Prem Prashant Chaudhary

58 total papers · 1.4k total citations
44 papers, 1.0k citations indexed

About

Prem Prashant Chaudhary is a scholar working on Molecular Biology, Dermatology and Ecology. According to data from OpenAlex, Prem Prashant Chaudhary has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Dermatology and 10 papers in Ecology. Recurrent topics in Prem Prashant Chaudhary's work include Gut microbiota and health (13 papers), Dermatology and Skin Diseases (10 papers) and Methane Hydrates and Related Phenomena (8 papers). Prem Prashant Chaudhary is often cited by papers focused on Gut microbiota and health (13 papers), Dermatology and Skin Diseases (10 papers) and Methane Hydrates and Related Phenomena (8 papers). Prem Prashant Chaudhary collaborates with scholars based in United States, India and France. Prem Prashant Chaudhary's co-authors include Paola Rogliani, Manfredi Tesauro, Joel Moss, Walter C. Thompson, Lin Qi, Sunil Sirohi, Jørgen Schlundt, Patricia L. Conway, Martin Rulı́k and Nadia Gaci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Prem Prashant Chaudhary

42 papers receiving 1000 citations

Author Peers

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

Author Last Decade Papers Cites
Prem Prashant Chaudhary 336 313 245 134 123 44 1.0k
Robert H. Harris 83 0.2× 188 0.6× 30 0.1× 43 0.3× 58 0.5× 57 1.0k
Carolina Guzmán 179 0.5× 177 0.6× 19 0.1× 71 0.5× 14 0.1× 47 1.2k
Yanqing Zhang 103 0.3× 358 1.1× 137 0.6× 35 0.3× 24 0.2× 78 1.2k
Yanli Zhou 36 0.1× 336 1.1× 142 0.6× 37 0.3× 73 0.6× 74 1.1k
Miao Zhang 173 0.5× 389 1.2× 76 0.3× 103 0.8× 7 0.1× 43 1.0k
Mingliang Zhang 229 0.7× 429 1.4× 72 0.3× 105 0.8× 20 0.2× 67 1.2k
Sachiko Nakamura 215 0.6× 370 1.2× 80 0.3× 61 0.5× 33 0.3× 53 1.2k
Jiachun Zhang 115 0.3× 422 1.3× 28 0.1× 37 0.3× 24 0.2× 42 1.1k
Anja Ziegler 87 0.3× 301 1.0× 17 0.1× 75 0.6× 34 0.3× 18 937
Ole Kim Hansen 42 0.1× 209 0.7× 254 1.0× 25 0.2× 37 0.3× 66 1.0k

Countries citing papers authored by Prem Prashant Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Prem Prashant Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prem Prashant Chaudhary. 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 Prem Prashant Chaudhary. The network helps show where Prem Prashant Chaudhary may publish in the future.

Co-authorship network of co-authors of Prem Prashant Chaudhary

This figure shows the co-authorship network connecting the top 25 collaborators of Prem Prashant Chaudhary. A scholar is included among the top collaborators of Prem Prashant Chaudhary 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 Prem Prashant Chaudhary. Prem Prashant Chaudhary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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