Priya Mathur

1.9k citations
83 papers · 1.5k · h-index 21

Impact in

    • Zebrafish Biomedical Research Applications
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Priya Mathur

72 papers receiving 1.4k citations

Peers

Priya Mathur
Comparison fields: 5 of 142
  • Cell Biology 523
  • Neurology 106
  • Developmental Neuroscience 39
  • Cellular and Molecular Neuroscience 174
  • Nature and Landscape Conservation 94
Replace Michele Guescini with:
Michele Guescini Italy
Kyoko Nakamura Japan
Morgan Newman Australia
Thomas Ringer Germany
Guodong Huang China
Heather D. VanGuilder United States
William S. Redfern United Kingdom
Nicolas Dzamko Australia
Alix M.B. Lacoste United States
Mengqi Chen China
Priya Mathur relative to Michele Guescini Italy Michele Guescini's profile →
Citations per field
00.5×8.5×
Michele Guescini · 1×
Citations per year

Countries citing papers authored by Priya Mathur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Priya Mathur Line = papers co-authored together Priya Mathur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011165
2 2011128
3 2010108
4 200777
5 202175
6 201171
7 200667
8 201063
9 200853
10 202151
11 202149
12 201848
13 200944
14 201136
15 200735
16 202033
17 200824
18 201622
19 202022
20 200020

About Priya Mathur

Priya Mathur is a scholar working on Biomedical Engineering, Mechanical Engineering, Computational Mechanics, Cell Biology and Molecular Biology, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (26 papers), Heat Transfer Mechanisms (13 papers), Fluid Dynamics and Turbulent Flows (13 papers), Heat Transfer and Optimization (11 papers), Zebrafish Biomedical Research Applications (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), South Asian Studies and Conflicts (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Cell Biology (523 citations), Neurology (106 citations), Developmental Neuroscience (39 citations), Cellular and Molecular Neuroscience (174 citations) and Nature and Landscape Conservation (94 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 Hafız Muhammad Ali. Their work appears in journals such as Journal of Neuroscience, Proceedings of the National Academy of Sciences, Phytotherapy Research, Breast Cancer Research and Treatment and Behavioural Brain 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.

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