Smita Kumar

3.4k total citations · 1 hit paper
31 papers, 2.5k citations indexed

About

Smita Kumar is a scholar working on Environmental Chemistry, Plant Science and Molecular Biology. According to data from OpenAlex, Smita Kumar has authored 31 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Chemistry, 14 papers in Plant Science and 13 papers in Molecular Biology. Recurrent topics in Smita Kumar's work include Arsenic contamination and mitigation (14 papers), Plant Stress Responses and Tolerance (11 papers) and Selenium in Biological Systems (9 papers). Smita Kumar is often cited by papers focused on Arsenic contamination and mitigation (14 papers), Plant Stress Responses and Tolerance (11 papers) and Selenium in Biological Systems (9 papers). Smita Kumar collaborates with scholars based in India, United States and Canada. Smita Kumar's co-authors include Prabodh Kumar Trivedi, Rudra Deo Tripathi, Debasis Chakrabarty, Mehar Hasan Asif, R. S. Dubey, Manju Shri, Rakesh Tuli, Devesh Shukla, Seema Mishra and Amit Kumar and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Smita Kumar

29 papers receiving 2.4k citations

Hit Papers

Glutathione S-Transferase... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Smita Kumar 1.6k 1.1k 645 623 341 31 2.5k
Won‐Yong Song 2.7k 1.7× 548 0.5× 863 1.3× 827 1.3× 266 0.8× 38 3.5k
Manju Shri 1.1k 0.6× 766 0.7× 278 0.4× 503 0.8× 199 0.6× 22 1.6k
Mi Ma 1.2k 0.7× 442 0.4× 404 0.6× 540 0.9× 153 0.4× 52 1.8k
Zhongchang Wu 3.2k 2.0× 590 0.5× 629 1.0× 308 0.5× 143 0.4× 41 3.6k
Suchi Srivastava 1.9k 1.2× 319 0.3× 376 0.6× 760 1.2× 84 0.2× 70 2.7k
Devesh Shukla 1.3k 0.8× 457 0.4× 273 0.4× 310 0.5× 141 0.4× 29 1.6k
Donghwi Ko 1.4k 0.8× 277 0.3× 620 1.0× 342 0.5× 126 0.4× 15 1.9k
Byung‐Hyun Lee 2.2k 1.3× 245 0.2× 1.1k 1.7× 334 0.5× 121 0.4× 63 2.8k
Manish Tiwari 1.4k 0.8× 339 0.3× 718 1.1× 277 0.4× 115 0.3× 34 2.1k
Tushar Kanti Maiti 1.3k 0.8× 212 0.2× 431 0.7× 461 0.7× 83 0.2× 63 2.2k

Countries citing papers authored by Smita Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Smita Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smita Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Smita Kumar. A scholar is included among the top collaborators of Smita Kumar 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 Smita Kumar. Smita Kumar 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.
Powell, Michael D., Patrick H. Fleming, V. Krishna, et al.. (2025). Intel Xeon 6 Product Family. IEEE Micro. 45(3). 31–40.
3.
Kumar, Smita, et al.. (2020). An Overview of Morpho-Physiological, Biochemical, and Molecular Responses of Sorghum Towards Heavy Metal Stress. Reviews of Environmental Contamination and Toxicology. 256. 155–177. 6 indexed citations
4.
Kumar, Smita, et al.. (2019). Arsenic-responsive high-affinity rice sulphate transporter, OsSultr1;1, provides abiotic stress tolerance under limiting sulphur condition. Journal of Hazardous Materials. 373. 753–762. 28 indexed citations
5.
Kumar, Smita & Prabodh Kumar Trivedi. (2018). Glutathione S-Transferases: Role in Combating Abiotic Stresses Including Arsenic Detoxification in Plants. Frontiers in Plant Science. 9. 751–751. 334 indexed citations breakdown →
8.
Dixit, Garima, Amit Singh, Amit Kumar, et al.. (2015). Reduced arsenic accumulation in rice (Oryza sativa L.) shoot involves sulfur mediated improved thiol metabolism, antioxidant system and altered arsenic transporters. Plant Physiology and Biochemistry. 99. 86–96. 123 indexed citations
9.
Kumar, Smita, Mehar Hasan Asif, Debasis Chakrabarty, et al.. (2015). Comprehensive analysis of regulatory elements of the promoters of rice sulfate transporter gene family and functional characterization ofOsSul1;1promoter under different metal stress. Plant Signaling & Behavior. 10(4). e990843–e990843. 19 indexed citations
10.
Dixit, Garima, Amit Singh, Amit Kumar, et al.. (2015). Sulfur mediated reduction of arsenic toxicity involves efficient thiol metabolism and the antioxidant defense system in rice. Journal of Hazardous Materials. 298. 241–251. 154 indexed citations
11.
Dixit, Garima, Amit Singh, Amit Kumar, et al.. (2015). Sulfur alleviates arsenic toxicity by reducing its accumulation and modulating proteome, amino acids and thiol metabolism in rice leaves. Scientific Reports. 5(1). 16205–16205. 87 indexed citations
12.
Kumar, Smita, R. S. Dubey, Rudra Deo Tripathi, Debasis Chakrabarty, & Prabodh Kumar Trivedi. (2014). Omics and biotechnology of arsenic stress and detoxification in plants: Current updates and prospective. Environment International. 74. 221–230. 166 indexed citations
13.
Kumar, Smita, Mehar Hasan Asif, Debasis Chakrabarty, et al.. (2013). Expression of a rice Lambda class of glutathione S-transferase, OsGSTL2, in Arabidopsis provides tolerance to heavy metal and other abiotic stresses. Journal of Hazardous Materials. 248-249. 228–237. 190 indexed citations
14.
Shri, Manju, Arti Rai, Pankaj Verma, et al.. (2012). An improved Agrobacterium-mediated transformation of recalcitrant indica rice (Oryza sativa L.) cultivars. PROTOPLASMA. 250(2). 631–636. 33 indexed citations
15.
Dey, Aparajita & Smita Kumar. (2011). Cytochrome P450 2E1 and hyperglycemia-induced liver injury. Cell Biology and Toxicology. 27(4). 285–310. 18 indexed citations
16.
Dubey, Sonali, Prashant Misra, Sanjay Dwivedi, et al.. (2010). Transcriptomic and metabolomic shifts in rice roots in response to Cr (VI) stress. BMC Genomics. 11(1). 648–648. 147 indexed citations
17.
Chakrabarty, Debasis, Prabodh Kumar Trivedi, Manju Shri, et al.. (2009). Differential transcriptional expression following thidiazuron-induced callus differentiation developmental shifts in rice. Plant Biology. 12(1). 46–59. 22 indexed citations
18.
Chakrabarty, Debasis, Prabodh Kumar Trivedi, Prashant Misra, et al.. (2008). Comparative transcriptome analysis of arsenate and arsenite stresses in rice seedlings. Chemosphere. 74(5). 688–702. 205 indexed citations
19.
Shri, Manju, Smita Kumar, Debasis Chakrabarty, et al.. (2008). Effect of arsenic on growth, oxidative stress, and antioxidant system in rice seedlings. Ecotoxicology and Environmental Safety. 72(4). 1102–1110. 356 indexed citations
20.
Kumar, Smita & H. C. Pant. (1990). Purification of inhibitor(s) from buffalo follicular fluid to compensatory ovarian hypertrophy in mice.. 11(2). 135–140. 2 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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