Vikramjit Chopra

21 total papers · 1.1k total citations
11 papers, 821 citations indexed

About

Vikramjit Chopra is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Vikramjit Chopra has authored 11 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Vikramjit Chopra's work include Genetic Neurodegenerative Diseases (3 papers), Cellular transport and secretion (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). Vikramjit Chopra is often cited by papers focused on Genetic Neurodegenerative Diseases (3 papers), Cellular transport and secretion (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). Vikramjit Chopra collaborates with scholars based in Canada, United States and United Kingdom. Vikramjit Chopra's co-authors include Michael R. Hayden, Åsa E.Y. Engqvist-Goldstein, David G. Drubin, Clare L. Beasley, Christa Hercher, Martina Metzler, Michael M. Kessels, Valérie Legendre‐Guillemin, Peter S. McPherson and Robert A. Holt and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Free Radical Biology and Medicine.

In The Last Decade

Vikramjit Chopra

11 papers receiving 802 citations

Author Peers

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

Author Last Decade Papers Cites
Vikramjit Chopra 512 298 226 103 73 11 821
Parizad M. Bilimoria 552 1.1× 196 0.7× 299 1.3× 142 1.4× 151 2.1× 13 1.0k
Ilaria Ceglia 381 0.7× 126 0.4× 435 1.9× 66 0.6× 98 1.3× 13 889
Pei-Yi Lin 454 0.9× 105 0.4× 227 1.0× 81 0.8× 55 0.8× 21 892
Y Peng Loh 385 0.8× 231 0.8× 229 1.0× 49 0.5× 38 0.5× 16 782
Fred H. Gage 559 1.1× 143 0.5× 277 1.2× 128 1.2× 79 1.1× 10 971
Huang-Chun Tseng 521 1.0× 224 0.8× 272 1.2× 114 1.1× 80 1.1× 8 954
Rui Gomes 607 1.2× 462 1.6× 116 0.5× 47 0.5× 129 1.8× 17 967
Yoichi Kushima 405 0.8× 246 0.8× 355 1.6× 53 0.5× 219 3.0× 19 901
Takao Hikita 592 1.2× 205 0.7× 285 1.3× 128 1.2× 32 0.4× 28 1.0k
Tsu‐Wei Wang 422 0.8× 157 0.5× 251 1.1× 111 1.1× 108 1.5× 27 939

Countries citing papers authored by Vikramjit Chopra

Since Specialization
Citations

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

Fields of papers citing papers by Vikramjit Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikramjit Chopra

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