Vasvi Singh

695 citations
37 papers · 353 · h-index 10

Impact in

Papers in

Vasvi Singh

30 papers receiving 346 citations

Peers

Vasvi Singh
Comparison fields: 5 of 38
  • Nephrology 82
  • Cardiology and Cardiovascular Medicine 82
  • Molecular Biology 226
  • Physiology 69
  • Radiology, Nuclear Medicine and Imaging 57
Replace Biju Paul with:
Biju Paul Australia
Eve Cariou France
Martin Nicol France
Annabelle Nguyen France
Matthias Koschutnik Austria
J. Rahman United States
Laura Krapf France
Sneha Vakamudi United States
Ambra Raimondi Italy
N. Bart Australia
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Citations per field
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Citations per year

Countries citing papers authored by Vasvi Singh

Since Specialization
Citations

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

Fields of papers citing papers by Vasvi Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vasvi Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vasvi Singh Line = papers co-authored together Vasvi Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 202063
3 202030
4 201924
5 201720
6 202019
7 202217
8 202516
9 202113
10 202011
11 20219
12 20199
13 20199
14 20236
15 20204
16 20223
17 20222
18 20142
19 20212
20 20242

About Vasvi Singh

Vasvi Singh is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Physiology, having authored 37 papers that have together received 353 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (15 papers), Cardiac Imaging and Diagnostics (8 papers), Atrial Fibrillation Management and Outcomes (4 papers), Sarcoidosis and Beryllium Toxicity Research (4 papers), Cardiovascular Function and Risk Factors (3 papers), Viral Infections and Immunology Research (3 papers), Medical Imaging and Pathology Studies (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Nephrology (82 citations), Cardiology and Cardiovascular Medicine (82 citations), Molecular Biology (226 citations), Physiology (69 citations) and Radiology, Nuclear Medicine and Imaging (57 citations). Vasvi Singh has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Marcelo F. Di Carli, Sharmila Dorbala, Rodney H. Falk, Marie Foley Kijewski, Claudio Rapezzi, Sarah Cuddy, Saurabh Malhotra, Ron Blankstein, Mi‐Ae Park and Hicham Skali. Their work appears in journals such as Journal of Nuclear Cardiology, Journal of the American College of Cardiology, JACC. Cardiovascular imaging, Heart Rhythm and Journal of cardiovascular computed tomography.

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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