Krishnendu Sinha

2.9k total citations · 1 hit paper
28 papers, 2.4k citations indexed

About

Krishnendu Sinha is a scholar working on Molecular Biology, Pharmacology and Neurology. According to data from OpenAlex, Krishnendu Sinha has authored 28 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Pharmacology and 3 papers in Neurology. Recurrent topics in Krishnendu Sinha's work include Genomics, phytochemicals, and oxidative stress (3 papers), Mangiferin and Mango Extracts (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Krishnendu Sinha is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (3 papers), Mangiferin and Mango Extracts (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Krishnendu Sinha collaborates with scholars based in India and Qatar. Krishnendu Sinha's co-authors include Parames C. Sil, Pabitra Bikash Pal, Joydeep Das, Sayantani Chowdhury, Sharmistha Banerjee, Pritam Sadhukhan, Sukanya Saha, Kahkashan Rashid, Sudip Bhattacharyya and Jyotirmoy Ghosh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Krishnendu Sinha

28 papers receiving 2.4k citations

Hit Papers

Oxidative stress: the mitochondria-dependent and mitochon... 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishnendu Sinha India 17 903 244 221 212 208 28 2.4k
Pabitra Bikash Pal India 15 844 0.9× 216 0.9× 193 0.9× 165 0.8× 215 1.0× 17 2.1k
Joydeep Das India 20 971 1.1× 280 1.1× 410 1.9× 240 1.1× 225 1.1× 39 2.9k
Hany H. Arab Egypt 34 1.1k 1.2× 210 0.9× 406 1.8× 331 1.6× 252 1.2× 87 3.1k
Xue Han China 26 812 0.9× 179 0.7× 238 1.1× 151 0.7× 166 0.8× 99 2.1k
Layasadat Khorsandi Iran 31 810 0.9× 169 0.7× 320 1.4× 264 1.2× 169 0.8× 177 3.0k
Chunxu Hai China 31 1.3k 1.5× 159 0.7× 285 1.3× 158 0.7× 271 1.3× 82 2.7k
Rong Li China 30 1.2k 1.4× 170 0.7× 254 1.1× 280 1.3× 302 1.5× 98 3.1k
Heqing Huang China 31 1.3k 1.4× 339 1.4× 311 1.4× 195 0.9× 305 1.5× 95 2.7k
Luı́s Fernando Barbisan Brazil 30 699 0.8× 163 0.7× 237 1.1× 218 1.0× 220 1.1× 159 2.6k

Countries citing papers authored by Krishnendu Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Krishnendu Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnendu Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Krishnendu Sinha. A scholar is included among the top collaborators of Krishnendu Sinha 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 Krishnendu Sinha. Krishnendu Sinha 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.
Ghosh, Nabanita & Krishnendu Sinha. (2025). Curli protein: A potential contributor to α-synucleopathy in Parkinson's disease. SHILAP Revista de lepidopterología. 9. 41–48. 1 indexed citations
2.
Ghosh, Nabanita, Jyotirmoy Ghosh, Sumit Ghosh, Krishnendu Sinha, & Parames C. Sil. (2025). Nutraceutical interventions for neuroprotection: a comprehensive review. Biochemical Pharmacology. 245. 117637–117637. 1 indexed citations
3.
Sinha, Krishnendu, et al.. (2024). Harnessing machine learning in contemporary tobacco research. Toxicology Reports. 14. 101877–101877. 1 indexed citations
4.
Sinha, Krishnendu, et al.. (2024). Molecular mechanism of nanomaterials induced liver injury: A review. World Journal of Hepatology. 16(4). 566–600. 11 indexed citations
5.
Sen, Koushik, et al.. (2024). Lupeol: A dietary and medicinal triterpene with therapeutic potential. Biochemical Pharmacology. 229. 116545–116545. 6 indexed citations
6.
Sinha, Krishnendu, et al.. (2024). Selection on synonymous codon usage in soybean (Glycine max) WRKY genes. Scientific Reports. 14(1). 26530–26530. 3 indexed citations
7.
Ghosh, Nabanita, Krishnendu Sinha, & Parames C. Sil. (2024). A review on the new age methodologies for early detection of Alzheimer's and Parkinson's disease. Basic & Clinical Pharmacology & Toxicology. 134(5). 602–613. 8 indexed citations
8.
Ghosh, Sumit, et al.. (2024). The Emerging Role of Natural Products in Cancer Treatment. Archives of Toxicology. 98(8). 2353–2391. 23 indexed citations
9.
Ghosh, Nabanita, Krishnendu Sinha, & Parames C. Sil. (2024). Pesticides and the Gut Microbiota: Implications for Parkinson’s Disease. Chemical Research in Toxicology. 37(7). 1071–1085. 8 indexed citations
10.
Sinha, Krishnendu, Jyotirmoy Ghosh, & Parames C. Sil. (2022). Machine Learning in Drug Metabolism Study. Current Drug Metabolism. 23(13). 1012–1026. 4 indexed citations
11.
Sinha, Krishnendu, Sayantani Chowdhury, Sharmistha Banerjee, et al.. (2019). Lupeol alters viability of SK-RC-45 (Renal cell carcinoma cell line) by modulating its mitochondrial dynamics. Heliyon. 5(8). e02107–e02107. 39 indexed citations
12.
Banerjee, Sharmistha, Sumit Ghosh, Krishnendu Sinha, Sayantani Chowdhury, & Parames C. Sil. (2018). Sulphur dioxide ameliorates colitis related pathophysiology and inflammation. Toxicology. 412. 63–78. 26 indexed citations
13.
Banerjee, Sharmistha, Krishnendu Sinha, Sayantani Chowdhury, & Parames C. Sil. (2017). Unfolding the mechanism of cisplatin induced pathophysiology in spleen and its amelioration by carnosine. Chemico-Biological Interactions. 279. 159–170. 27 indexed citations
14.
Sinha, Krishnendu, Jyotirmoy Ghosh, & Parames C. Sil. (2016). Morin and Its Role in Chronic Diseases. Advances in experimental medicine and biology. 928. 453–471. 36 indexed citations
16.
Bhattacharyya, Sudip, Krishnendu Sinha, & Parames C. Sil. (2014). Cytochrome P450s: Mechanisms and Biological Implications in Drug Metabolism and its Interaction with Oxidative Stress. Current Drug Metabolism. 15(7). 719–742. 85 indexed citations
17.
Sinha, Krishnendu, Pabitra Bikash Pal, & Parames C. Sil. (2013). Cadmium (Cd2+) exposure differentially elicits both cell proliferation and cell death related responses in SK-RC-45. Toxicology in Vitro. 28(2). 307–318. 26 indexed citations
18.
Rashid, Kahkashan, Krishnendu Sinha, & Parames C. Sil. (2013). An update on oxidative stress-mediated organ pathophysiology. Food and Chemical Toxicology. 62. 584–600. 115 indexed citations
19.
Pal, Pabitra Bikash, Krishnendu Sinha, & Parames C. Sil. (2013). Mangiferin, a Natural Xanthone, Protects Murine Liver in Pb(II) Induced Hepatic Damage and Cell Death via MAP Kinase, NF-κB and Mitochondria Dependent Pathways. PLoS ONE. 8(2). e56894–e56894. 83 indexed citations
20.
Sinha, Krishnendu, Joydeep Das, Pabitra Bikash Pal, & Parames C. Sil. (2013). Oxidative stress: the mitochondria-dependent and mitochondria-independent pathways of apoptosis. Archives of Toxicology. 87(7). 1157–1180. 1384 indexed citations breakdown →

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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