Darshna Chaudhary

39 total papers · 760 total citations
28 papers, 493 citations indexed

About

Darshna Chaudhary is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Darshna Chaudhary has authored 28 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 18 papers in Molecular Biology and 8 papers in Biotechnology. Recurrent topics in Darshna Chaudhary's work include Plant tissue culture and regeneration (12 papers), Plant Genetic and Mutation Studies (8 papers) and Transgenic Plants and Applications (8 papers). Darshna Chaudhary is often cited by papers focused on Plant tissue culture and regeneration (12 papers), Plant Genetic and Mutation Studies (8 papers) and Transgenic Plants and Applications (8 papers). Darshna Chaudhary collaborates with scholars based in India, United States and Canada. Darshna Chaudhary's co-authors include Pawan K. Jaiwal, Manish Sainger, Ranjana Jaiwal, Kapil Malik, Manju Yadav, Jyoti Yadav, Anil Kumar Chhillar, S. Subramanian, Anil Kumar and Sudesh Chhikara and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Critical Reviews in Food Science and Nutrition and Plant Cell Reports.

In The Last Decade

Darshna Chaudhary

27 papers receiving 487 citations

Author Peers

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

Author Last Decade Papers Cites
Darshna Chaudhary 340 262 58 35 31 28 493
T.L. Buhr 207 0.6× 257 1.0× 52 0.9× 28 0.8× 75 2.4× 21 448
Xinxin Yang 242 0.7× 261 1.0× 39 0.7× 34 1.0× 6 0.2× 30 545
Wei He 204 0.6× 242 0.9× 23 0.4× 30 0.9× 12 0.4× 49 531
Xiangnan Zhang 246 0.7× 238 0.9× 62 1.1× 44 1.3× 10 0.3× 19 476
Liangjie Niu 348 1.0× 175 0.7× 20 0.3× 26 0.7× 16 0.5× 27 505
Shuai Li 235 0.7× 175 0.7× 31 0.5× 26 0.7× 9 0.3× 40 412
Xin Jin 330 1.0× 299 1.1× 15 0.3× 17 0.5× 13 0.4× 19 540
Rajesh Kumar Gazara 259 0.8× 185 0.7× 57 1.0× 10 0.3× 13 0.4× 20 460
Hong Tan 216 0.6× 288 1.1× 68 1.2× 67 1.9× 5 0.2× 39 526
Ratiboot Sallabhan 135 0.4× 230 0.9× 18 0.3× 73 2.1× 17 0.5× 23 502

Countries citing papers authored by Darshna Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Darshna Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darshna Chaudhary

This figure shows the co-authorship network connecting the top 25 collaborators of Darshna Chaudhary. A scholar is included among the top collaborators of Darshna 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 Darshna Chaudhary. Darshna Chaudhary 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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