Divya M. Chari
- Molecular Biology
- Developmental Neuroscience top 1%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Biomaterials top 5%
- Co-authors
- Mark R. PickardW. F. BlakemoreWilliam F. BlakemoreStuart I. JenkinsChristopher AdamsA. J. CrangHumphrey H. P. YiuNicolas Granger
- Topics
- Tissue Engineering and Regenerative Medicine (20 papers)Neurogenesis and neuroplasticity mechanisms (17 papers)RNA Interference and Gene Delivery (16 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Divya M. Chari
65 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 647
- Developmental Neuroscience 460
- Biomedical Engineering 435
- Cellular and Molecular Neuroscience 342
- Biomaterials 341
Countries citing papers authored by Divya M. Chari
This map shows the geographic impact of Divya M. Chari'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 Divya M. Chari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya M. Chari more than expected).
Fields of papers citing papers by Divya M. Chari
This network shows the impact of papers produced by Divya M. Chari. 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 Divya M. Chari. The network helps show where Divya M. Chari may publish in the future.
Co-authorship network of co-authors of Divya M. Chari
This figure shows the co-authorship network connecting the top 25 collaborators of Divya M. Chari. A scholar is included among the top collaborators of Divya M. Chari 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 Divya M. Chari. Divya M. Chari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 52 | |
| 9 | 14 | |
| 10 | 16 | |
| 11 | 31 | |
| 12 | 11 | |
| 13 | 19 | |
| 14 | 34 | |
| 15 | 38 | |
| 16 | 74 | |
| 17 | 24 | |
| 18 | 69 | |
| 19 | 48 | |
| 20 | 40 |
About Divya M. Chari
Divya M. Chari is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Biomaterials, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (20 papers), Neurogenesis and neuroplasticity mechanisms (17 papers) and RNA Interference and Gene Delivery (16 papers). The work is most often cited by research in Developmental Neuroscience (460 citations), Biomaterials (341 citations) and Neurology (214 citations). Divya M. Chari has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Mark R. Pickard, W. F. Blakemore, William F. Blakemore, Stuart I. Jenkins, Christopher Adams, A. J. Crang, Humphrey H. P. Yiu, Nicolas Granger, Alinda R. Fernandes and Perrine Barraud. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Nano.
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.