Supriya Kumari

1.7k total citations
45 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 45 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, France and Hungary. Supriya Kumari's co-authors include Surajit Das, Neelam Mangwani, Hirak Ranjan Dash, Jaya Chakraborty, 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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supriya Kumari India 17 430 381 276 191 181 45 1.1k
Neelam Mangwani India 17 427 1.0× 459 1.2× 279 1.0× 250 1.3× 87 0.5× 23 1.2k
Francesca Decorosi Italy 22 267 0.6× 440 1.2× 307 1.1× 228 1.2× 270 1.5× 47 1.4k
Weihong Zhong China 21 416 1.0× 638 1.7× 256 0.9× 202 1.1× 175 1.0× 89 1.6k
Yasuhiro Tanaka Japan 24 326 0.8× 393 1.0× 143 0.5× 444 2.3× 239 1.3× 59 1.4k
Qingxiang Yang China 25 1.1k 2.6× 304 0.8× 262 0.9× 294 1.5× 202 1.1× 63 1.8k
Ana Rita Lopes Portugal 19 386 0.9× 238 0.6× 163 0.6× 190 1.0× 148 0.8× 40 1.2k
Likai Mao Australia 14 988 2.3× 573 1.5× 172 0.6× 181 0.9× 112 0.6× 18 1.6k
Ramganesh Selvarajan South Africa 22 551 1.3× 304 0.8× 265 1.0× 379 2.0× 133 0.7× 74 1.6k
Jaya Chakraborty India 13 339 0.8× 208 0.5× 244 0.9× 192 1.0× 89 0.5× 16 879
Yu Dai China 27 936 2.2× 442 1.2× 290 1.1× 517 2.7× 226 1.2× 61 2.1k

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

20 of 20 papers shown
1.
Kumari, Supriya, Seshan Srirangarajan, & Vimal Bhatia. (2024). Performance Analysis of RIS-Assisted Alamouti STBC Scheme. IEEE Wireless Communications Letters. 13(12). 3454–3458.
2.
Amrita, Amrita, et al.. (2024). Effectiveness of Evening Primrose and Vitamin E for Cyclical Mastalgia: A Prospective Study. Cureus. 16(4). e58055–e58055.
3.
Jaiswal, Dinesh Kumar, et al.. (2023). Genome-Wide Urea Response in Rice Genotypes Contrasting for Nitrogen Use Efficiency. International Journal of Molecular Sciences. 24(7). 6080–6080. 4 indexed citations
4.
Kumari, Supriya, Seshan Srirangarajan, & Vimal Bhatia. (2023). STAR-RIS Assisted NOMA with Receive Spatial Modulation. 1–5.
5.
Kumari, Supriya, et al.. (2023). N-Salicyl-AAn-picolamide Foldameric Peptides Exhibit Quorum Sensing Inhibition of Pseudomonas aeruginosa (PA14). ACS Omega. 8(33). 30349–30358. 4 indexed citations
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9.
Kumari, Supriya, et al.. (2021). Meta-Analysis of Yield-Related and N-Responsive Genes Reveals Chromosomal Hotspots, Key Processes and Candidate Genes for Nitrogen-Use Efficiency in Rice. Frontiers in Plant Science. 12. 627955–627955. 25 indexed citations
10.
Chatterjee, Shreosi, Supriya Kumari, Sonalin Rath, Monika Priyadarshanee, & Surajit Das. (2020). Diversity, structure and regulation of microbial metallothionein: metal resistance and possible applications in sequestration of toxic metals. Metallomics. 12(11). 1637–1655. 69 indexed citations
11.
Kumari, Supriya & Surajit Das. (2019). Expression of metallothionein encoding gene bmtA in biofilm-forming marine bacterium Pseudomonas aeruginosa N6P6 and understanding its involvement in Pb(II) resistance and bioremediation. Environmental Science and Pollution Research. 26(28). 28763–28774. 49 indexed citations
12.
Mawatwal, Shradha, Supriya Kumari, Santanab Giri, et al.. (2018). Half sandwich based rhodamine ‐ hydrazone single molecule probe: Light responsive, metal sensing and imaging properties. Applied Organometallic Chemistry. 32(12). 12 indexed citations
13.
Mangwani, Neelam, Supriya Kumari, & Surajit Das. (2017). Marine Bacterial Biofilms in Bioremediation of Polycyclic Aromatic Hydrocarbons (PAHs) Under Terrestrial Condition in a Soil Microcosm. Pedosphere. 27(3). 548–558. 40 indexed citations
14.
Mangwani, Neelam, Supriya Kumari, & Surajit Das. (2016). Bacterial biofilms and quorum sensing: fidelity in bioremediation technology. Biotechnology and Genetic Engineering Reviews. 32(1-2). 43–73. 95 indexed citations
15.
Singh, Dharmendra, Supriya Kumari, Manish Kumar, et al.. (2016). De Novo Assembled Wheat Transcriptomes Delineate Differentially Expressed Host Genes in Response to Leaf Rust Infection. PLoS ONE. 11(2). e0148453–e0148453. 35 indexed citations
16.
Mangwani, Neelam, Supriya Kumari, & Surajit Das. (2016). Effect of synthetic N-acylhomoserine lactones on cell–cell interactions in marine Pseudomonas and biofilm mediated degradation of polycyclic aromatic hydrocarbons. Chemical Engineering Journal. 302. 172–186. 46 indexed citations
17.
Kumari, Supriya, Neelam Mangwani, & Surajit Das. (2016). Interaction of Pb(II) and biofilm associated extracellular polymeric substances of a marine bacterium Pseudomonas pseudoalcaligenes NP103. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 173. 655–665. 35 indexed citations
18.
Kumari, Supriya, Neelam Mangwani, & Surajit Das. (2015). Low-Voltage Producing Microbial Fuel Cell Constructs Using Biofilm-Forming Marine Bacteria. Current Science. 108(5). 925–932. 7 indexed citations
19.
Mangwani, Neelam, Supriya Kumari, Sudhir K. Shukla, T. Subba Rao, & Surajit Das. (2014). Phenotypic Switching in Biofilm-Forming Marine Bacterium Paenibacillus lautus NE3B01. Current Microbiology. 68(5). 648–656. 18 indexed citations
20.
Dash, Hirak Ranjan, Neelam Mangwani, Jaya Chakraborty, Supriya Kumari, & Surajit Das. (2012). Marine bacteria: potential candidates for enhanced bioremediation. Applied Microbiology and Biotechnology. 97(2). 561–571. 176 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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