Ravi V. Shah

14.6k citations
236 papers · 9.3k indexed · 2 hit papers · h-index 52
Topics
Cardiovascular Function and Risk Factors (57 papers)Cardiac Imaging and Diagnostics (45 papers)Heart Failure Treatment and Management (27 papers)

In The Last Decade

Ravi V. Shah

223 papers receiving 9.1k citations

Hit Papers

Circulating Extracellular Vesicles in Human Disease201820262020202320182020100200300400500

Peers

Ravi V. Shah
Comparison fields: 5 of 155
  • Cardiology and Cardiovascular Medicine 5.3k
  • Molecular Biology 2.0k
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Surgery 1.3k
  • Pulmonary and Respiratory Medicine 1.1k
Replace Yasuchika Takeishi with:
Yasuchika Takeishi Japan
Richard W. Troughton New Zealand
Jason C. Kovacic United States
Tanja Zeller Germany
George E. Taffet United States
Yoshihiro Miyamoto Japan
Yoshihiro Fukumoto Japan
Douglas W. Mahoney United States
Geoffrey J. Gottlieb United States
Patrick Mathieu Canada
Ravi V. Shah relative to Yasuchika Takeishi Japan Yasuchika Takeishi's profile →
Citations per field
00.5×3.1×
Yasuchika Takeishi · 1×
Citations per year

Countries citing papers authored by Ravi V. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Ravi V. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravi V. Shah. 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 Ravi V. Shah. The network helps show where Ravi V. Shah may publish in the future.

Co-authorship network of co-authors of Ravi V. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi V. Shah. A scholar is included among the top collaborators of Ravi V. Shah 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 Ravi V. Shah. Ravi V. Shah 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
#WorkIndexed citations
1 0
2 0
3 9
4 2
5 3
6 3
7 7
8 3
9 5
10 17
11 10
12 4
13 8
14 22
15 2
16 4
17 26
18 9
19 37
20 257

About Ravi V. Shah

Ravi V. Shah is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Radiology, Nuclear Medicine and Imaging, having authored 236 papers that have together received 9.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (57 papers), Cardiac Imaging and Diagnostics (45 papers) and Heart Failure Treatment and Management (27 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (5.3k citations), Cancer Research (1.0k citations) and Radiology, Nuclear Medicine and Imaging (1.4k citations). Ravi V. Shah has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Jane E. Freedman, Michael Jerosch‐Herold, Raymond Y. Kwong, Tushar Patel, Venkatesh L. Murthy, James L. Januzzi, Siddique Abbasi, Gregory D. Lewis, Tomas G. Neilan and Saumya Das. Their work appears in journals such as New England Journal of Medicine, Circulation and Nature Communications.

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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