Sekar Ramachandran

51 total papers · 1.7k total citations
27 papers, 623 citations indexed

About

Sekar Ramachandran is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sekar Ramachandran has authored 27 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sekar Ramachandran's work include Receptor Mechanisms and Signaling (12 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). Sekar Ramachandran is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). Sekar Ramachandran collaborates with scholars based in United States, India and Spain. Sekar Ramachandran's co-authors include Richard A. Cerione, Jon W. Erickson, William P. Katt, Georgios Skiniotis, Yang Gao, Clint A. Stalnecker, Yunxing Li, Scott M. Ulrich, Ralph J. DeBerardinis and Hongli Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Sekar Ramachandran

27 papers receiving 621 citations

Author Peers

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

Author						Papers	Cites
Sekar Ramachandran	495	266	90	66	54	27	623
Erez Persi	385 0.8×	199 0.7×	74 0.8×	25 0.4×	31 0.6×	19	717
Ramin Dubey	509 1.0×	118 0.4×	29 0.3×	36 0.5×	31 0.6×	15	692
Kazuko Yorita	388 0.8×	166 0.6×	78 0.9×	269 4.1×	37 0.7×	29	730
S Knof	442 0.9×	147 0.6×	98 1.1×	34 0.5×	145 2.7×	23	694
John L. Andrews	449 0.9×	89 0.3×	82 0.9×	40 0.6×	49 0.9×	19	730
Meital Gabay	545 1.1×	208 0.8×	48 0.5×	32 0.5×	62 1.1×	10	740
Donna Ullrey	472 1.0×	98 0.4×	66 0.7×	141 2.1×	89 1.6×	34	708
Bernhard König	371 0.7×	141 0.5×	64 0.7×	20 0.3×	50 0.9×	19	567
Ingming Jeng	339 0.7×	62 0.2×	178 2.0×	55 0.8×	60 1.1×	26	588
Jun Xian	458 0.9×	163 0.6×	52 0.6×	35 0.5×	59 1.1×	18	656

Countries citing papers authored by Sekar Ramachandran

Since Specialization

Citations

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

Fields of papers citing papers by Sekar Ramachandran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sekar Ramachandran

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