Daniel Hammersley

7.4k total citations
35 papers, 257 citations indexed

About

Daniel Hammersley is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Daniel Hammersley has authored 35 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Daniel Hammersley's work include Cardiac pacing and defibrillation studies (10 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiac electrophysiology and arrhythmias (7 papers). Daniel Hammersley is often cited by papers focused on Cardiac pacing and defibrillation studies (10 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiac electrophysiology and arrhythmias (7 papers). Daniel Hammersley collaborates with scholars based in United Kingdom, United States and Canada. Daniel Hammersley's co-authors include Mark Signy, Brian P. Halliday, Sanjay Prasad, Richard E. Jones, Robin J. Taylor, Pablo Lamata, Tian Qiu, Fraz Umar, Upasana Tayal and Francisco Leyva and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Daniel Hammersley

29 papers receiving 252 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 Hammersley United Kingdom 9 164 54 41 20 16 35 257
Daniel Do United States 6 110 0.7× 51 0.9× 80 2.0× 29 1.4× 13 0.8× 14 224
Tymon Pol Sweden 6 80 0.5× 53 1.0× 18 0.4× 21 1.1× 14 0.9× 11 183
Amit Doshi United States 7 123 0.8× 57 1.1× 22 0.5× 25 1.3× 8 0.5× 21 218
Vincenzo Sucato Italy 10 171 1.0× 80 1.5× 89 2.2× 28 1.4× 10 0.6× 51 273
Haralampos Karvounis Greece 11 213 1.3× 60 1.1× 36 0.9× 7 0.3× 19 1.2× 31 274
Eleonora Ruscio Italy 4 71 0.4× 53 1.0× 19 0.5× 14 0.7× 9 0.6× 13 146
Juergen Wellmann Germany 7 99 0.6× 39 0.7× 66 1.6× 13 0.7× 10 0.6× 8 272
Georg Haltern Germany 9 167 1.0× 76 1.4× 68 1.7× 14 0.7× 13 0.8× 13 240
Dong Geum Shin South Korea 11 257 1.6× 77 1.4× 64 1.6× 15 0.8× 22 1.4× 38 340

Countries citing papers authored by Daniel Hammersley

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hammersley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hammersley

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hammersley. A scholar is included among the top collaborators of Daniel Hammersley 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 Hammersley. Daniel Hammersley 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.
Hammersley, Daniel, et al.. (2025). The Impact of Cardio-Renal-Metabolic Profile in Dilated Cardiomyopathy. Current Cardiology Reports. 27(1). 89–89. 1 indexed citations
2.
Deng, Yu, Marina Strocchi, Richard E. Jones, et al.. (2025). Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization. Nature Cardiovascular Research. 4(5). 624–636. 7 indexed citations
3.
Strocchi, Marina, Daniel Hammersley, Brian P. Halliday, Sanjay Prasad, & Steven Niederer. (2025). Cardiac digital twins: a tool to investigate the function and treatment of the diabetic heart. Cardiovascular Diabetology. 24(1). 293–293. 1 indexed citations
4.
Hammersley, Daniel, Abbasin Zegard, Emmanuel Androulakis, et al.. (2024). Arrhythmic Risk Stratification by Cardiovascular Magnetic Resonance Imaging in Patients With Nonischemic Cardiomyopathy. Journal of the American College of Cardiology. 84(15). 1407–1420. 8 indexed citations
5.
Hammersley, Daniel, Saad Javed, John Gregson, et al.. (2024). Long-Term Follow-Up of the TRED-HF Trial: Implications for Therapy in Patients with Dilated Cardiomyopathy and Heart Failure Remission. European Journal of Heart Failure. 27(1). 113–123. 5 indexed citations
6.
Hammersley, Daniel, Saad Javed, Saibal Mukhopadhyay, et al.. (2024). Long-term follow-up of the TRED-HF trial. European Heart Journal. 45(Supplement_1).
7.
Ferreira, Pedro, Andrew D. Scott, Zohya Khalique, et al.. (2024). Characterization of dynamic changes in cardiac microstructure after reperfused ST-elevation myocardial infarction by biphasic diffusion tensor cardiovascular magnetic resonance. European Heart Journal. 46(5). 454–469. 4 indexed citations
8.
Hammersley, Daniel, Richard Jones, Suzan Hatipoğlu, et al.. (2023). 13 Myocardial fibrosis entropy is associated with life-threatening arrhythmia in non-ischaemic cardiomyopathy. Abstracts. A10.1–A10. 1 indexed citations
9.
Leyva, Francisco, Abbasin Zegard, Osita Okafor, et al.. (2023). 32 Myocardial fibrosis predicts ventricular arrhythmias and sudden death after cardiac electronic device implantation. Abstracts. A24.2–A25.
10.
Jones, Richard E., Daniel Hammersley, Suzan Hatipoğlu, et al.. (2023). Machine learning analysis of complex late gadolinium enhancement patterns to improve risk prediction of major arrhythmic events. Frontiers in Cardiovascular Medicine. 10. 1082778–1082778. 7 indexed citations
11.
Halliday, Brian P., Ruth Owen, John Gregson, et al.. (2022). Changes in Clinical and Imaging Variables During Withdrawal of Heart Failure Therapy in Recovered Dilated Cardiomyopathy. ESC Heart Failure. 9(3). 1616–1624. 4 indexed citations
12.
Leyva, Francisco, Abbasin Zegard, Osita Okafor, et al.. (2022). Myocardial Fibrosis Predicts Ventricular Arrhythmias and Sudden Death After Cardiac Electronic Device Implantation. Journal of the American College of Cardiology. 79(7). 665–678. 39 indexed citations
13.
Halliday, Brian P., Ali Vazir, Ruth Owen, et al.. (2021). Heart Rate as a Marker of Relapse During Withdrawal of Therapy in Recovered Dilated Cardiomyopathy. JACC Heart Failure. 9(7). 509–517. 9 indexed citations
14.
Hammersley, Daniel & Brian P. Halliday. (2020). Sudden Cardiac Death Prediction in Non-ischemic Dilated Cardiomyopathy: a Multiparametric and Dynamic Approach. Current Cardiology Reports. 22(9). 85–85. 12 indexed citations
15.
Hammersley, Daniel, Richard E. Jones, Lukáš Mach, Brian P. Halliday, & Sanjay Prasad. (2020). Cardiovascular Magnetic Resonance in Heritable Cardiomyopathies. Heart Failure Clinics. 17(1). 25–39. 3 indexed citations
16.
Lota, Amrit, Brian P. Halliday, Upasana Tayal, et al.. (2019). Abstract 11463: Epidemiological Trends and Outcomes of Acute Myocarditis in the National Health Service of England. Circulation. 2 indexed citations
17.
Hammersley, Daniel, et al.. (2017). An unusual cause of hypoxia: getting to the heart of the matter. Echo Research and Practice. 5(1). K7–K11. 2 indexed citations
18.
Hammersley, Daniel, et al.. (2017). Incidental finding of a filamentous mass in the left atrium in a patient investigated for endocarditis. BMJ Case Reports. 2017. bcr–2017.
19.
Hammersley, Daniel, et al.. (2015). Feasibility of Left Atrial Appendage Occlusion Without Preprocedural Transesophageal Echocardiography or CT Scanning.. PubMed. 27(12). E297–301. 3 indexed citations
20.
Luther, Vishal, et al.. (2014). Improving patient handover between teams using a business improvement model: PDSA cycle. British Journal of Hospital Medicine. 75(1). 44–47. 5 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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