Madhumita Roy

2.3k total citations
71 papers, 1.8k citations indexed

About

Madhumita Roy is a scholar working on Molecular Biology, Environmental Chemistry and Pathology and Forensic Medicine. According to data from OpenAlex, Madhumita Roy has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 14 papers in Environmental Chemistry and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Madhumita Roy's work include Arsenic contamination and mitigation (14 papers), Genomics, phytochemicals, and oxidative stress (12 papers) and Tea Polyphenols and Effects (9 papers). Madhumita Roy is often cited by papers focused on Arsenic contamination and mitigation (14 papers), Genomics, phytochemicals, and oxidative stress (12 papers) and Tea Polyphenols and Effects (9 papers). Madhumita Roy collaborates with scholars based in India, Australia and United States. Madhumita Roy's co-authors include Sutapa Mukherjee, R.K. Bhattacharya, Dona Sinha, Maqsood Siddiqi, Jaydip Biswas, Ruma Sarkar, Nitai P. Bhattacharyya, Utpal Ghosh, Shibendu Shekhar Roy and Amitava Datta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Life Sciences.

In The Last Decade

Madhumita Roy

69 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhumita Roy India 25 948 316 232 230 208 71 1.8k
Yen‐Chou Chen Taiwan 24 1.5k 1.5× 89 0.3× 372 1.6× 157 0.7× 254 1.2× 44 2.5k
Som D. Sharma India 20 597 0.6× 200 0.6× 194 0.8× 108 0.5× 240 1.2× 27 1.7k
N. Nalini India 27 773 0.8× 264 0.8× 332 1.4× 220 1.0× 337 1.6× 72 2.4k
Akira Asai Japan 25 694 0.7× 332 1.1× 145 0.6× 50 0.2× 456 2.2× 51 2.2k
Jun‐Yan Hong United States 26 1.2k 1.3× 208 0.7× 426 1.8× 324 1.4× 105 0.5× 59 3.0k
Pallab Kanti Haldar India 25 576 0.6× 97 0.3× 703 3.0× 46 0.2× 272 1.3× 143 2.1k
Girish B. Maru India 27 992 1.0× 576 1.8× 257 1.1× 233 1.0× 310 1.5× 74 2.3k
Eun‐Ryeong Hahm United States 35 1.8k 1.9× 160 0.5× 447 1.9× 197 0.9× 159 0.8× 84 3.2k
Hui-Yi Lin Taiwan 22 1.2k 1.3× 132 0.4× 374 1.6× 147 0.6× 210 1.0× 37 2.1k
Vidya Hebbar United States 23 2.0k 2.1× 82 0.3× 344 1.5× 334 1.5× 414 2.0× 24 2.7k

Countries citing papers authored by Madhumita Roy

Since Specialization
Citations

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

Fields of papers citing papers by Madhumita Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhumita Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Madhumita Roy. A scholar is included among the top collaborators of Madhumita Roy 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 Madhumita Roy. Madhumita Roy 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.
Masuda, Kohji, et al.. (2025). CRE25-044: A Case Series of Immunotherapy-Induced Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis. Journal of the National Comprehensive Cancer Network. 23(3.5). 1 indexed citations
2.
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Debnath, R., et al.. (2024). Sustainable production of graphene quantum dots from rice husk for photo‐degradation of organochlorine pesticides. Materialwissenschaft und Werkstofftechnik. 55(4). 487–495. 4 indexed citations
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6.
Roy, Madhumita, et al.. (2017). Nutraceuticals in leukemia. Journal of Ayurvedic and Herbal Medicine. 3(1). 38–44. 3 indexed citations
7.
Roy, Madhumita, et al.. (2014). Arsenic: an alarming global concern.. International Journal of Current Microbiology and Applied Sciences. 3(10). 34–47. 8 indexed citations
8.
Sarkar, Ruma, et al.. (2014). Curcumin Augments the Efficacy of Antitumor Drugs Used in Leukemia by Modulation of Heat Shock Proteins Via HDAC6. Journal of Environmental Pathology Toxicology and Oncology. 33(3). 247–263. 30 indexed citations
9.
Roy, Madhumita, Dona Sinha, Sutapa Mukherjee, & Jaydip Biswas. (2010). Curcumin prevents DNA damage and enhances the repair potential in a chronically arsenic-exposed human population in West Bengal, India. European Journal of Cancer Prevention. 20(2). 123–131. 51 indexed citations
10.
Sinha, Dona, et al.. (2009). Modulation of arsenic induced genotoxicity by curcumin in human lymphocytes. 1(1). 1–9. 6 indexed citations
11.
Mukherjee, Sutapa, et al.. (2009). Isothiocyanates sensitize the effect of chemotherapeutic drugs via modulation of protein kinase C and telomerase in cervical cancer cells. Molecular and Cellular Biochemistry. 330(1-2). 9–22. 33 indexed citations
12.
Sen, Triparna, Shuvojit Moulik, Anindita Dutta, et al.. (2008). Multifunctional effect of epigallocatechin-3-gallate (EGCG) in downregulation of gelatinase-A (MMP-2) in human breast cancer cell line MCF-7. Life Sciences. 84(7-8). 194–204. 83 indexed citations
13.
Mukherjee, Sutapa, et al.. (2007). A Mechanistic Approach for Modulation of Arsenic Toxicity in Human Lymphocytes by Curcumin, an Active Constituent of Medicinal Herb Curcuma longa Linn. Journal of Clinical Biochemistry and Nutrition. 41(1). 32–42. 27 indexed citations
14.
Sinha, Dona, et al.. (2007). In Vitro Mitigation of Arsenic Toxicity by Tea Polyphenols in Human Lymphocytes. Journal of Environmental Pathology Toxicology and Oncology. 26(3). 207–220. 17 indexed citations
15.
Siddiqi, Maqsood, et al.. (2006). Tea-induced apoptosis in human leukemia K562 cells as assessed by comet formation.. PubMed. 7(2). 201–7. 9 indexed citations
16.
Siddiqi, Maqsood, et al.. (2005). Correlation of Apoptosis with Comet Formation Induced by Tea Polyphenols in Human Leukemia Cells. Journal of Environmental Pathology Toxicology and Oncology. 24(2). 115–128. 8 indexed citations
17.
Sinha, Dona, et al.. (2005). Arsenic-Induced Micronuclei Formation in Mammalian Cells and Its Counteraction by Tea. Journal of Environmental Pathology Toxicology and Oncology. 24(1). 45–56. 16 indexed citations
18.
Roy, Madhumita, et al.. (2002). Induction of apoptosis in human cancer cell lines by diospyrin, a plant-derived bisnaphthoquinonoid, and its synthetic derivatives. Cancer Letters. 188(1-2). 85–93. 43 indexed citations
19.
Pandit, Bhaswati, et al.. (2001). Co-amplification of dhfr and a homologue of hmsh3 in a Chinese hamster methotrexate-resistant cell line correlates with resistance to a range of chemotherapeutic drugs. Cancer Chemotherapy and Pharmacology. 48(4). 312–318. 7 indexed citations
20.
Roy, Madhumita, et al.. (1991). Response of V79 cells to N-methyl-N′-nitro-N-nitrosoguanidine (MNNG) treatment: inhibition of poly(ADP-ribose) and topoisomerase activity. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 249(1). 195–199. 4 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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