Suseela Srinivasan

32 total papers · 2.0k total citations
27 papers, 1.7k citations indexed

About

Suseela Srinivasan is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Suseela Srinivasan has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Immunology and 9 papers in Surgery. Recurrent topics in Suseela Srinivasan's work include Peroxisome Proliferator-Activated Receptors (11 papers), Cholesterol and Lipid Metabolism (7 papers) and Drug Transport and Resistance Mechanisms (6 papers). Suseela Srinivasan is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (11 papers), Cholesterol and Lipid Metabolism (7 papers) and Drug Transport and Resistance Mechanisms (6 papers). Suseela Srinivasan collaborates with scholars based in United States, Brazil and India. Suseela Srinivasan's co-authors include Catherine C. Hedrick, David T. Bolick, Melissa E. Hatley, Kevin R. Lynch, Angela M. Whetzel, Jerry L. Nadler, Marcus D. Skaflen, Richard L. Proia, J. Hughes and Paweł E. Ferdek and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and The Journal of Immunology.

In The Last Decade

Suseela Srinivasan

27 papers receiving 1.7k citations

Author Peers

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

Author						Papers	Cites
Suseela Srinivasan	919	507	446	212	205	27	1.7k
Aksam Merched	829 0.9×	440 0.9×	431 1.0×	174 0.8×	191 0.9×	30	2.1k
Jennifer Pattison	787 0.9×	575 1.1×	642 1.4×	288 1.4×	142 0.7×	18	1.8k
A.J. Lusis	790 0.9×	567 1.1×	397 0.9×	303 1.4×	107 0.5×	28	1.9k
Hong Pei	563 0.6×	587 1.2×	263 0.6×	223 1.1×	193 0.9×	38	1.6k
M Antonucci	989 1.1×	263 0.5×	392 0.9×	198 0.9×	129 0.6×	21	1.4k
Felicidad Almazan	709 0.8×	858 1.7×	423 0.9×	382 1.8×	118 0.6×	21	1.8k
Kerry W.S. Ko	488 0.5×	348 0.7×	369 0.8×	302 1.4×	101 0.5×	27	1.4k
Alexander Akhmedov	683 0.7×	470 0.9×	397 0.9×	217 1.0×	108 0.5×	49	2.0k
Peter S. Gargalovic	1.0k 1.1×	380 0.7×	311 0.7×	279 1.3×	69 0.3×	27	1.9k
Hidetsugu Matsushita	693 0.8×	309 0.6×	351 0.8×	164 0.8×	150 0.7×	27	1.8k

Countries citing papers authored by Suseela Srinivasan

Since Specialization

Citations

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

Fields of papers citing papers by Suseela Srinivasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suseela Srinivasan

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