Anindya Dey

1.1k total citations
35 papers, 843 citations indexed

About

Anindya Dey is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Anindya Dey has authored 35 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Anindya Dey's work include MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Anindya Dey is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Anindya Dey collaborates with scholars based in United States, India and Canada. Anindya Dey's co-authors include Resham Bhattacharya, Priyabrata Mukherjee, Shailendra Kumar Dhar Dwivedi, Geeta Rao, Soumyajit Banerjee Mustafi, Md. Nazir Hossen, Yushan Zhang, Prasun Guha, Subrata Chattopadhyay and Sandip K. Bandyopadhyay and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Anindya Dey

34 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anindya Dey United States 17 482 184 165 115 106 35 843
Ilaria Buondonno Italy 18 464 1.0× 112 0.6× 181 1.1× 63 0.5× 86 0.8× 23 965
Anne Riemann Germany 15 498 1.0× 355 1.9× 136 0.8× 55 0.5× 125 1.2× 30 866
Mihail I. Mitov United States 15 545 1.1× 340 1.8× 109 0.7× 40 0.3× 145 1.4× 26 1.0k
Simon Schwörer United States 9 502 1.0× 268 1.5× 148 0.9× 57 0.5× 69 0.7× 9 794
Guanghui Cheng China 19 436 0.9× 150 0.8× 66 0.4× 170 1.5× 96 0.9× 46 1.1k
Celia Garcı́a-Prieto United States 9 529 1.1× 322 1.8× 174 1.1× 54 0.5× 38 0.4× 12 863
Sandra Galoforo United States 16 721 1.5× 261 1.4× 196 1.2× 54 0.5× 72 0.7× 35 1.1k
Mirela Berisa United States 7 482 1.0× 281 1.5× 270 1.6× 56 0.5× 93 0.9× 9 1.0k
Kyung Hee Koo South Korea 9 487 1.0× 245 1.3× 194 1.2× 52 0.5× 53 0.5× 11 760
Filipa Lopes‐Coelho Portugal 11 358 0.7× 251 1.4× 135 0.8× 64 0.6× 55 0.5× 17 634

Countries citing papers authored by Anindya Dey

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Anindya Dey. A scholar is included among the top collaborators of Anindya Dey 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 Anindya Dey. Anindya Dey 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.
2.
Dey, Anindya, Shailendra Kumar Dhar Dwivedi, Tamás Kiss, et al.. (2023). A role for the cystathionine-β-synthase /H2S axis in astrocyte dysfunction in the aging brain. Redox Biology. 68. 102958–102958. 15 indexed citations
3.
Bhattacharya, Udayan, Elangovan Thavathiru, Chao Xu, et al.. (2022). The deubiquitinase USP10 protects pancreatic cancer cells from endoplasmic reticulum stress. npj Precision Oncology. 6(1). 93–93. 7 indexed citations
4.
Zhang, Yushan, Chandra Kumar Elechalawar, Wen Yang, et al.. (2022). Disabling partners in crime: Gold nanoparticles disrupt multicellular communications within the tumor microenvironment to inhibit ovarian tumor aggressiveness. Materials Today. 56. 79–95. 15 indexed citations
5.
Dey, Anindya, Shailendra Kumar Dhar Dwivedi, Lin Wang, et al.. (2022). Targeting BMI1 mitigates chemoresistance in ovarian cancer. Genes & Diseases. 9(6). 1415–1418. 1 indexed citations
6.
Bose, Himadri, et al.. (2022). Characterization of the rare microbiome of rice paddy soil from arsenic contaminated hotspot of West Bengal and their interrelation with arsenic and other geochemical parameters. World Journal of Microbiology and Biotechnology. 38(10). 171–171. 4 indexed citations
7.
Rao, Geeta, et al.. (2021). Small Non-Coding-RNA in Gynecological Malignancies. Cancers. 13(5). 1085–1085. 30 indexed citations
8.
Rao, Geeta, Shailendra Kumar Dhar Dwivedi, Yushan Zhang, et al.. (2020). Micro RNA ‐195 controls MICU 1 expression and tumor growth in ovarian cancer. EMBO Reports. 21(10). e48483–e48483. 37 indexed citations
9.
Zhang, Yushan, Chandra Kumar Elechalawar, Md. Nazir Hossen, et al.. (2020). Gold nanoparticles inhibit activation of cancer-associated fibroblasts by disrupting communication from tumor and microenvironmental cells. Bioactive Materials. 6(2). 326–332. 44 indexed citations
10.
Dey, Anindya, Shailendra Kumar Dhar Dwivedi, Kai Ding, et al.. (2018). Inhibition of BMI1, a Therapeutic Approach in Endometrial Cancer. Molecular Cancer Therapeutics. 17(10). 2136–2143. 14 indexed citations
11.
Prabhudesai, Shubhangi, Anindya Dey, Shahram Eisa-Beygi, et al.. (2018). Cystathionine β-Synthase Is Necessary for Axis Development in Vivo. Frontiers in Cell and Developmental Biology. 6. 14–14. 16 indexed citations
12.
Okrah, Kwame, Somayeh S. Tarighat, Hartmut Koeppen, et al.. (2018). Transcriptomic analysis of hepatocellular carcinoma reveals molecular features of disease progression and tumor immune biology. npj Precision Oncology. 2(1). 25–25. 41 indexed citations
13.
Dey, Anindya, Xunhao Xiong, Shailendra Kumar Dhar Dwivedi, et al.. (2017). Evaluating the Mechanism and Therapeutic Potential of PTC-028, a Novel Inhibitor of BMI-1 Function in Ovarian Cancer. Molecular Cancer Therapeutics. 17(1). 39–49. 31 indexed citations
14.
Dey, Anindya, Soumyajit Banerjee Mustafi, Sounik Saha, et al.. (2016). Inhibition of BMI1 induces autophagy-mediated necroptosis. Autophagy. 12(4). 659–670. 63 indexed citations
15.
Bhattacharya, Resham, et al.. (2015). Bmi-1: At the crossroads of physiological and pathological biology. Genes & Diseases. 2(3). 225–239. 90 indexed citations
16.
Purayil, Hamsa Thayele, et al.. (2014). Arrestin2 modulates androgen receptor activation. Oncogene. 34(24). 3144–3151. 18 indexed citations
17.
Yu, Qin, Anindya Dey, Hamsa Thayele Purayil, & Yehia Daaka. (2013). Maintenance of Androgen Receptor Inactivation by S-Nitrosylation. Cancer Research. 73(22). 6690–6699. 23 indexed citations
18.
Qin, Yu, Anindya Dey, & Yehia Daaka. (2013). Protein S-Nitrosylation Measurement. Methods in enzymology on CD-ROM/Methods in enzymology. 522. 409–425. 18 indexed citations
19.
Guha, Prasun, Anindya Dey, Rupashree Sen, et al.. (2010). Calpain and Caspase Orchestrated Death Signal to Accomplish Apoptosis Induced by Resveratrol and Its Novel Analog Hydroxstilbene-1 in Cancer Cells. Journal of Pharmacology and Experimental Therapeutics. 334(2). 381–394. 24 indexed citations
20.
Guha, Prasun, Anindya Dey, Rupashree Sen, et al.. (2010). Intracellular GSH Depletion Triggered Mitochondrial Bax Translocation to Accomplish Resveratrol-Induced Apoptosis in the U937 Cell Line. Journal of Pharmacology and Experimental Therapeutics. 336(1). 206–214. 89 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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