Gaurav Chopra
- Immunology top 5%
- Molecular Biology top 10%
- Oncology top 5%
- Neurology top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Jeffrey A. BluestoneYnes HelouArthur WeissJonathan H. EsenstenMichael LevittJonathan FineRam SamudralaJoão Rodrigues
- Topics
- Computational Drug Discovery Methods (18 papers)Metabolomics and Mass Spectrometry Studies (7 papers)Protein Structure and Dynamics (7 papers)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Gaurav Chopra
52 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Immunology 873
- Molecular Biology 855
- Oncology 484
- Neurology 255
- Computational Theory and Mathematics 221
Countries citing papers authored by Gaurav Chopra
This map shows the geographic impact of Gaurav 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 Gaurav Chopra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Chopra more than expected).
Fields of papers citing papers by Gaurav Chopra
This network shows the impact of papers produced by Gaurav 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 Gaurav Chopra. The network helps show where Gaurav Chopra may publish in the future.
Co-authorship network of co-authors of Gaurav Chopra
This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Chopra. A scholar is included among the top collaborators of Gaurav 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 Gaurav Chopra. Gaurav Chopra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Senescent glia link mitochondrial dysfunction and lipid accumulationbreakdown → | 56 |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 25 | |
| 9 | Neurotoxic reactive astrocytes induce cell death via saturated lipidsbreakdown → | 361 |
| 10 | 6 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 90 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | Clinical Evaluation of Anemia in Geriatric Patients - A Cross Sectional Study Conducted At Tertiary Care Hospital - | 1 |
| 19 | 3 | |
| 20 | Haemodynamic and central venous pressure changes in transurethral resection of prostate during general, spinal and epidural anaesthesia: A comparative study | 2 |
About Gaurav Chopra
Gaurav Chopra is a scholar working on Computational Theory and Mathematics, Pharmacology and Neurology, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Protein Structure and Dynamics (7 papers). The work is most often cited by research in Immunology (873 citations), Neurology (255 citations) and Biological Psychiatry (59 citations). Gaurav Chopra has collaborated with scholars based in United States, India and France. Frequent co-authors include Jeffrey A. Bluestone, Ynes Helou, Arthur Weiss, Jonathan H. Esensten, Michael Levitt, Jonathan Fine, Ram Samudrala, João Rodrigues, Prageeth R. Wijewardhane and Christopher M. Summa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.