Supriya Kumari

98 total papers · 1.7k total citations
44 papers, 1.1k citations indexed

About

Supriya Kumari is a scholar working on Molecular Biology, Pollution and Plant Science. According to data from OpenAlex, Supriya Kumari has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Pollution and 7 papers in Plant Science. Recurrent topics in Supriya Kumari's work include Bacterial biofilms and quorum sensing (11 papers), Microbial bioremediation and biosurfactants (7 papers) and Microbial Community Ecology and Physiology (6 papers). Supriya Kumari is often cited by papers focused on Bacterial biofilms and quorum sensing (11 papers), Microbial bioremediation and biosurfactants (7 papers) and Microbial Community Ecology and Physiology (6 papers). Supriya Kumari collaborates with scholars based in India, China and Germany. Supriya Kumari's co-authors include Surajit Das, Neelam Mangwani, Jaya Chakraborty, Hirak Ranjan Dash, T. Subba Rao, Sudhir K. Shukla, Monika Priyadarshanee, Sonalin Rath, Shreosi Chatterjee and Nandula Raghuram and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and International Journal of Molecular Sciences.

In The Last Decade

Supriya Kumari

39 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Supriya Kumari 422 379 275 191 176 44 1.1k
Francesca Decorosi 265 0.6× 439 1.2× 306 1.1× 228 1.2× 270 1.5× 47 1.4k
Neelam Mangwani 424 1.0× 457 1.2× 279 1.0× 250 1.3× 84 0.5× 23 1.2k
Shaopo Deng 726 1.7× 189 0.5× 266 1.0× 146 0.8× 153 0.9× 62 1.4k
Yasuhiro Tanaka 326 0.8× 390 1.0× 143 0.5× 442 2.3× 238 1.4× 59 1.4k
Dayananda Siddavattam 514 1.2× 382 1.0× 182 0.7× 112 0.6× 212 1.2× 50 1.1k
Ana Rita Lopes 383 0.9× 238 0.6× 161 0.6× 189 1.0× 147 0.8× 40 1.2k
Kun Wan 346 0.8× 371 1.0× 226 0.8× 75 0.4× 74 0.4× 54 1.5k
Sami Mnif 626 1.5× 393 1.0× 171 0.6× 205 1.1× 162 0.9× 46 1.3k
Ying Zhang 433 1.0× 236 0.6× 157 0.6× 255 1.3× 158 0.9× 42 960
Łukasz Drewniak 340 0.8× 269 0.7× 297 1.1× 246 1.3× 141 0.8× 72 1.5k

Countries citing papers authored by Supriya Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Supriya Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Kumari

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