Prem Prashant Chaudhary

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 Microbial Community Ecology and Physiology (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 Microbial Community Ecology and Physiology (8 papers). Prem Prashant Chaudhary collaborates with scholars based in United States, India and France. Prem Prashant Chaudhary's co-authors include Joel Moss, Walter C. Thompson, Manfredi Tesauro, Paola Rogliani, Lin Qi, Sunil Sirohi, Patricia L. Conway, Jørgen Schlundt, Martin Rulı́k and Jean‐François Brugère 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 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prem Prashant Chaudhary United States 13 338 316 245 134 123 44 1.0k
S. Ray Smith United States 22 265 0.8× 413 1.3× 99 0.4× 81 0.6× 195 1.6× 81 2.1k
Guolian Li China 18 198 0.6× 322 1.0× 94 0.4× 138 1.0× 85 0.7× 41 1.3k
Renata Guerra‐Sá Brazil 22 184 0.5× 496 1.6× 46 0.2× 50 0.4× 107 0.9× 69 1.4k
Robert H. Harris United States 19 84 0.2× 188 0.6× 30 0.1× 43 0.3× 58 0.5× 57 1.0k
Yanqing Zhang China 20 103 0.3× 361 1.1× 137 0.6× 35 0.3× 24 0.2× 79 1.2k
J. S. Mishra India 25 110 0.3× 497 1.6× 88 0.4× 146 1.1× 107 0.9× 171 2.2k
Anja Ziegler Switzerland 11 87 0.3× 301 1.0× 17 0.1× 75 0.6× 34 0.3× 18 939
Pengpeng Wang China 22 152 0.4× 417 1.3× 18 0.1× 16 0.1× 108 0.9× 138 1.6k
Dong Soo Kim South Korea 20 88 0.3× 207 0.7× 242 1.0× 65 0.5× 73 0.6× 138 1.4k

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.

All Works

20 of 20 papers shown
2.
Chaudhary, Prem Prashant, et al.. (2024). The circadian metabolome of atopic dermatitis. Journal of Allergy and Clinical Immunology. 153(4). 1148–1154. 6 indexed citations
3.
Chaudhary, Prem Prashant, et al.. (2024). Derivation of novel metabolic pathway score identifies alanine metabolism as a targetable influencer of TNF-alpha signaling. Heliyon. 10(13). e33502–e33502. 3 indexed citations
4.
Chaudhary, Prem Prashant, et al.. (2024). Spatial modeling connecting childhood atopic dermatitis prevalence with household exposure to pollutants. SHILAP Revista de lepidopterología. 4(1). 74–74. 5 indexed citations
6.
Chaudhary, Prem Prashant, Portia Gough, Andrew J. Ghio, et al.. (2023). Exposure to isocyanates predicts atopic dermatitis prevalence and disrupts therapeutic pathways in commensal bacteria. Science Advances. 9(1). eade8898–eade8898. 18 indexed citations
7.
Barbian, Kent, Daniel Bruno, Stacy Ricklefs, et al.. (2023). De novo assembly of Roseomonas mucosa isolated from patients with atopic dermatitis. Microbiology Resource Announcements. 12(11). e0052123–e0052123. 1 indexed citations
8.
Barbian, Kent, Daniel Bruno, Stacy Ricklefs, et al.. (2023). De novo assembly of Roseomonas mucosa isolates from healthy human volunteers used to treat atopic dermatitis. Microbiology Resource Announcements. 12(11). e0052023–e0052023.
9.
Chen, Liwei, Tingting Zheng, Yifan Yang, et al.. (2022). Integrative multiomics analysis reveals host-microbe-metabolite interplays associated with the aging process in Singaporeans. Gut Microbes. 14(1). 2070392–2070392. 10 indexed citations
10.
Blaser, Martin, et al.. (2019). Sediment methane dynamics along the Elbe River. Limnologica. 79. 125716–125716. 8 indexed citations
11.
Gaci, Nadia, Prem Prashant Chaudhary, William Tottey, Monique Alric, & Jean‐François Brugère. (2017). Functional amplification and preservation of human gut microbiota. Microbial Ecology in Health and Disease. 28(1). 1308070–1308070. 12 indexed citations
12.
Chaudhary, Prem Prashant, Martin Rulı́k, & Martin Blaser. (2017). Is the methanogenic community reflecting the methane emissions of river sediments?—comparison of two study sites. MicrobiologyOpen. 6(4). 15 indexed citations
13.
Blaser, Martin, et al.. (2015). Methane production potentials, pathways, and communities of methanogens in vertical sediment profiles of river Sitka. Frontiers in Microbiology. 6. 506–506. 44 indexed citations
14.
Sirohi, Sunil, Sumit Singh Dagar, Nasib Singh, et al.. (2013). Differential Rumen Microbial Dynamics and Fermentation Parameters in Cattle Fed on High Fibre and High Concentrate Diets. Indian Journal of Animal Nutrition. 30(1). 60–66. 4 indexed citations
15.
Sirohi, Sunil, Prem Prashant Chaudhary, Nasib Singh, Dheer Singh, & Anil Kumar Puniya. (2013). The 16S rRNA and mcrA gene based comparative diversity of methanogens in cattle fed on high fibre based diet. Gene. 523(2). 161–166. 23 indexed citations
16.
Chaudhary, Prem Prashant, et al.. (2013). Molecular diversity and tools for deciphering the methanogen community structure and diversity in freshwater sediments. Applied Microbiology and Biotechnology. 97(17). 7553–7562. 24 indexed citations
17.
Chaudhary, Prem Prashant, Sumit Singh Dagar, & Sunil Sirohi. (2012). Comparative quantification of major rumen microbial population in Indian Cattle and Buffalo fed on wheat straws based diet. 2 indexed citations
18.
Sirohi, Sunil, et al.. (2011). Efficacy of different plant part combinations as rumen fermentation modulator in wheat straw based diet evaluated in vitro. Annals of biological research. 2(6). 91–96. 1 indexed citations
19.
Chaudhary, Prem Prashant, et al.. (2011). Methyl coenzyme M reductase (mcrA) gene based phylogenetic analysis of methanogens population in Murrah buffaloes (Bubalus bubalis). The Journal of Microbiology. 49(4). 558–561. 11 indexed citations
20.
Sharma, Ashwani Kumar, Prem Prashant Chaudhary, Sunil Sirohi, & Jyoti Saxena. (2011). Structure modeling and inhibitor prediction of NADP oxidoreductase enzyme from Methanobrevibacter smithii. Bioinformation. 6(1). 15–19. 16 indexed citations

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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