Mayur Madhavan
- Molecular Biology
- Developmental Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging
- Genetics
- Co-authors
- Katia Del Rio‐TsonisPanagiotis A. TsonisJason R. SpenceMindy K. CallBenjamin L.L. ClaytonPaul J. TesarKevin AllanH. Elizabeth Shick
- Topics
- Corneal Surgery and Treatments (7 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)Connexins and lens biology (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesItalyIndia
In The Last Decade
Mayur Madhavan
18 papers receiving 879 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 632
- Developmental Neuroscience 237
- Cellular and Molecular Neuroscience 157
- Radiology, Nuclear Medicine and Imaging 104
- Genetics 91
Countries citing papers authored by Mayur Madhavan
This map shows the geographic impact of Mayur Madhavan'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 Mayur Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayur Madhavan more than expected).
Fields of papers citing papers by Mayur Madhavan
This network shows the impact of papers produced by Mayur Madhavan. 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 Mayur Madhavan. The network helps show where Mayur Madhavan may publish in the future.
Co-authorship network of co-authors of Mayur Madhavan
This figure shows the co-authorship network connecting the top 25 collaborators of Mayur Madhavan. A scholar is included among the top collaborators of Mayur Madhavan 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 Mayur Madhavan. Mayur Madhavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 33 | |
| 3 | 8 | |
| 4 | 240 | |
| 5 | 17 | |
| 6 | 27 | |
| 7 | 10 | |
| 8 | 39 | |
| 9 | 43 | |
| 10 | Retina regeneration in the chick embryo is not induced by spontaneous Mitf downregulation but requires FGF/FGFR/MEK/Erk dependent upregulation of Pax6. | 65 |
| 11 | 46 | |
| 12 | 46 | |
| 13 | 80 | |
| 14 | 7 | |
| 15 | 84 | |
| 16 | Do Complement Molecules Play a Role in Lens Regeneration | 1 |
| 17 | 115 | |
| 18 | 3 |
About Mayur Madhavan
Mayur Madhavan is a scholar working on Developmental Neuroscience, Aging and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 888 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Connexins and lens biology (4 papers). The work is most often cited by research in Developmental Neuroscience (237 citations), Neurology (81 citations) and Molecular Biology (632 citations). Mayur Madhavan has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Katia Del Rio‐Tsonis, Panagiotis A. Tsonis, Jason R. Spence, Mindy K. Call, Benjamin L.L. Clayton, Paul J. Tesar, Kevin Allan, H. Elizabeth Shick, Daniel C. Factor and Zachary S. Nevin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.