Jaganathan Subramani

37 total papers · 912 total citations
28 papers, 672 citations indexed

About

Jaganathan Subramani is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jaganathan Subramani has authored 28 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jaganathan Subramani's work include Nitric Oxide and Endothelin Effects (8 papers), Redox biology and oxidative stress (6 papers) and Renin-Angiotensin System Studies (4 papers). Jaganathan Subramani is often cited by papers focused on Nitric Oxide and Endothelin Effects (8 papers), Redox biology and oxidative stress (6 papers) and Renin-Angiotensin System Studies (4 papers). Jaganathan Subramani collaborates with scholars based in United States and India. Jaganathan Subramani's co-authors include Venkatesh Kundumani‐Sridharan, Kumuda C. Das, Mallika Ghosh, Linda H. Shapiro, Mamunur Rahman, M. Dennis Leo, Rob H. P. Hilgers, M. Saxena, Leslie A. Caromile and V.K. Saxena and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Jaganathan Subramani

28 papers receiving 662 citations

Author Peers

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

Author Last Decade Papers Cites
Jaganathan Subramani 269 104 103 99 73 28 672
Ashish Bhattacharjee 314 1.2× 78 0.8× 244 2.4× 100 1.0× 58 0.8× 32 781
Tiziana Adage 203 0.8× 146 1.4× 151 1.5× 88 0.9× 46 0.6× 27 664
Robert E. Corin 309 1.1× 47 0.5× 74 0.7× 130 1.3× 102 1.4× 27 690
Walter F. Bobrowski 223 0.8× 115 1.1× 100 1.0× 53 0.5× 70 1.0× 28 666
Tatsuro Nakamura 248 0.9× 50 0.5× 201 2.0× 140 1.4× 67 0.9× 44 754
Mei Zhang 369 1.4× 42 0.4× 60 0.6× 112 1.1× 68 0.9× 39 695
Hiroshi Miyanaka 342 1.3× 68 0.7× 220 2.1× 92 0.9× 60 0.8× 21 767
Varun Kesherwani 316 1.2× 42 0.4× 98 1.0× 45 0.5× 39 0.5× 28 602
Guorong Lin 348 1.3× 128 1.2× 86 0.8× 80 0.8× 265 3.6× 25 682
Fábio V. Fonseca 277 1.0× 40 0.4× 98 1.0× 195 2.0× 39 0.5× 18 714

Countries citing papers authored by Jaganathan Subramani

Since Specialization
Citations

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

Fields of papers citing papers by Jaganathan Subramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaganathan Subramani

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