Pankaj Chopra

3.3k total citations
50 papers, 2.0k citations indexed

About

Pankaj Chopra is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Pankaj Chopra has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Genetics and 6 papers in Epidemiology. Recurrent topics in Pankaj Chopra's work include Genetics and Neurodevelopmental Disorders (14 papers), Epigenetics and DNA Methylation (11 papers) and RNA modifications and cancer (4 papers). Pankaj Chopra is often cited by papers focused on Genetics and Neurodevelopmental Disorders (14 papers), Epigenetics and DNA Methylation (11 papers) and RNA modifications and cancer (4 papers). Pankaj Chopra collaborates with scholars based in United States, India and South Korea. Pankaj Chopra's co-authors include Stephen T. Warren, Reid S. Alisch, Vincent C.O. Njar, Lalji K. Gediya, Glen A. Satten, Karen N. Conneely, Tadas S. Vasaitis, Benjamin G. Barwick, Joshua A. Suhl and Puranik Purushottamachar and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and Gastroenterology.

In The Last Decade

Pankaj Chopra

48 papers receiving 2.0k 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 Chopra United States 22 1.2k 633 237 149 135 50 2.0k
Mohammad Hossein Sanati Iran 29 1.0k 0.8× 319 0.5× 148 0.6× 111 0.7× 66 0.5× 171 2.5k
Zhen Tian China 36 862 0.7× 308 0.5× 177 0.7× 134 0.9× 56 0.4× 122 2.9k
Yun‐Hee Choi South Korea 31 1.3k 1.0× 324 0.5× 107 0.5× 102 0.7× 34 0.3× 161 3.0k
Yuko Oda United States 38 1.8k 1.5× 309 0.5× 93 0.4× 144 1.0× 205 1.5× 80 3.7k
Changqing Liu China 24 809 0.7× 162 0.3× 151 0.6× 52 0.3× 63 0.5× 181 2.3k
Mei Qin China 33 1.1k 0.9× 644 1.0× 64 0.3× 108 0.7× 499 3.7× 132 3.2k
Wei‐Yong Lin Taiwan 28 647 0.5× 185 0.3× 155 0.7× 84 0.6× 82 0.6× 122 2.2k
Yilin Liu China 24 1.1k 0.9× 771 1.2× 104 0.4× 67 0.4× 26 0.2× 143 2.5k
Jieun Lee South Korea 23 634 0.5× 267 0.4× 72 0.3× 146 1.0× 104 0.8× 125 2.2k
Shanzhi Wang United States 23 1.3k 1.1× 164 0.3× 229 1.0× 57 0.4× 54 0.4× 56 2.7k

Countries citing papers authored by Pankaj Chopra

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Chopra

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Chopra. A scholar is included among the top collaborators of Pankaj Chopra 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 Chopra. Pankaj Chopra 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.
Wang, Hsiao‐Lin V., Tarun N. Bhatia, Yangping Li, et al.. (2025). Mapping the developmental trajectory of human astrocytes reveals divergence in glioblastoma. Nature Cell Biology. 27(2). 347–359. 2 indexed citations
2.
Chopra, Pankaj, et al.. (2024). Model-Based Fault Detection for Series Elastic Actuators. 178–182.
3.
Sharma, Arun Kumar, et al.. (2024). Deciphering the role of VapBC13 and VapBC26 toxin antitoxin systems in the pathophysiology of Mycobacterium tuberculosis. Communications Biology. 7(1). 1417–1417. 2 indexed citations
4.
5.
Albizua, Igor, et al.. (2020). Study of telomere length in men who carry a fragile X premutation or full mutation allele. Human Genetics. 139(12). 1531–1539. 1 indexed citations
6.
Chopra, Pankaj, Chandrani Thakur, Sakshi Agarwal, et al.. (2020). VapC21 Toxin Contributes to Drug-Tolerance and Interacts With Non-cognate VapB32 Antitoxin in Mycobacterium tuberculosis. Frontiers in Microbiology. 11. 2037–2037. 27 indexed citations
7.
Madrid, Andy, Pankaj Chopra, & Reid S. Alisch. (2018). Species-Specific 5 mC and 5 hmC Genomic Landscapes Indicate Epigenetic Contribution to Human Brain Evolution. Frontiers in Molecular Neuroscience. 11. 39–39. 16 indexed citations
8.
Alisch, Reid S., Carol Van Hulle, Pankaj Chopra, et al.. (2017). A multi-dimensional characterization of anxiety in monozygotic twin pairs reveals susceptibility loci in humans. Translational Psychiatry. 7(12). 1282–1282. 17 indexed citations
9.
Vadlapudi, Varahalarao, et al.. (2017). Aspergillus Secondary Metabolite Database, a resource to understand the Secondary metabolome of Aspergillus genus. Scientific Reports. 7(1). 7325–7325. 69 indexed citations
10.
Anderson, Bart R., Pankaj Chopra, Joshua A. Suhl, Stephen T. Warren, & Gary J. Bassell. (2016). Identification of consensus binding sites clarifies FMRP binding determinants. Nucleic Acids Research. 44(14). 6649–6659. 43 indexed citations
11.
Chopra, Pankaj, et al.. (2016). Fabrication of poly(vinyl alcohol)-Carrageenan scaffolds for cryopreservation: Effect of composition on cell viability. Carbohydrate Polymers. 147. 509–516. 43 indexed citations
12.
Nayak, Debasis, Aliva Prity Minz, Sarbani Ashe, et al.. (2016). Synergistic combination of antioxidants, silver nanoparticles and chitosan in a nanoparticle based formulation: Characterization and cytotoxic effect on MCF-7 breast cancer cell lines. Journal of Colloid and Interface Science. 470. 142–152. 95 indexed citations
13.
Li, Sisi, Ligia A. Papale, Qi Zhang, et al.. (2015). Genome-wide alterations in hippocampal 5-hydroxymethylcytosine links plasticity genes to acute stress. Neurobiology of Disease. 86. 99–108. 35 indexed citations
14.
Suhl, Joshua A., Pankaj Chopra, Bart R. Anderson, Gary J. Bassell, & Stephen T. Warren. (2014). Analysis of FMRP mRNA target datasets reveals highly associated mRNAs mediated by G-quadruplex structures formed via clustered WGGA sequences. Human Molecular Genetics. 23(20). 5479–5491. 60 indexed citations
15.
Alisch, Reid S., Tao Wang, Pankaj Chopra, et al.. (2013). Genome-wide analysis validates aberrant methylation in fragile X syndrome is specific to the FMR1locus. BMC Medical Genetics. 14(1). 18–18. 37 indexed citations
16.
Chopra, Pankaj, Jaewoo Kang, & Seung‐Mo Hong. (2013). Comparative meta-analysis between human and mouse cancer microarray data reveals critical pathways. International Journal of Data Mining and Bioinformatics. 8(3). 349–349. 2 indexed citations
17.
Chopra, Pankaj, Jaewoo Kang, Jiong Yang, et al.. (2008). Microarray data mining using landmark gene-guided clustering. BMC Bioinformatics. 9(1). 92–92. 15 indexed citations
18.
Luan, Fu L., Pankaj Chopra, Jeong Mi Park, et al.. (2006). Efficacy of Valganciclovir in the Treatment of Cytomegalovirus Disease in Kidney and Pancreas Transplant Recipients. Transplantation Proceedings. 38(10). 3673–3675. 9 indexed citations
19.
Liu, Richard, Yuanhang Chen, Wei Sun, et al.. (2006). Thermoplastic Pavement Marking Material Thickness Measurement System User Guide. 1 indexed citations
20.
Chopra, Pankaj, et al.. (1968). A membrane combined oxygenator and pump - principles.. PubMed. 14. 233–5. 2 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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