Sameeksha Chopra
Impact in
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- Protease and Inhibitor Mechanisms
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Gut microbiota and health 2
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- IL-33, ST2, and ILC Pathways 3
- Co-authors
- Antoine Dufour (7 shared papers)Daniel Young (3 shared papers)Luiz G. Almeida (2 shared papers)Sean E. Gill (1 shared paper)Laurent Devel (1 shared paper)Christopher M. Overall (1 shared paper)Michael R. Hughes (4 shared papers)Kelly M. McNagny (5 shared papers)
- Journals
- ACS Chemical Biology (1 paper)BioTechniques (1 paper)Mucosal Immunology (1 paper)Cell Reports (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Sameeksha Chopra
10 papers receiving 483 citations
Sameeksha Chopra's Hit Papers
Peers
Comparison fields: 5 of 87
- Cancer Research 116
- Developmental Neuroscience 18
- Oncology 87
- Neurology 27
- Immunology and Allergy 18
Countries citing papers authored by Sameeksha Chopra
This map shows the geographic impact of Sameeksha 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 Sameeksha Chopra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameeksha Chopra more than expected).
Fields of papers citing papers by Sameeksha Chopra
This network shows the impact of papers produced by Sameeksha 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 Sameeksha Chopra. The network helps show where Sameeksha Chopra may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameeksha Chopra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Matrix Metalloproteinases: From Molecular Mechanisms to Physiology, Pathophysiology, and Pharmacology Hit paper breakdown → | 2022 | 341 |
| 2 | 2019 | 43 | |
| 3 | 2019 | 26 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 19 | |
| 6 | 2024 | 15 | |
| 7 | 2022 | 9 | |
| 8 | 2025 | 5 | |
| 9 | 2025 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2026 | 0 | |
| 12 | 2025 | 0 |
About Sameeksha Chopra
Sameeksha Chopra is a scholar working on Molecular Biology, Immunology, Hematology, Oncology and Neurology, having authored 12 papers that have together received 486 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Peptidase Inhibition and Analysis (2 papers), Gut microbiota and health (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Protease and Inhibitor Mechanisms (2 papers), Mass Spectrometry Techniques and Applications (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cancer Research (116 citations), Developmental Neuroscience (18 citations), Oncology (87 citations), Neurology (27 citations) and Immunology and Allergy (18 citations). Sameeksha Chopra has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Antoine Dufour, Daniel Young, Luiz G. Almeida, Sean E. Gill, Laurent Devel, Christopher M. Overall, Michael R. Hughes, Kelly M. McNagny, Hans J. Vogel and Yicong Li. Their work appears in journals such as ACS Chemical Biology, BioTechniques, Mucosal Immunology, Cell Reports and The Journal of Experimental Medicine.
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.