Neil Ruparelia

4.3k total citations · 1 hit paper
109 papers, 2.2k citations indexed

About

Neil Ruparelia is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Neil Ruparelia has authored 109 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Cardiology and Cardiovascular Medicine, 48 papers in Surgery and 36 papers in Epidemiology. Recurrent topics in Neil Ruparelia's work include Cardiac Valve Diseases and Treatments (47 papers), Coronary Interventions and Diagnostics (34 papers) and Infective Endocarditis Diagnosis and Management (30 papers). Neil Ruparelia is often cited by papers focused on Cardiac Valve Diseases and Treatments (47 papers), Coronary Interventions and Diagnostics (34 papers) and Infective Endocarditis Diagnosis and Management (30 papers). Neil Ruparelia collaborates with scholars based in United Kingdom, Italy and Japan. Neil Ruparelia's 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 and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Neil Ruparelia

100 papers receiving 2.1k citations

Hit Papers

Inflammatory processes in cardiovascular disease: a route... 2016 2026 2019 2022 2016 100 200 300

Peers

Neil Ruparelia
Comparison fields: 5 of 115
  • Cardiology and Cardiovascular Medicine 943
  • Surgery 742
  • Molecular Biology 417
  • Epidemiology 410
  • Radiology, Nuclear Medicine and Imaging 348
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Citations per field, relative to Neil Ruparelia
Neil Ruparelia · 1×
Citations per year, relative to Neil Ruparelia
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Countries citing papers authored by Neil Ruparelia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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