Raman Chopra

12 total papers · 561 total citations
5 papers, 453 citations indexed

About

Raman Chopra is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Raman Chopra has authored 5 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Raman Chopra's work include Genetic Neurodegenerative Diseases (4 papers), Ubiquitin and proteasome pathways (2 papers) and Mitochondrial Function and Pathology (2 papers). Raman Chopra is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), Ubiquitin and proteasome pathways (2 papers) and Mitochondrial Function and Pathology (2 papers). Raman Chopra collaborates with scholars based in United States, Australia and India. Raman Chopra's co-authors include Steven M. Hersch, Jonathan H. Fox, Robert J. Ferrante, Vanita Chopra, Bhupinder Singh, Birgit Zucker, Jibrin Kama, Irene Volitakis, Robert A. Cherny and Ashley I. Bush and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Raman Chopra

5 papers receiving 449 citations

Author Peers

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

Author Last Decade Papers Cites
Raman Chopra 290 217 86 84 65 5 453
E. Danciger 285 1.0× 105 0.5× 112 1.3× 75 0.9× 54 0.8× 11 540
Sabine Borwege 199 0.7× 182 0.8× 46 0.5× 134 1.6× 72 1.1× 4 506
Meghan C. McCord 214 0.7× 115 0.5× 104 1.2× 24 0.3× 118 1.8× 8 417
Clarissa J. Liew 160 0.6× 116 0.5× 181 2.1× 37 0.4× 56 0.9× 9 474
Elzbieta M. Smyk-Randall 280 1.0× 203 0.9× 37 0.4× 42 0.5× 28 0.4× 8 474
Jayden Lee 141 0.5× 173 0.8× 28 0.3× 78 0.9× 96 1.5× 5 414
Valérie Heidinger 323 1.1× 304 1.4× 51 0.6× 17 0.2× 41 0.6× 9 496
F. Trippi 223 0.8× 61 0.3× 34 0.4× 86 1.0× 197 3.0× 5 499
Fernanda Martins Lopes 256 0.9× 132 0.6× 24 0.3× 121 1.4× 74 1.1× 8 524
Seila Fernández-Fernández 226 0.8× 89 0.4× 37 0.4× 34 0.4× 101 1.6× 6 495

Countries citing papers authored by Raman Chopra

Since Specialization
Citations

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

Fields of papers citing papers by Raman Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raman Chopra

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