Priya Mathur
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications 10
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 5
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- Neurotransmitter Receptor Influence on Behavior 3
- Developmental Neuroscience top 10%
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- Nanofluid Flow and Heat Transfer 25
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- Heat Transfer Mechanisms 12
- Heat Transfer and Optimization 11
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- Fluid Dynamics and Turbulent Flows 12
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- Connexins and lens biology 3
- Co-authors
- Su GuoBilly Y. B. LauS. R. MishraGeorgianna G. GouldGeoffrey L. GreeneHoyee LeongMahendra WagleMichael A. Berberoglu
- Journals
- Phytotherapy Research (2 papers)Behavioural Brain Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
Priya Mathur
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 141
- Cell Biology 532
- Neurology 114
- Cellular and Molecular Neuroscience 184
- Developmental Neuroscience 39
- Nature and Landscape Conservation 96
Countries citing papers authored by Priya Mathur
This map shows the geographic impact of Priya Mathur'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 Priya Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Mathur more than expected).
Fields of papers citing papers by Priya Mathur
This network shows the impact of papers produced by Priya Mathur. 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 Priya Mathur. The network helps show where Priya Mathur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Priya Mathur, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 69 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 22 | |
| 15 | 2019 | 7 | |
| 16 | 2016 | 22 | |
| 17 | Pharmacotherapy of glaucoma | 2002 | 10 |
| 18 | 2000 | 20 | |
| 19 | An Exchange Market Pressure Model for India | 1999 | 3 |
| 20 | 1998 | 14 |
About Priya Mathur
Priya Mathur is a scholar working on Modeling and Simulation, Computational Mechanics and Cell Biology, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (25 papers), Heat Transfer Mechanisms (12 papers), Fluid Dynamics and Turbulent Flows (12 papers), Heat Transfer and Optimization (11 papers), Zebrafish Biomedical Research Applications (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Connexins and lens biology (3 papers). The work is most often cited by research in Cell Biology (532 citations), Neurology (114 citations) and Cellular and Molecular Neuroscience (184 citations). Priya Mathur has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Su Guo, Billy Y. B. Lau, S. R. Mishra, Georgianna G. Gould, Geoffrey L. Greene, Hoyee Leong, Mahendra Wagle, Michael A. Berberoglu, Amit Kumar Gupta and Vishwajit L. Nimgaonkar. Their work appears in journals such as Phytotherapy Research, Behavioural Brain Research, Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Thermal Analysis and Calorimetry.
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.