Gaurav Chopra

54 papers and 2.0k indexed citations i.

About

Gaurav Chopra is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Gaurav Chopra has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 12 papers in Materials Chemistry. Recurrent topics in Gaurav Chopra’s work include Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (7 papers). Gaurav Chopra is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (7 papers). Gaurav Chopra collaborates with scholars based in United States, India and United Kingdom. Gaurav Chopra's co-authors include Jeffrey A. Bluestone, Ynes Helou, Jonathan H. Esensten, Arthur Weiss, Michael Levitt, Jonathan Fine, Ram Samudrala, João Rodrigues, Christopher M. Summa and Krupal P. Jethava and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Co-authorship network of co-authors of Gaurav Chopra i

Fields of papers citing papers by Gaurav Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaurav Chopra

Since Specialization
Citations

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

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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