Nisha Thakur

666 total citations
35 papers, 433 citations indexed

About

Nisha Thakur is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Nisha Thakur has authored 35 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Epidemiology and 6 papers in Oncology. Recurrent topics in Nisha Thakur's work include Cervical Cancer and HPV Research (8 papers), Cancer-related Molecular Pathways (5 papers) and Epigenetics and DNA Methylation (5 papers). Nisha Thakur is often cited by papers focused on Cervical Cancer and HPV Research (8 papers), Cancer-related Molecular Pathways (5 papers) and Epigenetics and DNA Methylation (5 papers). Nisha Thakur collaborates with scholars based in India, Saudi Arabia and Jordan. Nisha Thakur's co-authors include Mausumi Bharadwaj, Bhudev C. Das, Indu Kohaar, Ravi Mehrotra, Vilas D. Nasare, Swaraj Batra, Showket Hussain, Sudha Salhan, Sonam Tulsyan and Debi P. Sarkar and has published in prestigious journals such as Sensors, Breast Cancer Research and Treatment and Acta Obstetricia Et Gynecologica Scandinavica.

In The Last Decade

Nisha Thakur

30 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nisha Thakur India 12 160 151 116 111 83 35 433
Mariana Aşchie Romania 12 93 0.6× 49 0.3× 75 0.6× 33 0.3× 34 0.4× 63 361
Changdong Lin China 13 286 1.8× 39 0.3× 153 1.3× 68 0.6× 132 1.6× 24 546
Kirill V. Korneev Russia 14 212 1.3× 73 0.5× 96 0.8× 69 0.6× 258 3.1× 41 565
Zeni Wu China 13 211 1.3× 279 1.8× 57 0.5× 71 0.6× 16 0.2× 38 513
Ming-Yung Lee Taiwan 9 131 0.8× 41 0.3× 79 0.7× 43 0.4× 42 0.5× 10 336
Kusumawadee Utispan Thailand 12 144 0.9× 48 0.3× 156 1.3× 92 0.8× 61 0.7× 24 469
Yajuan Zheng China 11 261 1.6× 41 0.3× 164 1.4× 68 0.6× 101 1.2× 16 493
Xinyu Shao China 11 333 2.1× 49 0.3× 179 1.5× 122 1.1× 61 0.7× 29 585

Countries citing papers authored by Nisha Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of Nisha Thakur. A scholar is included among the top collaborators of Nisha Thakur 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 Nisha Thakur. Nisha Thakur 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.
Hussain, Sajjad, et al.. (2025). Enhancing compressive strength prediction of sustainable concrete using MEP and GEP models with SHAP-based interpretation. Asian Journal of Civil Engineering. 27(1). 245–262. 3 indexed citations
2.
Thakur, Nisha, et al.. (2025). Predicting compressive strength of sustainable concrete using advanced AI models: DLNN, RF, and MARS. Asian Journal of Civil Engineering. 26(5). 1939–1954. 6 indexed citations
3.
4.
Elangovan, M., et al.. (2023). Enhancing Yield and Biological Efficiency of Volvariella volvaceae through Non-Conventional Cultivation Methods. International Journal of Environment and Climate Change. 13(10). 3145–3151.
5.
Barnawi, Ahmed, et al.. (2023). Unmanned Ariel Vehicle (UAV) Path Planning for Area Segmentation in Intelligent Landmine Detection Systems. Sensors. 23(16). 7264–7264. 7 indexed citations
6.
Saini, Geetanjali, Amit Chaudhary, Pooja Sharma, et al.. (2021). A Comprehensive Review of Quantifications, Profiling, and Regulations of Pharmaceutical Impurities. Journal of Pharmaceutical Research International. 194–222. 1 indexed citations
7.
Thakur, Nisha, et al.. (2020). Pemphigus vulgaris: A rare case of gingival involvement. Contemporary Clinical Dentistry. 11(3). 277–277. 1 indexed citations
8.
Gupta, A., Sonam Tulsyan, Nisha Thakur, et al.. (2019). Chemistry, metabolism and pharmacology of carcinogenic alkaloids present in areca nut and factors affecting their concentration. Regulatory Toxicology and Pharmacology. 110. 104548–104548. 46 indexed citations
9.
Mahajan, Ajay, et al.. (2017). Dimorphic anemia and mental depression as a result of systemic manifestations of generalized aggressive periodontitis: A pioneer case report. Journal of Indian Society of Periodontology. 21(5). 412–412. 2 indexed citations
10.
Thakur, Nisha, et al.. (2012). Association of MDM2 and p53 Polymorphisms with the Advancement of Cervical Carcinoma. DNA and Cell Biology. 32(1). 19–27. 26 indexed citations
11.
Thakur, Nisha, et al.. (2012). Antibiotic prophylaxis in infective endocarditis: Use or abuse?. Dental Hypotheses. 3(2). 76–76.
12.
Thakur, Nisha, Neha Singh, Rashid Mir, et al.. (2011). Association of cyclin D1 gene polymorphisms with risk of esophageal squamous cell carcinoma in Kashmir Valley—A high risk area. Molecular Carcinogenesis. 50(7). 487–498. 22 indexed citations
13.
Thakur, Nisha, et al.. (2011). Association analysis of p16 (CDKN2A) and RB1 polymorphisms with susceptibility to cervical cancer in Indian population. Molecular Biology Reports. 39(1). 407–414. 26 indexed citations
14.
Kohaar, Indu, Jitender Kumar, Nisha Thakur, et al.. (2010). Homocysteine levels are associated with cervical cancer independent of methylene tetrahydrofolate reductase gene (MTHFR) polymorphisms in Indian population. Biomarkers. 15(1). 61–68. 24 indexed citations
15.
Bharadwaj, Mausumi, Showket Hussain, & Nisha Thakur. (2010). Genetic basis of HPV mediated cervical cancer in Indian women. 9–9. 1 indexed citations
16.
Thakur, Nisha, Showket Hussain, Indu Kohaar, et al.. (2009). Genetic variant ofCCND1: Association with HPV-mediated cervical cancer in Indian population. Biomarkers. 14(4). 219–225. 20 indexed citations
17.
Kohaar, Indu, Showket Hussain, Nisha Thakur, et al.. (2009). Association between human leukocyte antigen class II alleles and human papillomavirus-mediated cervical cancer in Indian women. Human Immunology. 70(4). 222–229. 36 indexed citations
18.
Kumar, Rajeev, Showket Hussain, Indu Kohaar, et al.. (2008). Effect of aberrant promoter methylation ofFHITandRASSF1Agenes on susceptibility to cervical cancer in a North Indian population. Biomarkers. 13(6). 597–606. 29 indexed citations
19.
Kohaar, Indu, Rakesh Kumar, Vilas D. Nasare, et al.. (2008). Association of single nucleotide polymorphisms (SNPs) in TNF-LTA locus with breast cancer risk in Indian population. Breast Cancer Research and Treatment. 114(2). 347–355. 50 indexed citations
20.
Kohaar, Indu, Nisha Thakur, Sudha Salhan, et al.. (2007). TNFα–308G/A Polymorphism as a Risk Factor for HPV Associated Cervical Cancer in Indian Population. Analytical Cellular Pathology. 29(3). 249–256. 54 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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