V. R. Chandran

10 total papers · 556 total citations
9 papers, 428 citations indexed

About

V. R. Chandran is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, V. R. Chandran has authored 9 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in V. R. Chandran's work include RNA regulation and disease (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Nuclear Receptors and Signaling (5 papers). V. R. Chandran is often cited by papers focused on RNA regulation and disease (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Nuclear Receptors and Signaling (5 papers). V. R. Chandran collaborates with scholars based in Singapore, United States and Brazil. V. R. Chandran's co-authors include Pavanni Ratnagopal, Y. Yih, Eng‐King Tan, Yi Zhao, Mei Lin Teoh, Hui Shen, Martin C. S. Wong, Celia Ia Choo Tan, Stephanie Fook‐Chong and Henry Chung and has published in prestigious journals such as Neurology, Movement Disorders and Journal of the Neurological Sciences.

In The Last Decade

V. R. Chandran

9 papers receiving 412 citations

Author Peers

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

Author						Papers	Cites
V. R. Chandran	221	162	111	52	52	9	428
Suzhen Gong	122 0.6×	146 0.9×	114 1.0×	62 1.2×	16 0.3×	14	377
Akiyoshi Morinaga	106 0.5×	75 0.5×	173 1.6×	46 0.9×	44 0.8×	14	453
Julia Jecel	91 0.4×	91 0.6×	67 0.6×	25 0.5×	22 0.4×	9	411
Joseph M. Hall	112 0.5×	111 0.7×	35 0.3×	65 1.3×	25 0.5×	10	452
Kala Venkiteswaran	187 0.8×	97 0.6×	134 1.2×	38 0.7×	11 0.2×	17	478
Daniel Hernández-Baltazar	162 0.7×	196 1.2×	116 1.0×	79 1.5×	15 0.3×	19	404
César Tabernero	277 1.3×	108 0.7×	65 0.6×	63 1.2×	9 0.2×	14	402
Chrysoula Marogianni	198 0.9×	97 0.6×	136 1.2×	132 2.5×	14 0.3×	18	444
Yu‐Hsuan Chuang	162 0.7×	59 0.4×	198 1.8×	32 0.6×	54 1.0×	16	430
Ya-Ni Huang	136 0.6×	71 0.4×	174 1.6×	88 1.7×	11 0.2×	10	425

Countries citing papers authored by V. R. Chandran

Since Specialization

Citations

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

Fields of papers citing papers by V. R. Chandran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. R. Chandran. 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 V. R. Chandran. The network helps show where V. R. Chandran may publish in the future.

Co-authorship network of co-authors of V. R. Chandran

This figure shows the co-authorship network connecting the top 25 collaborators of V. R. Chandran. A scholar is included among the top collaborators of V. R. Chandran 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 V. R. Chandran. V. R. Chandran 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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