Shanthi Nagarajan

34 total papers · 511 total citations
22 papers, 380 citations indexed

About

Shanthi Nagarajan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Shanthi Nagarajan has authored 22 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Cancer Research. Recurrent topics in Shanthi Nagarajan's work include Receptor Mechanisms and Signaling (5 papers), NF-κB Signaling Pathways (4 papers) and Computational Drug Discovery Methods (4 papers). Shanthi Nagarajan is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), NF-κB Signaling Pathways (4 papers) and Computational Drug Discovery Methods (4 papers). Shanthi Nagarajan collaborates with scholars based in United States, South Korea and India. Shanthi Nagarajan's co-authors include Ae Nim Pae, Sugunadevi Sakkiah, Amy J. Eshleman, Katherine M. Wolfrum, John F. Reed, Aaron Janowsky, Aaron Nilsen, Jeyaraman Jeyakanthan, Karthikeyan Muthusamy and Khuraijam Dhanachandra Singh and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Medicinal Chemistry and Biochemical Pharmacology.

In The Last Decade

Shanthi Nagarajan

21 papers receiving 375 citations

Author Peers

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

Author						Papers	Cites
Shanthi Nagarajan	203	76	55	52	50	22	380
Roger Estrada‐Tejedor	202 1.0×	38 0.5×	33 0.6×	45 0.9×	140 2.8×	34	428
Marta P. Carrasco	121 0.6×	15 0.2×	38 0.7×	38 0.7×	169 3.4×	17	389
Kamlesh Kumar Sahu	134 0.7×	24 0.3×	16 0.3×	28 0.5×	78 1.6×	39	346
Mark L. J. Reimer	160 0.8×	29 0.4×	15 0.3×	63 1.2×	39 0.8×	17	411
Yongli Du	245 1.2×	34 0.4×	27 0.5×	58 1.1×	57 1.1×	29	391
J. E. Dinger	115 0.6×	64 0.8×	84 1.5×	49 0.9×	5 0.1×	12	429
Kamila Siedlecka-Kroplewska	195 1.0×	20 0.3×	34 0.6×	41 0.8×	23 0.5×	21	372
R. A. Krause	194 1.0×	28 0.4×	11 0.2×	25 0.5×	102 2.0×	17	413
Venkata Velvadapu	126 0.6×	36 0.5×	52 0.9×	72 1.4×	130 2.6×	13	343
Joel K. Kawakami	140 0.7×	45 0.6×	29 0.5×	52 1.0×	213 4.3×	16	438

Countries citing papers authored by Shanthi Nagarajan

Since Specialization

Citations

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

Fields of papers citing papers by Shanthi Nagarajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanthi Nagarajan

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