Bhupendra Chaudhary

1.6k total citations
59 papers, 1.1k citations indexed

About

Bhupendra Chaudhary is a scholar working on Plant Science, Molecular Biology and Biomaterials. According to data from OpenAlex, Bhupendra Chaudhary has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 27 papers in Molecular Biology and 5 papers in Biomaterials. Recurrent topics in Bhupendra Chaudhary's work include Research in Cotton Cultivation (16 papers), Plant Molecular Biology Research (14 papers) and Plant Reproductive Biology (13 papers). Bhupendra Chaudhary is often cited by papers focused on Research in Cotton Cultivation (16 papers), Plant Molecular Biology Research (14 papers) and Plant Reproductive Biology (13 papers). Bhupendra Chaudhary collaborates with scholars based in India, United States and Israel. Bhupendra Chaudhary's co-authors include Jonathan F. Wendel, Lex Flagel, Joshua A. Udall, Ran Hovav, Dhananjay K. Pandey, Neetu Verma, Ryan A. Rapp, Nathan M. Springer, Robert M. Stupar and Einat Hovav and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and PLoS Genetics.

In The Last Decade

Bhupendra Chaudhary

54 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bhupendra Chaudhary India 16 891 513 79 57 49 59 1.1k
Lifang Zou China 23 1.4k 1.6× 406 0.8× 41 0.5× 28 0.5× 48 1.0× 69 1.6k
Zhaoen Yang China 24 1.7k 1.9× 1.1k 2.1× 73 0.9× 48 0.8× 26 0.5× 55 1.9k
Kyung‐Hee Paek South Korea 13 1.1k 1.2× 669 1.3× 38 0.5× 33 0.6× 67 1.4× 20 1.3k
Ruyi Wang China 18 1.3k 1.4× 687 1.3× 109 1.4× 29 0.5× 33 0.7× 50 1.5k
Yizan Ma China 17 988 1.1× 738 1.4× 61 0.8× 57 1.0× 36 0.7× 29 1.1k
Wenliang Xu China 20 868 1.0× 656 1.3× 45 0.6× 20 0.4× 44 0.9× 42 1.2k
Robert A. Gonzales United States 22 690 0.8× 610 1.2× 207 2.6× 89 1.6× 75 1.5× 40 1.4k
Xuli Wang China 16 720 0.8× 359 0.7× 43 0.5× 50 0.9× 16 0.3× 28 891
Jiafu Tan China 18 1.2k 1.4× 812 1.6× 28 0.4× 26 0.5× 43 0.9× 27 1.4k
Ramón Suárez‐Rodríguez Mexico 15 840 0.9× 385 0.8× 37 0.5× 62 1.1× 55 1.1× 38 1.2k

Countries citing papers authored by Bhupendra Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Bhupendra Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhupendra Chaudhary

This figure shows the co-authorship network connecting the top 25 collaborators of Bhupendra Chaudhary. A scholar is included among the top collaborators of Bhupendra 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 Bhupendra Chaudhary. Bhupendra 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
1.
Gupta, Govind P., et al.. (2025). Exploring the Therapeutic Potential of Ashwagandha (Withania somnifera) in Alleviating Stress and Anxiety. Journal of Pharmaceutical Research International. 37(4). 116–126.
2.
Mehtab, Sameena, et al.. (2024). Structural insights into polyethylene terephthalate (PET)-degrading archaeal lipase enzyme: An insilico approach. Bioremediation Journal. 1–21. 1 indexed citations
3.
Chaudhary, Bhupendra, et al.. (2024). Comparative Transcriptomics Reveals Novel Spatial Gene Expression Profiles in Cotton (Gossypium hirsutum L.) Under Herbivory and Drought Stress. Journal of Plant Growth Regulation. 43(11). 4018–4037. 1 indexed citations
4.
Chaudhary, Bhupendra, et al.. (2024). Phylum-level studies of bacterial cutinases for unravelling enzymatic specificity toward PET degradation: an in silico approach. Brazilian Journal of Microbiology. 55(3). 2385–2400. 1 indexed citations
5.
Singh, Amarjeet, et al.. (2023). Coordination of floral and fiber development in cotton (Gossypium) by hormone- and flavonoid-signalling associated regulatory miRNAs. Plant Molecular Biology. 112(1-2). 1–18. 2 indexed citations
6.
7.
8.
Chaudhary, Bhupendra, et al.. (2021). Global expression dynamics and miRNA evolution profile govern floral/fiber architecture in the modern cotton (Gossypium). Planta. 254(3). 62–62. 9 indexed citations
9.
Yadav, Shashank Kumar, Vinjamuri Venkata Santosh Kumar, Rakesh Kumar Verma, et al.. (2020). Genome-wide identification and characterization of ABA receptor PYL gene family in rice. BMC Genomics. 21(1). 676–676. 80 indexed citations
10.
11.
Chaudhary, Bhupendra, et al.. (2020). Common invisible symptoms of multiple sclerosis. International Journal of Scientific Reports. 6(6). 223–223. 2 indexed citations
12.
Chaudhary, Bhupendra, et al.. (2020). Multiple sclerosis: making the invisibles visible. International Journal of Research in Medical Sciences. 8(6). 2371–2371. 1 indexed citations
13.
Pandey, Dhananjay K., et al.. (2019). Interspersed 5′cis-regulatory elements ascertain the spatio-temporal transcription of cytoskeletal profilin gene family in Arabidopsis. Computational Biology and Chemistry. 80. 177–186.
14.
Pandey, Dhananjay K., Atul Kumar, Jitendra Singh Rathore, N. Singh, & Bhupendra Chaudhary. (2017). Recombinant overexpression of dihydroneopterin aldolase catalyst potentially regulates folate‐biofortification. Journal of Basic Microbiology. 57(6). 517–524. 3 indexed citations
15.
Pandey, Dhananjay K. & Bhupendra Chaudhary. (2017). Evolutionary expansion and structural functionalism of the ancient family of profilin proteins. Gene. 626. 70–86. 25 indexed citations
16.
Pandey, Dhananjay K. & Bhupendra Chaudhary. (2016). A Botanist’s Cognitive View on Plant Growth: Cross-Talk between Developmental and Sensitivity Networks. American Journal of Plant Sciences. 7(15). 2307–2322. 1 indexed citations
17.
Chaudhary, Bhupendra, et al.. (2013). Lateral rectus palsy in a case of dengue fever. Medical Journal Armed Forces India. 71(Suppl 1). S101–S103. 7 indexed citations
18.
Chaudhary, Bhupendra, Pritam Chattopadhyay, Neetu Verma, & Nirmalya Banerjee. (2012). Understanding the Phylomorphological Implications of Pollinia from <i>Dendrobium</i> (Orchidaceae). American Journal of Plant Sciences. 3(6). 816–828. 2 indexed citations
19.
Chaudhary, Bhupendra, Lex Flagel, Robert M. Stupar, et al.. (2009). Reciprocal Silencing, Transcriptional Bias and Functional Divergence of Homeologs in Polyploid Cotton (Gossypium). Genetics. 182(2). 503–517. 181 indexed citations
20.
Hovav, Ran, Joshua A. Udall, Bhupendra Chaudhary, et al.. (2008). Partitioned expression of duplicated genes during development and evolution of a single cell in a polyploid plant. Proceedings of the National Academy of Sciences. 105(16). 6191–6195. 117 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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