Daniel Blackman

658 total citations
7 papers, 46 citations indexed

About

Daniel Blackman is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel Blackman has authored 7 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel Blackman's work include Cardiac Valve Diseases and Treatments (5 papers), Cardiac Imaging and Diagnostics (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). Daniel Blackman is often cited by papers focused on Cardiac Valve Diseases and Treatments (5 papers), Cardiac Imaging and Diagnostics (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). Daniel Blackman collaborates with scholars based in United Kingdom, France and Australia. Daniel Blackman's co-authors include Didier Tchétché, Bruno García del Blanco, Mika Laine, Jörg Kempfert, Radosław Parma, David Hildick‐Smith, Davide Gabbieri, Julia Mascherbauer, Peter Ludman and Uday Trivedi and has published in prestigious journals such as Journal of the American College of Cardiology, Heart and Journal of Cardiovascular Magnetic Resonance.

In The Last Decade

Daniel Blackman

7 papers receiving 46 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Blackman United Kingdom 3 45 32 20 9 7 7 46
Israel Moshe Barbash Israel 2 38 0.8× 29 0.9× 16 0.8× 7 0.8× 8 1.1× 3 42
Frédéric Targosz France 4 63 1.4× 53 1.7× 18 0.9× 20 2.2× 10 1.4× 8 64
Bernard Lung France 5 68 1.5× 29 0.9× 26 1.3× 13 1.4× 15 2.1× 11 89
Maria Cristina Meira Ferreira Brazil 4 59 1.3× 25 0.8× 14 0.7× 6 0.7× 6 0.9× 5 71
Phillippe Pibarot Canada 4 59 1.3× 50 1.6× 26 1.3× 10 1.1× 12 1.7× 5 62
Rajiv Rampat United Kingdom 3 77 1.7× 56 1.8× 30 1.5× 19 2.1× 11 1.6× 6 80
Ivo van der Bilt Netherlands 4 42 0.9× 19 0.6× 13 0.7× 12 1.3× 8 1.1× 10 49
Max Pécheux France 3 28 0.6× 22 0.7× 20 1.0× 6 0.7× 12 1.7× 4 38
Tatsuya Tsunaki Japan 4 66 1.5× 36 1.1× 17 0.8× 17 1.9× 11 1.6× 6 68
Jolanta-Justina Vaškelytė Italy 2 28 0.6× 18 0.6× 25 1.3× 9 1.0× 5 0.7× 2 36

Countries citing papers authored by Daniel Blackman

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 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 Blackman more than expected).

Fields of papers citing papers by Daniel Blackman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Blackman

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

All Works

7 of 7 papers shown
1.
Blackman, Daniel, Michael S. Cunnington, John P. Greenwood, et al.. (2022). Safety and efficacy of interrupting dual antiplatelet therapy one month following percutaneous coronary intervention: a meta-analysis of randomized controlled trials. BMC Cardiovascular Disorders. 22(1). 450–450. 2 indexed citations
2.
Blackman, Daniel, Davide Gabbieri, Bruno García del Blanco, et al.. (2021). Expert Consensus on Sizing and Positioning of SAPIEN 3/Ultra in Bicuspid Aortic Valves. Cardiology and Therapy. 10(2). 277–288. 18 indexed citations
3.
MacCarthy, Philip, Dave Smith, Douglas Muir, et al.. (2021). Extended Statement by the British Cardiovascular Intervention Society President Regarding Transcatheter Aortic Valve Implantation. Interventional Cardiology Reviews Research Resources. 16. e03–e03. 9 indexed citations
4.
Meredith, Ian T., Nicolas Dumonteil, Daniel Blackman, et al.. (2017). Repositionable percutaneous aortic valve implantation with the LOTUS valve: 30-day and 1-year outcomes in 250 high-risk surgical patients. EuroIntervention. 13(7). 788–795. 13 indexed citations
5.
Khan, Jamal Nasir, John P. Greenwood, Sheraz A. Nazir, et al.. (2015). THE COMPLETE VERSUS LESION ONLY PRIMARY PCI TRIAL-CARDIOVASCULAR MRI SUBSTUDY (CVLPRIT-CMR). Journal of the American College of Cardiology. 65(10). A17–A17. 2 indexed citations
6.
Uddin, Akhlaque, Manish Motwani, Ananth Kidambi, et al.. (2013). 145 AORTIC REGURGITATION AFTER COREVALVE TRANSCATHETER AORTIC VALVE IMPLANTATION (TAVI): ASSESSMENT BY ECHOCARDIOGRAPHY AND CARDIOVASCULAR MAGNETIC RESONANCE. Heart. 99(suppl 2). A85.2–A86. 1 indexed citations
7.
Uddin, Akhlaque, Timothy Fairbairn, Christopher D Steadman, et al.. (2013). Quantitative analysis of post-TAVI aortic regurgitation with cardiovascular magnetic resonance and the relationship to transthoracic echocardiography. Journal of Cardiovascular Magnetic Resonance. 15. P114–P114. 1 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