Sukhpal Prehar

95 total papers · 1.7k total citations
41 papers, 1.2k citations indexed

About

Sukhpal Prehar is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Sukhpal Prehar has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 22 papers in Cardiology and Cardiovascular Medicine and 8 papers in Physiology. Recurrent topics in Sukhpal Prehar's work include Signaling Pathways in Disease (10 papers), Cardiac Fibrosis and Remodeling (10 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Sukhpal Prehar is often cited by papers focused on Signaling Pathways in Disease (10 papers), Cardiac Fibrosis and Remodeling (10 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Sukhpal Prehar collaborates with scholars based in United Kingdom, United States and Egypt. Sukhpal Prehar's co-authors include Elizabeth J. Cartwright, Min Zi, Delvac Oceandy, Ludwig Neyses, Xin Wang, Wei Liu, Florence Baudoin, Nicholas Stafford, Ming Lei and Jiawei Jin and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Sukhpal Prehar

40 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Sukhpal Prehar 723 521 171 137 80 41 1.2k
Min Zi 702 1.0× 454 0.9× 193 1.1× 111 0.8× 86 1.1× 51 1.1k
Birgit Bölck 575 0.8× 520 1.0× 85 0.5× 151 1.1× 91 1.1× 49 1.1k
Shinji Satoh 647 0.9× 517 1.0× 93 0.5× 278 2.0× 130 1.6× 47 1.3k
Wataru Mizushima 806 1.1× 375 0.7× 271 1.6× 285 2.1× 110 1.4× 29 1.3k
Yasuaki Nishimura 607 0.8× 406 0.8× 96 0.6× 135 1.0× 113 1.4× 56 1.4k
Wei‐Jin Zang 581 0.8× 410 0.8× 81 0.5× 238 1.7× 177 2.2× 56 1.4k
Haruki Yamakawa 655 0.9× 232 0.4× 120 0.7× 158 1.2× 103 1.3× 40 1.5k
Yalda Jamshidi 648 0.9× 447 0.9× 166 1.0× 260 1.9× 110 1.4× 38 1.3k
Simon Sedej 727 1.0× 588 1.1× 126 0.7× 378 2.8× 106 1.3× 53 1.5k
Jing Li 428 0.6× 306 0.6× 61 0.4× 131 1.0× 92 1.1× 52 936

Countries citing papers authored by Sukhpal Prehar

Since Specialization
Citations

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

Fields of papers citing papers by Sukhpal Prehar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukhpal Prehar

This figure shows the co-authorship network connecting the top 25 collaborators of Sukhpal Prehar. A scholar is included among the top collaborators of Sukhpal Prehar 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 Sukhpal Prehar. Sukhpal Prehar 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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