Sayali Mukherjee

536 total citations
32 papers, 389 citations indexed

About

Sayali Mukherjee is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sayali Mukherjee has authored 32 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sayali Mukherjee's work include Air Quality and Health Impacts (6 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Energy and Environment Impacts (3 papers). Sayali Mukherjee is often cited by papers focused on Air Quality and Health Impacts (6 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Energy and Environment Impacts (3 papers). Sayali Mukherjee collaborates with scholars based in India, United Arab Emirates and Canada. Sayali Mukherjee's co-authors include Twisha Lahiri, Shabana Siddique, Manas Ranjan Ray, Sanghita Roychoudhury, Madhuchanda Banerjee, Garima Yadav, Rajnish Kumar, Mohua Banerjee, Pathikrit Bhattacharya and Nandan K. Mondal and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Toxicology and Applied Pharmacology and Journal of Cellular Biochemistry.

In The Last Decade

Sayali Mukherjee

28 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sayali Mukherjee India 10 187 99 72 49 47 32 389
Sanghita Roychoudhury India 11 230 1.2× 128 1.3× 72 1.0× 23 0.5× 26 0.6× 13 446
Wioleta Justyna Omeljaniuk Poland 10 166 0.9× 84 0.8× 30 0.4× 19 0.4× 54 1.1× 17 380
Kurt Straif France 9 128 0.7× 60 0.6× 16 0.2× 62 1.3× 62 1.3× 12 390
Zhiwei Fan China 13 155 0.8× 26 0.3× 26 0.4× 28 0.6× 59 1.3× 48 510
Yuanchao Song China 8 262 1.4× 38 0.4× 52 0.7× 52 1.1× 83 1.8× 12 412
Bendik C. Brinchmann Norway 11 310 1.7× 87 0.9× 12 0.2× 51 1.0× 77 1.6× 19 485
Kunchong Shi China 11 245 1.3× 59 0.6× 26 0.4× 28 0.6× 37 0.8× 18 556
Jingfang Xie China 12 306 1.6× 84 0.8× 34 0.5× 81 1.7× 175 3.7× 21 578
Zhanpeng Yuan China 16 139 0.7× 58 0.6× 44 0.6× 124 2.5× 254 5.4× 25 597
Aaron E. Blair United States 6 185 1.0× 108 1.1× 91 1.3× 66 1.3× 18 0.4× 6 318

Countries citing papers authored by Sayali Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Sayali Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayali Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sayali Mukherjee. A scholar is included among the top collaborators of Sayali Mukherjee 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 Sayali Mukherjee. Sayali Mukherjee 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.
Mukherjee, Sayali, et al.. (2025). Advancements and implications of artificial intelligence for early detection, diagnosis and tailored treatment of cancer. Seminars in Oncology. 52(3). 152349–152349. 1 indexed citations
2.
Agrawal, Shreya, et al.. (2025). Inhibitors of inflammasome (NLRP3) signaling pathway as promising therapeutic candidates for oral cancer. Biochimica et Biophysica Acta (BBA) - General Subjects. 1869(6). 130800–130800. 1 indexed citations
3.
Yadav, Shikha & Sayali Mukherjee. (2025). Pathophysiology of spinal cord injury and advanced therapeutic approaches. Molecular Biology Reports. 52(1). 669–669.
4.
Mukherjee, Sayali, et al.. (2024). MicroRNAs as Biomarker in Rheumatoid Arthritis: Pathogenesis to Clinical Relevance. Journal of Cellular Biochemistry. 126(2). e30690–e30690. 3 indexed citations
5.
Mukherjee, Sayali, et al.. (2024). Therapeutic Potential of CRISPR/Cas in Hashimoto's Thyroiditis:AComprehensive Review. Current Gene Therapy. 24(3). 179–192.
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Mukherjee, Sayali, et al.. (2023). Role of toll-like receptor in the pathogenesis of oral cancer. Cell Biochemistry and Biophysics. 82(1). 91–105. 4 indexed citations
8.
Mukherjee, Sayali, et al.. (2022). Tumor necrosis factor‐alpha genetic variants and its interaction with smoking and tobacco chewing in oral precancerous lesions and oral cancer. Oral Science International. 20(3). 199–209. 2 indexed citations
9.
Mukherjee, Sayali, et al.. (2021). Relation of vitamin D to COVID-19. Journal of Virological Methods. 301. 114418–114418. 6 indexed citations
10.
Mukherjee, Sayali, Garima Yadav, & Rajnish Kumar. (2021). Recent trends in stem cell-based therapies and applications of artificial intelligence in regenerative medicine. World Journal of Stem Cells. 13(6). 521–541. 30 indexed citations
11.
Mukherjee, Sayali, et al.. (2021). Interaction of tobacco chewing and smoking habit with interleukin 6 promoter polymorphism in oral precancerous lesions and oral cancer. European Archives of Oto-Rhino-Laryngology. 278(10). 4011–4019. 7 indexed citations
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Mondal, Nandan K., Sanghita Roychoudhury, Sayali Mukherjee, et al.. (2016). Increased risk of cardiovascular disease in premenopausal female ragpickers of Eastern India: involvement of inflammation, oxidative stress, and platelet hyperactivity. Molecular and Cellular Biochemistry. 419(1-2). 193–203. 10 indexed citations
15.
Mondal, Nandan K., Shabana Siddique, Madhuchanda Banerjee, et al.. (2016). Alteration in Leukocyte Subsets and Expressions of FcγR and Complement Receptors among Female Ragpickers in Eastern India. Safety and Health at Work. 8(2). 198–205. 3 indexed citations
16.
Mukherjee, Sayali, Sanghita Roychoudhury, Shabana Siddique, et al.. (2014). Respiratory symptoms, lung function decrement and chronic obstructive pulmonary disease in pre-menopausal Indian women exposed to biomass smoke. Inhalation Toxicology. 26(14). 866–872. 39 indexed citations
17.
Roychoudhury, Sanghita, Nandan K. Mondal, Sayali Mukherjee, et al.. (2011). Activation of protein kinase B (PKB/Akt) and risk of lung cancer among rural women in India who cook with biomass fuel. Toxicology and Applied Pharmacology. 259(1). 45–53. 20 indexed citations
18.
Banerjee, Mohua, et al.. (2011). Hematological, immunological, and cardiovascular changes in individuals residing in a polluted city of India: A study in Delhi. International Journal of Hygiene and Environmental Health. 215(3). 306–311. 20 indexed citations
19.
Ray, Manas Ranjan, Sanghita Roychoudhury, Sayali Mukherjee, et al.. (2009). Airway Inflammation and Upregulation of β2 Mac‐1 Integrin Expression on Circulating Leukocytes of Female Ragpickers in India. Journal of Occupational Health. 51(3). 232–238. 13 indexed citations
20.
Mukherjee, Sayali, et al.. (2007). Occupational benzene exposure from vehicular sources in India and its effect on hematology, lymphocyte subsets and platelet P-selectin expression. Toxicology and Industrial Health. 23(3). 167–175. 31 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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