Subeena Sood

30 total papers · 1.4k total citations
14 papers, 950 citations indexed

About

Subeena Sood is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Subeena Sood has authored 14 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Subeena Sood's work include Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (4 papers) and Cardiovascular Effects of Exercise (3 papers). Subeena Sood is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (4 papers) and Cardiovascular Effects of Exercise (3 papers). Subeena Sood collaborates with scholars based in United States, China and Germany. Subeena Sood's co-authors include Xander H.T. Wehrens, Mihail G. Chelu, Darlene G. Skapura, Ralph J. van Oort, Marco Santonastasi, Randy L. Johnson, Jun Wang, Dobromir Dobrev, James F. Martin and Elzbieta Klysik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Subeena Sood

12 papers receiving 935 citations

Author Peers

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

Author						Papers	Cites
Subeena Sood	693	608	96	49	41	14	950
Artavazd Tadevosyan	788 1.1×	641 1.1×	182 1.9×	66 1.3×	63 1.5×	18	1.2k
Khaï Le Quang	663 1.0×	571 0.9×	118 1.2×	158 3.2×	44 1.1×	17	1.0k
Balázs Ördög	516 0.7×	446 0.7×	102 1.1×	41 0.8×	13 0.3×	27	821
Xiao Yan Qi	913 1.3×	523 0.9×	82 0.9×	68 1.4×	12 0.3×	27	1.2k
Mathias Gebauer	334 0.5×	471 0.8×	58 0.6×	124 2.5×	104 2.5×	15	943
Libi Sherf	759 1.1×	231 0.4×	105 1.1×	72 1.5×	17 0.4×	21	948
Sayali S. Dixit	764 1.1×	793 1.3×	156 1.6×	93 1.9×	100 2.4×	11	1.2k
Eva Graf	611 0.9×	674 1.1×	169 1.8×	139 2.8×	43 1.0×	15	1.1k
Setsuya Miyata	485 0.7×	539 0.9×	40 0.4×	92 1.9×	72 1.8×	16	912
Mickey M. Martin	486 0.7×	912 1.5×	75 0.8×	59 1.2×	36 0.9×	27	1.2k

Countries citing papers authored by Subeena Sood

Since Specialization

Citations

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

Fields of papers citing papers by Subeena Sood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subeena Sood

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