Pankaj Taneja

1.1k total citations
33 papers, 792 citations indexed

About

Pankaj Taneja is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Pankaj Taneja has authored 33 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Cancer Research. Recurrent topics in Pankaj Taneja's work include Carcinogens and Genotoxicity Assessment (5 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Vibrio bacteria research studies (3 papers). Pankaj Taneja is often cited by papers focused on Carcinogens and Genotoxicity Assessment (5 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Vibrio bacteria research studies (3 papers). Pankaj Taneja collaborates with scholars based in India, United States and Saudi Arabia. Pankaj Taneja's co-authors include Yogeshwer Shukla, Annu Arora, Kazushi Inoue, Neetu Kumra Taneja, S.K. Mehta, Sushil Kumar Kansal, Ahmad Umar, Alex O. Ibhadon, Shelja Sharma and Elizabeth A. Fry and has published in prestigious journals such as International Journal of Cancer, Life Sciences and Food Research International.

In The Last Decade

Pankaj Taneja

30 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankaj Taneja India 15 265 120 116 115 111 33 792
Md. Zafaryab India 19 304 1.1× 96 0.8× 120 1.0× 129 1.1× 140 1.3× 32 938
Reneta Toshkova Bulgaria 20 285 1.1× 44 0.4× 141 1.2× 144 1.3× 114 1.0× 84 1.3k
Junxia Zheng China 22 571 2.2× 52 0.4× 104 0.9× 263 2.3× 130 1.2× 69 1.2k
Parasuraman Pavadai India 18 285 1.1× 63 0.5× 95 0.8× 112 1.0× 170 1.5× 88 977
Arbind Acharya India 16 407 1.5× 132 1.1× 115 1.0× 192 1.7× 103 0.9× 81 1.1k
Jialu Huang China 16 350 1.3× 62 0.5× 132 1.1× 117 1.0× 65 0.6× 52 1.0k
Yan Tian China 21 629 2.4× 147 1.2× 109 0.9× 108 0.9× 99 0.9× 62 1.4k
Prateek Pathak India 17 367 1.4× 126 1.1× 141 1.2× 115 1.0× 455 4.1× 125 1.3k
Xin Deng China 15 335 1.3× 116 1.0× 48 0.4× 81 0.7× 147 1.3× 58 987
T.T. Sreelekha India 20 379 1.4× 84 0.7× 211 1.8× 166 1.4× 85 0.8× 49 1.2k

Countries citing papers authored by Pankaj Taneja

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Taneja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Taneja

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Taneja. A scholar is included among the top collaborators of Pankaj Taneja 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 Pankaj Taneja. Pankaj Taneja 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.
Kaushik, Abhishek, Neetu Kumra Taneja, Dwaipayan Bharadwaj, et al.. (2025). Breaking the biofilm barrier: vitamin C as a novel strategy against multidrug-resistant Salmonella Typhimurium. International Journal of Food Science & Technology. 60(1). 2 indexed citations
2.
Taneja, Pankaj, et al.. (2024). Lipid Nanoparticle-Mediated Liver-Specific Gene Therapy for Hemophilia B. Pharmaceutics. 16(11). 1427–1427.
3.
Singh, Soumya, et al.. (2024). Exploring the therapeutic and nutritional potential of camel milk: Challenges and prospects: A comprehensive review. Applied Food Research. 4(2). 100622–100622.
4.
Tripathi, Shweta, et al.. (2024). Phosphodiesterase Inhibitor ‘Rolipram’ Alleviates Sleep-Deprivation-Mediated Appetitive-Delay-Conditioned Memory in the Rat. Sleep and Vigilance. 8(2). 281–290. 1 indexed citations
5.
Ashique, Sumel, Neeraj Mishra, Ashish Garg, et al.. (2023). Recent updates on correlation between reactive oxygen species and synbiotics for effective management of ulcerative colitis. Frontiers in Nutrition. 10. 1126579–1126579. 38 indexed citations
6.
Taneja, Pankaj, et al.. (2023). Diosgenin enhances liposome-enabled nucleic acid delivery and CRISPR/Cas9-mediated gene editing by modulating endocytic pathways. Frontiers in Bioengineering and Biotechnology. 10. 4 indexed citations
8.
Khanna, Sonia, et al.. (2021). Molecular docking, synthesis and anticancer activity of thiosemicarbazone derivatives against MCF-7 human breast cancer cell line. Life Sciences. 273. 119305–119305. 32 indexed citations
9.
Gupta, Piyush Kumar, Pankaj Taneja, Sonia Khanna, et al.. (2021). Synthesis, In Silico Study, and Anti-Cancer Activity of Thiosemicarbazone Derivatives. Biomedicines. 9(10). 1375–1375. 33 indexed citations
10.
Taneja, Pankaj, et al.. (2021). Advancement of nanoscience in development of conjugated drugs for enhanced disease prevention. Life Sciences. 268. 118859–118859. 13 indexed citations
11.
Taneja, Pankaj, et al.. (2020). Green Synthesized Silver Nanoparticles: A Promising Anticancer Agent. International Journal of Nanoscience. 19(4). 1950027–1950027. 8 indexed citations
12.
Taneja, Neetu Kumra, Ankita Singh Chakotiya, Praveen J. Patel, et al.. (2020). Phenotypic and genotypic characterization of biofilm forming, antimicrobial resistant, pathogenic Escherichia coli isolated from Indian dairy and meat products. International Journal of Food Microbiology. 336. 108899–108899. 44 indexed citations
13.
Ali, Shahid, et al.. (2018). Binding mechanism of caffeic acid and simvastatin to the integrin linked kinase for therapeutic implications: a comparative docking and MD simulation studies. Journal of Biomolecular Structure and Dynamics. 37(16). 4327–4337. 56 indexed citations
15.
Fry, Elizabeth A., Pankaj Taneja, & Kazushi Inoue. (2016). Clinical applications of mouse models for breast cancer engaging HER2/neu. PubMed. 3(5). 593–603. 21 indexed citations
16.
Sadiq, Idris Zubairu, et al.. (2016). CHEMOPROTECTIVE ROLE OF BOVINE LACTOFERRICIN AGAINST 7, 12 DIMETHYLBENZ (A) ANTHRACENE INDUCED SKIN CANCER IN FEMALE SWISS ALBINO MICE. International Journal of Pharmacy and Pharmaceutical Sciences. 8(8). 215–222. 2 indexed citations
17.
Fry, Elizabeth A., Pankaj Taneja, & Kazushi Inoue. (2016). Oncogenic and tumor-suppressive mouse models for breast cancer engaging HER2/neu. International Journal of Cancer. 140(3). 495–503. 28 indexed citations
18.
Taneja, Pankaj, et al.. (2015). CATIONIC PEPTIDE LACTOFERRICIN B INHIBITS GLUTATHIONE S-TRANSFERASE P1 FROM HUMAN PLACENTA AND BREAST CANCER CELL LINE MDA-MB-231 PREVENTING ANTICANCER DRUG METABOLISM. International Journal of Pharmacy and Pharmaceutical Sciences. 8(8). 238–241. 5 indexed citations
19.
Taneja, Pankaj, Donna P. Frazier, Robert D. Kendig, et al.. (2009). MMTV mouse models and the diagnostic values of MMTV-like sequences in human breast cancer. Expert Review of Molecular Diagnostics. 9(5). 423–440. 56 indexed citations
20.
Shukla, Yogeshwer & Pankaj Taneja. (2000). Mutagenic evaluation of deltamethrin using rodent dominant lethal assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 467(2). 119–127. 10 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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