.8× 135 2.9k
Francesca Bursi Italy 24 3.6k 1.3× 522 0.4× 1.1k 1.0× 849 1.0× 532 0.8× 89 4.1k
Timm Bauer Germany 25 1.8k 0.6× 697 0.5× 884 0.8× 375 0.4× 475 0.7× 124 2.2k
D. Burstow Australia 26 1.9k 0.7× 491 0.4× 577 0.5× 609 0.7× 577 0.8× 109 2.7k
Antonino Di Franco United States 30 1.9k 0.7× 223 0.2× 1.4k 1.3× 465 0.5× 565 0.8× 125 2.6k
Carlo Rostagno Italy 24 1.4k 0.5× 392 0.3× 632 0.6× 181 0.2× 251 0.4× 130 2.2k
Manuel Castellà Spain 19 2.7k 1.0× 362 0.3× 534 0.5× 208 0.2× 376 0.5× 97 3.2k
Jayashri Aragam United States 28 2.1k 0.8× 271 0.2× 356 0.3× 578 0.7× 362 0.5× 57 2.8k
Kimi Sato Japan 25 1.8k 0.6× 405 0.3× 398 0.4× 617 0.7× 256 0.4× 99 2.1k
Jarosław Dróżdż Poland 21 1.9k 0.7× 254 0.2× 342 0.3× 253 0.3× 394 0.6× 136 2.3k

Countries citing papers authored by Daniel J. Blackman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Blackman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Blackman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Blackman. A scholar is included among the top collaborators of Daniel J. Blackman 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 Daniel J. Blackman. Daniel J. Blackman 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.
Curzen, Nick, et al.. (2025). Cost-Utility Analysis of TAVI Versus Surgery in Low-Risk Patients with Severe Aortic Stenosis in the UK. Applied Health Economics and Health Policy. 24(2). 365–378.
2.
Kennedy, James, Daniel J. Blackman, Matthew Dodd, et al.. (2025). Impact of Cerebral Embolic Protection on Cognitive Function After Transcatheter Aortic Valve Implantation: Data From the BHF PROTECT-TAVI Randomized Trial. Circulation. 152(18). 1268–1278.
3.
Feistritzer, Hans‐Josef, Liesbeth Rosseel, Darren Mylotte, et al.. (2025). Alternative Access for TAVR. JACC: Cardiovascular Interventions. 18(19). 2309–2325.
5.
Malkin, Christopher J., et al.. (2024). Artificial intelligence in heart valve disease: diagnosis, innovation and treatment. A state-of-the-art review. British Journal of Cardiology. 31(3). 31–31.
6.
Aktaa, Suleman, Noman Ali, Peter Ludman, et al.. (2024). Geographical Inequality in Access to Aortic Valve Intervention in England: A Report from the UK Transcatheter Aortic Valve Implantation Registry and National Adult Cardiac Surgery Audit. Interventional Cardiology Reviews Research Resources. 19. e15–e15. 1 indexed citations
7.
Bapat, Vinayak, Miho Fukui, Syed Zaid, et al.. (2024). A Guide to Transcatheter Aortic Valve Design and Systematic Planning for a Redo-TAV (TAV-in-TAV) Procedure. JACC: Cardiovascular Interventions. 17(14). 1631–1651. 10 indexed citations
8.
Blackman, Daniel J., et al.. (2024). Cost-effectiveness of TAVI in the United Kingdom: a long-term analysis based on 4-year data from the Evolut Low Risk Trial. The European Journal of Health Economics. 26(5). 745–755. 1 indexed citations
9.
Zaman, Azfar, Bernard Prendergast, David Hildick‐Smith, et al.. (2023). An Update on Anti-thrombotic Therapy Following Transcatheter Aortic Valve Implantation: Expert Cardiologist Opinion from a UK and Ireland Delphi Group. Interventional Cardiology Reviews Research Resources. 18. e13–e13. 2 indexed citations
10.
Alfadhel, Mesfer, Janarthanan Sathananthan, Ole De Backer, et al.. (2023). Redo Transcatheter Aortic Valve Implantation in the Lotus Mechanically Expanded Transcatheter Heart Valve: Bench-Top Analysis, Clinical Experience, and Procedural Guidance. Circulation Cardiovascular Interventions. 16(11). e013296–e013296.
12.
Arunothayaraj, Sandeep, James Cockburn, James D. Newton, et al.. (2021). Procedural Mortality With Transcatheter Aortic Valve Replacement – Balloon Inflation is Associated With Increased Risk. ˜The œJournal of invasive cardiology. 33(10). E761–E768. 1 indexed citations
13.
14.
Dobson, Laura E, Tarique A Musa, Akhlaque Uddin, et al.. (2016). Acute Reverse Remodelling After Transcatheter Aortic Valve Implantation: A Link Between Myocardial Fibrosis and Left Ventricular Mass Regression. Canadian Journal of Cardiology. 32(12). 1411–1418. 28 indexed citations
15.
Dobson, Laura E, Timothy Fairbairn, Tarique A Musa, et al.. (2016). Sex-related differences in left ventricular remodeling in severe aortic stenosis and reverse remodeling after aortic valve replacement: A cardiovascular magnetic resonance study. American Heart Journal. 175. 101–111. 43 indexed citations
17.
Ludman, Peter, Neil Moat, Mark de Belder, et al.. (2015). Transcatheter Aortic Valve Implantation in the United Kingdom. Circulation. 131(13). 1181–1190. 214 indexed citations
18.
Meredith, Ian T., Tony Walton, Stephen Brecker, et al.. (2015). EARLY RESULTS FROM THE COREVALVE EVOLUT R STUDY. Journal of the American College of Cardiology. 65(10). A1782–A1782. 6 indexed citations
20.
Anderson, Richard A., Geraint Ellis, Yuliy Y. Chirkov, et al.. (2003). Determinants of Platelet Responsiveness to Nitric Oxide in Patients with Chronic Heart Failure. European Journal of Heart Failure. 6(1). 47–54. 27 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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