Deepak Chopra

115 total papers · 2.0k total citations
57 papers, 1.3k citations indexed

About

Deepak Chopra is a scholar working on Physiology, Complementary and alternative medicine and Clinical Psychology. According to data from OpenAlex, Deepak Chopra has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 10 papers in Complementary and alternative medicine and 9 papers in Clinical Psychology. Recurrent topics in Deepak Chopra's work include Complementary and Alternative Medicine Studies (8 papers), Mindfulness and Compassion Interventions (8 papers) and Biofield Effects and Biophysics (5 papers). Deepak Chopra is often cited by papers focused on Complementary and Alternative Medicine Studies (8 papers), Mindfulness and Compassion Interventions (8 papers) and Biofield Effects and Biophysics (5 papers). Deepak Chopra collaborates with scholars based in United States, India and Canada. Deepak Chopra's co-authors include Christine Tara Peterson, Paul J. Mills, Scott N. Peterson, Rudolph E. Tanzi, Vandana Sharma, Travis J. A. Craddock, Jack A. Tuszyński, Stuart R. Hameroff, Lee E. Goldstein and Noel Casey and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Deepak Chopra

52 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Deepak Chopra 262 242 232 178 112 57 1.3k
Cornelia M. Ulrich 273 1.0× 208 0.9× 138 0.6× 159 0.9× 97 0.9× 34 1.5k
Heather Zwickey 132 0.5× 209 0.9× 223 1.0× 137 0.8× 48 0.4× 66 1.1k
Agha Fatemeh Hosseini 216 0.8× 225 0.9× 174 0.8× 98 0.6× 122 1.1× 113 1.5k
Christian S. Keßler 523 2.0× 234 1.0× 256 1.1× 199 1.1× 91 0.8× 92 1.7k
Christine Tara Peterson 286 1.1× 792 3.3× 246 1.1× 193 1.1× 133 1.2× 33 1.8k
E. Paul Cherniack 156 0.6× 92 0.4× 177 0.8× 153 0.9× 81 0.7× 48 1.3k
Young Hee Kim 257 1.0× 305 1.3× 98 0.4× 84 0.5× 55 0.5× 88 1.2k
Ryan Bradley 237 0.9× 356 1.5× 327 1.4× 99 0.6× 138 1.2× 106 1.6k
Andries S. Koster 313 1.2× 339 1.4× 114 0.5× 68 0.4× 89 0.8× 91 1.8k
Sadia Saleem 181 0.7× 159 0.7× 82 0.4× 182 1.0× 127 1.1× 99 1.1k

Countries citing papers authored by Deepak Chopra

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Chopra

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Chopra. A scholar is included among the top collaborators of Deepak 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 Deepak Chopra. Deepak 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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2026