Amit V. Pandey

240 total papers · 6.0k total citations
118 papers, 3.6k citations indexed

About

Amit V. Pandey is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Amit V. Pandey has authored 118 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 38 papers in Endocrinology, Diabetes and Metabolism and 34 papers in Pharmacology. Recurrent topics in Amit V. Pandey's work include Pharmacogenetics and Drug Metabolism (33 papers), Sexual Differentiation and Disorders (30 papers) and Drug Transport and Resistance Mechanisms (17 papers). Amit V. Pandey is often cited by papers focused on Pharmacogenetics and Drug Metabolism (33 papers), Sexual Differentiation and Disorders (30 papers) and Drug Transport and Resistance Mechanisms (17 papers). Amit V. Pandey collaborates with scholars based in Switzerland, India and United States. Amit V. Pandey's co-authors include Christa E. Flück, Walter L. Miller, Virander S. Chauhan, Primus E. Mullis, Ram Lakhan Singh, Ethylin Wang Jabs, Shaheena Parween, Babu L. Tekwani, Babu L. Tekwani and Sameer S. Udhane and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Amit V. Pandey

113 papers receiving 3.6k citations

Author Peers

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

Author Last Decade Papers Cites
Amit V. Pandey 1.8k 1.0k 1.0k 920 508 118 3.6k
Julie F. Foley 2.6k 1.4× 812 0.8× 943 0.9× 639 0.7× 195 0.4× 128 6.3k
Debashis Ghosh 2.9k 1.6× 667 0.6× 1.1k 1.0× 1.5k 1.6× 81 0.2× 88 5.2k
Enrico Garattini 3.9k 2.1× 622 0.6× 439 0.4× 675 0.7× 201 0.4× 158 5.5k
Dean W. Hum 2.8k 1.5× 1.8k 1.7× 1.5k 1.4× 1.1k 1.2× 190 0.4× 91 5.9k
Hans Glaumann 1.9k 1.0× 856 0.8× 648 0.6× 471 0.5× 157 0.3× 210 7.3k
Olivier Barbier 2.9k 1.6× 1.3k 1.3× 862 0.8× 651 0.7× 205 0.4× 130 6.3k
Masuhiro Nishimura 1.1k 0.6× 880 0.9× 302 0.3× 338 0.4× 154 0.3× 94 3.4k
Bandana Chatterjee 1.8k 1.0× 505 0.5× 845 0.8× 805 0.9× 102 0.2× 97 3.7k
Hans Jörnvall 2.9k 1.5× 303 0.3× 562 0.6× 504 0.5× 175 0.3× 97 4.6k
Bingfang Yan 2.0k 1.1× 1.3k 1.3× 513 0.5× 404 0.4× 140 0.3× 108 5.7k

Countries citing papers authored by Amit V. Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Amit V. Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit V. Pandey

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