Anuradha Mathur
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Endocrine and Autonomic Systems top 10%
- Social Psychology
- Co-authors
- John S. YeomansMaria TampakerasBryce T. McLellandMagdalene J. SeilerRobert B. AramantBin LinBiju B. ThomasDiego A. Golombék
- Topics
- Retinal Development and Disorders (5 papers)Photoreceptor and optogenetics research (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Journals
- Journal of NeuroscienceBrain ResearchAmerican Journal of Physiology-Regulatory, Integrative and Comparative Physiology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Anuradha Mathur
13 papers receiving 609 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 437
- Molecular Biology 355
- Cognitive Neuroscience 165
- Endocrine and Autonomic Systems 98
- Social Psychology 68
Countries citing papers authored by Anuradha Mathur
This map shows the geographic impact of Anuradha 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 Anuradha Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuradha Mathur more than expected).
Fields of papers citing papers by Anuradha Mathur
This network shows the impact of papers produced by Anuradha 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 Anuradha Mathur. The network helps show where Anuradha Mathur may publish in the future.
Co-authorship network of co-authors of Anuradha Mathur
This figure shows the co-authorship network connecting the top 25 collaborators of Anuradha Mathur. A scholar is included among the top collaborators of Anuradha Mathur 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 Anuradha Mathur. Anuradha Mathur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 33 | |
| 3 | 24 | |
| 4 | 115 | |
| 5 | 37 | |
| 6 | Human retinal progenitor sheet transplants in immunodeficient retinal degenerate (RD) rats | 1 |
| 7 | 3 | |
| 8 | Soak: Mumbai in an Estuary | 9 |
| 9 | 58 | |
| 10 | 7 | |
| 11 | 41 | |
| 12 | 157 | |
| 13 | 137 | |
| 14 | Histochemical study on the innervation of the heart of Pteropus giganteus. | 1 |
About Anuradha Mathur
Anuradha Mathur is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Ophthalmology, having authored 14 papers that have together received 626 indexed citations. Recurring topics across this work include Retinal Development and Disorders (5 papers), Photoreceptor and optogenetics research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (437 citations), Endocrine and Autonomic Systems (98 citations) and Cognitive Neuroscience (165 citations). Anuradha Mathur has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John S. Yeomans, Maria Tampakeras, Bryce T. McLelland, Magdalene J. Seiler, Robert B. Aramant, Bin Lin, Biju B. Thomas, Diego A. Golombék, Martin R. Ralph and Gabriel Nistor. Their work appears in journals such as Journal of Neuroscience, Brain Research and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.
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.