Pankaj Chaudhary

1.8k total citations
45 papers, 1.4k citations indexed

About

Pankaj Chaudhary is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Pankaj Chaudhary has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Immunology and 9 papers in Oncology. Recurrent topics in Pankaj Chaudhary's work include S100 Proteins and Annexins (8 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Glutathione Transferases and Polymorphisms (5 papers). Pankaj Chaudhary is often cited by papers focused on S100 Proteins and Annexins (8 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Glutathione Transferases and Polymorphisms (5 papers). Pankaj Chaudhary collaborates with scholars based in United States, India and France. Pankaj Chaudhary's co-authors include Sanjay Awasthi, Jamboor K. Vishwanatha, Sayantan Maji, Rajendra Sharma, Abha Sharma, Rit Vatsyayan, Richard J. Hare, Phung M. Nguyen, Irina Akopova and Ignacy Gryczyński and has published in prestigious journals such as Journal of Biological Chemistry, Environmental Science & Technology and The Journal of Immunology.

In The Last Decade

Pankaj Chaudhary

38 papers receiving 1.4k 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 Chaudhary United States 21 950 353 227 210 136 45 1.4k
Anthony Lemarié France 18 771 0.8× 346 1.0× 211 0.9× 165 0.8× 67 0.5× 26 1.4k
Gilles Despouy France 16 838 0.9× 276 0.8× 225 1.0× 167 0.8× 69 0.5× 21 1.3k
Miguel Saceda Spain 28 1.2k 1.2× 293 0.8× 761 3.4× 166 0.8× 60 0.4× 60 2.3k
Paola Maycotte Mexico 20 1.3k 1.3× 472 1.3× 240 1.1× 196 0.9× 64 0.5× 42 2.1k
Wen‐Sheng Wu Taiwan 22 1.0k 1.1× 360 1.0× 273 1.2× 181 0.9× 89 0.7× 41 1.8k
Ewa Forma Poland 22 924 1.0× 382 1.1× 209 0.9× 221 1.1× 22 0.2× 75 1.5k
Sallie S. Schneider United States 23 745 0.8× 304 0.9× 400 1.8× 156 0.7× 79 0.6× 71 1.4k
Priyamvada Rai United States 23 1.1k 1.1× 256 0.7× 272 1.2× 118 0.6× 39 0.3× 39 1.6k
Ye Tian China 23 892 0.9× 252 0.7× 225 1.0× 105 0.5× 90 0.7× 79 1.7k
Michaël Boyer‐Guittaut France 21 1.2k 1.2× 346 1.0× 287 1.3× 197 0.9× 52 0.4× 39 1.9k

Countries citing papers authored by Pankaj Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Chaudhary

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Chaudhary. A scholar is included among the top collaborators of Pankaj Chaudhary 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 Chaudhary. Pankaj Chaudhary 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.
Chhabra, Kumar Gaurav, et al.. (2025). To contemplate the role of school teachers on oral health promotion – A qualitative study. Journal of Education and Health Promotion. 14(1). 165–165.
2.
3.
Chaudhary, Pankaj. (2025). Abstract 2639: Role of annexin A2 in triple-negative breast cancer metastasis. Cancer Research. 85(8_Supplement_1). 2639–2639.
4.
5.
Mathew, Stephen O., et al.. (2023). Blocking PCNA interaction with NKp44 enhances primary natural killer cell-mediated lysis of triple-negative breast cancer cells.. PubMed. 13(3). 1082–1090. 7 indexed citations
6.
Maji, Sayantan, Ahmed Haddad, Yair Lotan, et al.. (2021). MicroRNA-940 as a Potential Serum Biomarker for Prostate Cancer. Frontiers in Oncology. 11. 628094–628094. 11 indexed citations
7.
Zhang, Yan, Santosh Thapa, Michael S. Allen, et al.. (2020). Comparative analysis of racial differences in breast tumor microbiome. Scientific Reports. 10(1). 14116–14116. 54 indexed citations
8.
Ranjan, Amalendu P., et al.. (2019). In vivo imaging and biodistribution of near infrared dye loaded brain-metastatic-breast-cancer-cell-membrane coated polymeric nanoparticles. Nanotechnology. 30(26). 265101–265101. 44 indexed citations
9.
Gibbs, Lee D., et al.. (2018). ANXA2 expression in African American triple-negative breast cancer patients. Breast Cancer Research and Treatment. 174(1). 113–120. 16 indexed citations
10.
Maji, Sayantan, Pankaj Chaudhary, Irina Akopova, et al.. (2016). Exosomal Annexin II Promotes Angiogenesis and Breast Cancer Metastasis. Molecular Cancer Research. 15(1). 93–105. 269 indexed citations
11.
Mathew, Stephen O., et al.. (2016). Overexpression of LLT1 (OCIL, CLEC2D) on prostate cancer cells inhibits NK cell-mediated killing through LLT1-NKRP1A (CD161) interaction. Oncotarget. 7(42). 68650–68661. 49 indexed citations
12.
Griner, Nicholas B., Denise Young, Pankaj Chaudhary, et al.. (2014). ERG Oncoprotein Inhibits ANXA2 Expression and Function in Prostate Cancer. Molecular Cancer Research. 13(2). 368–379. 11 indexed citations
13.
Chaudhary, Pankaj, et al.. (2014). Inhibition of triple-negative and Herceptin-resistant breast cancer cell proliferation and migration by Annexin A2 antibodies. British Journal of Cancer. 111(12). 2328–2341. 45 indexed citations
14.
Chaudhary, Pankaj, et al.. (2013). Acute Uterine Inversion: Case Series from Paropakar Maternity and Women’s Hospital. Nepal Journal of Obstetrics and Gynaecology. 8(1). 46–49.
15.
Sahu, Mukesh, Rajendra Sharma, Sushma Yadav, et al.. (2013). Lens specific RLIP76 transgenic mice show a phenotype similar to microphthalmia. Experimental Eye Research. 118. 125–134. 2 indexed citations
16.
Singhal, Sharad S., Dilki Wickramarachchi, Sushma Yadav, et al.. (2011). Glutathione-Conjugate Transport by RLIP76 Is Required for Clathrin-Dependent Endocytosis and Chemical Carcinogenesis. Molecular Cancer Therapeutics. 10(1). 16–28. 54 indexed citations
17.
Vatsyayan, Rit, et al.. (2011). The expression and function of vascular endothelial growth factor in retinal pigment epithelial (RPE) cells is regulated by 4-hydroxynonenal (HNE) and glutathione S-transferaseA4-4. Biochemical and Biophysical Research Communications. 417(1). 346–351. 27 indexed citations
18.
Vatsyayan, Rit, Pankaj Chaudhary, Abha Sharma, et al.. (2010). Role of 4-hydroxynonenal in epidermal growth factor receptor-mediated signaling in retinal pigment epithelial cells. Experimental Eye Research. 92(2). 147–154. 30 indexed citations
19.
Singh, Atul K., et al.. (2007). Selective loss of lin genes from hexachlorocyclohexane-degrading Pseudomonas aeruginosa ITRC-5 under different growth conditions. Applied Microbiology and Biotechnology. 76(4). 895–901. 13 indexed citations
20.
Kumar, M. Suresh, Pankaj Chaudhary, Manish Dwivedi, et al.. (2005). Enhanced Biodegradation of β- and δ-Hexachlorocyclohexane in the Presence of α- and γ-Isomers in Contaminated Soils. Environmental Science & Technology. 39(11). 4005–4011. 49 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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