Pradeep Chopra

2.6k total citations
77 papers, 1.5k citations indexed

About

Pradeep Chopra is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Pradeep Chopra has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 27 papers in Cell Biology and 25 papers in Surgery. Recurrent topics in Pradeep Chopra's work include Proteoglycans and glycosaminoglycans research (23 papers), Glycosylation and Glycoproteins Research (19 papers) and Carbohydrate Chemistry and Synthesis (16 papers). Pradeep Chopra is often cited by papers focused on Proteoglycans and glycosaminoglycans research (23 papers), Glycosylation and Glycoproteins Research (19 papers) and Carbohydrate Chemistry and Synthesis (16 papers). Pradeep Chopra collaborates with scholars based in United States, Netherlands and Oman. Pradeep Chopra's co-authors include Geert‐Jan Boons, Norman Oneil Machado, Asit K. Chakraborti, Dinesh Kumar, Sudipta Raha Roy, Antonio Bulbena, Margreet A. Wolfert, Mark S. Cooper, Lin Liu and Clair A. Francomano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Pradeep Chopra

71 papers receiving 1.4k citations

Peers

Pradeep Chopra

SURGE

GENET

Sang Yeul Lee South Korea

Stéphane Honoré France

Jung‐Mo Ahn United States

Geneviève Durand France

Jooyoung Kim South Korea

M. Matusiewicz Poland

Takayuki Ando Japan

Zhengyu Zhang China

Steve Briggs United States

Christopher T. Campbell United States

Sang Yeul Lee South Korea

Pradeep Chopra

334 ×0.7

291 ×0.8

246 ×0.7

SURGE

227 ×0.7

125 ×0.5

GENET

Citations per year, relative to Pradeep Chopra Pradeep Chopra (= 1×) peers Sang Yeul Lee

Countries citing papers authored by Pradeep Chopra

Since Specialization

Citations

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

Fields of papers citing papers by Pradeep Chopra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Chopra

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Chopra. A scholar is included among the top collaborators of Pradeep 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 Pradeep Chopra. Pradeep Chopra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Basu, Amrita, Stephanie Archer‐Hartmann, Pradeep Chopra, et al.. (2025). Quantitative HILIC-Q-TOF-MS Analysis of Glycosaminoglycans and Non-reducing End Carbohydrate Biomarkers via Glycan Reductive Isotopic Labeling. Analytical Chemistry. 97(32). 17490–17500.

Chopra, Pradeep, Ginger Geiger, Rose Miller, et al.. (2025). N-glycosylation at the receptor binding site drives differences in receptor binding specificity between influenza B virus lineages. Journal of Virology. 99(11). e0103925–e0103925.

Chopra, Pradeep, et al.. (2024). Neuritogenic glycosaminoglycan hydrogels promote functional recovery after severe traumatic brain injury. Journal of Neural Engineering. 21(3). 36058–36058. 2 indexed citations

Prestegard, James H., et al.. (2024). Neural net analysis of NMR spectra from strongly-coupled spin systems. Journal of Magnetic Resonance. 368. 107792–107792. 1 indexed citations

Chopra, Pradeep, Ilhan Tomris, Roosmarijn van der Woude, et al.. (2023). Well-Defined Heparin Mimetics Can Inhibit Binding of the Trimeric Spike of SARS-CoV-2 in a Length-Dependent Manner. JACS Au. 3(4). 1185–1195. 8 indexed citations

Chopra, Pradeep, et al.. (2023). Synthetic Heparanase Inhibitors Can Prevent Herpes Simplex Viral Spread. Angewandte Chemie International Edition. 62(41). e202309838–e202309838. 12 indexed citations

Karlsson, Richard, Pradeep Chopra, Zhang Yang, et al.. (2021). Dissecting structure-function of 3-O-sulfated heparin and engineered heparan sulfates. Science Advances. 7(52). eabl6026–eabl6026. 40 indexed citations

Chopra, Pradeep, Jiandong Wu, Weigang Lü, et al.. (2021). The 3- O -sulfation of heparan sulfate modulates protein binding and lyase degradation. Proceedings of the National Academy of Sciences. 118(3). 56 indexed citations

Miller, Rebecca L., Scott E. Guimond, Ralf Schwörer, et al.. (2020). Shotgun ion mobility mass spectrometry sequencing of heparan sulfate saccharides. Nature Communications. 11(1). 1481–1481. 49 indexed citations

10.

Lettow, Maike, Márkó Grabarics, Kim Greis, et al.. (2020). Cryogenic Infrared Spectroscopy Reveals Structural Modularity in the Vibrational Fingerprints of Heparan Sulfate Diastereomers. Analytical Chemistry. 92(15). 10228–10232. 21 indexed citations

11.

Chopra, Pradeep, Meghan Logun, Evan M. White, et al.. (2019). Fully Synthetic Heparan Sulfate-Based Neural Tissue Construct That Maintains the Undifferentiated State of Neural Stem Cells. ACS Chemical Biology. 14(9). 1921–1929. 12 indexed citations

12.

Hogan, John D., Joshua Klein, Jiandong Wu, et al.. (2018). Software for Peak Finding and Elemental Composition Assignment for Glycosaminoglycan Tandem Mass Spectra. Molecular & Cellular Proteomics. 17(7). 1448–1456. 23 indexed citations

13.

Blitshteyn, Svetlana & Pradeep Chopra. (2018). Chronic Fatigue Syndrome: From Chronic Fatigue to More Specific Syndromes. European Neurology. 80(1-2). 73–77. 12 indexed citations

14.

Wu, Jiandong, Juan Wei, John D. Hogan, et al.. (2018). Negative Electron Transfer Dissociation Sequencing of 3-O-Sulfation-Containing Heparan Sulfate Oligosaccharides. Journal of the American Society for Mass Spectrometry. 29(6). 1262–1272. 21 indexed citations

15.

Chopra, Pradeep, Brad T. Tinkle, C. Hamonet, et al.. (2017). Pain management in the Ehlers–Danlos syndromes. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 175(1). 212–219. 122 indexed citations

16.

Weinstock, Leonard B., et al.. (2016). Identification and Treatment of New Inflammatory Triggers for Complex Regional Pain Syndrome. A & A Case Reports. 6(9). 272–276. 15 indexed citations

17.

Chopra, Pradeep, et al.. (2014). Meralgia paraesthetica: Laparoscopic surgery as a cause then and a cure now. Journal of Minimal Access Surgery. 10(3). 159–159. 2 indexed citations

18.

Chopra, Pradeep & Mark S. Cooper. (2013). Treatment of Complex Regional Pain Syndrome (CRPS) Using Low Dose Naltrexone (LDN). Journal of Neuroimmune Pharmacology. 8(3). 470–476. 45 indexed citations

19.

Chopra, Pradeep, et al.. (2012). Rethinking the Psychogenic Model of Complex Regional Pain Syndrome: Somatoform Disorders and Complex Regional Pain Syndrome. Anesthesiology and Pain Medicine. 2(2). 54–59. 12 indexed citations

20.

Chopra, Pradeep, et al.. (1977). Acute tubercular appendicitis.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 62(10). 563–4. 7 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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