Neil Ruparelia
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Molecular Biology
- Epidemiology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Robin P. ChoudhuryJoshua T. ChaiEdward A. FisherJanet E. DigbyAntonio ColomboAndrew JeffersonAzeem LatibHiroyoshi Kawamoto
- Topics
- Cardiac Valve Diseases and Treatments (47 papers)Coronary Interventions and Diagnostics (34 papers)Infective Endocarditis Diagnosis and Management (30 papers)
- Partner nations
- United KingdomItalyJapan
In The Last Decade
Neil Ruparelia
100 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cardiology and Cardiovascular Medicine 943
- Surgery 742
- Molecular Biology 417
- Epidemiology 410
- Radiology, Nuclear Medicine and Imaging 348
Countries citing papers authored by Neil Ruparelia
This map shows the geographic impact of Neil Ruparelia'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 Neil Ruparelia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Ruparelia more than expected).
Fields of papers citing papers by Neil Ruparelia
This network shows the impact of papers produced by Neil Ruparelia. 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 Neil Ruparelia. The network helps show where Neil Ruparelia may publish in the future.
Co-authorship network of co-authors of Neil Ruparelia
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Ruparelia. A scholar is included among the top collaborators of Neil Ruparelia 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 Neil Ruparelia. Neil Ruparelia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 36 | |
| 10 | 62 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 35 | |
| 18 | 6 | |
| 19 | Anti-inflammatory Effects of Nicotinic Acid: Mechanisms of Action in Human Monocytes | 3 |
| 20 | 0 |
About Neil Ruparelia
Neil Ruparelia is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 109 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (47 papers), Coronary Interventions and Diagnostics (34 papers) and Infective Endocarditis Diagnosis and Management (30 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (943 citations), Surgery (742 citations) and Biological Psychiatry (40 citations). Neil Ruparelia has collaborated with scholars based in United Kingdom, Italy and Japan. Frequent co-authors include Robin P. Choudhury, Joshua T. Chai, Edward A. Fisher, Janet E. Digby, Antonio Colombo, Andrew Jefferson, Azeem Latib, Hiroyoshi Kawamoto, Fernando O. Martínez and Małgorzata Wamil. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.