Saket Sanghai

55 total papers · 553 total citations
16 papers, 276 citations indexed

About

Saket Sanghai is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Economics and Econometrics. According to data from OpenAlex, Saket Sanghai has authored 16 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 3 papers in Economics and Econometrics. Recurrent topics in Saket Sanghai's work include Cardiovascular Disease and Adiposity (3 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Saket Sanghai is often cited by papers focused on Cardiovascular Disease and Adiposity (3 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Saket Sanghai collaborates with scholars based in United States, India and Canada. Saket Sanghai's co-authors include David D. McManus, Jane S. Saczynski, Ira Shah, Molly E. Waring, Robert J. Goldberg, Darleen Lessard, Sushmita Bhatnagar, Ziyue Wang, Robert Hayward and Benita A. Bamgbade and has published in prestigious journals such as Journal of the American Geriatrics Society, Journal of General Internal Medicine and Journal of the American Society of Echocardiography.

In The Last Decade

Saket Sanghai

12 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Saket Sanghai	206	51	50	43	34	16	276
Alex Grinvalds	291 1.4×	21 0.4×	26 0.5×	43 1.0×	30 0.9×	11	330
Chul Ahn	246 1.2×	89 1.7×	34 0.7×	68 1.6×	13 0.4×	16	322
Shamik Aikat	227 1.1×	44 0.9×	10 0.2×	35 0.8×	40 1.2×	14	300
Tiffany Hu	190 0.9×	35 0.7×	12 0.2×	59 1.4×	54 1.6×	21	281
Youngsook Choi	192 0.9×	23 0.5×	16 0.3×	46 1.1×	91 2.7×	16	275
Yoshio Uetsuka	219 1.1×	33 0.6×	13 0.3×	39 0.9×	55 1.6×	19	279
Cristina Barreiro Pardal	156 0.8×	52 1.0×	9 0.2×	55 1.3×	27 0.8×	16	284
Rhonda L. Larsen	237 1.2×	99 1.9×	6 0.1×	22 0.5×	34 1.0×	12	295
Sanshuai Chang	275 1.3×	22 0.4×	28 0.6×	49 1.1×	44 1.3×	26	297
Shaun G. Goodman	107 0.5×	49 1.0×	29 0.6×	14 0.3×	7 0.2×	16	197

Countries citing papers authored by Saket Sanghai

Since Specialization

Citations

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

Fields of papers citing papers by Saket Sanghai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saket Sanghai

This figure shows the co-authorship network connecting the top 25 collaborators of Saket Sanghai. A scholar is included among the top collaborators of Saket Sanghai 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 Saket Sanghai. Saket Sanghai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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