Divya Sinha
Impact in
- Ophthalmology top 10%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
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- Retinal Development and Disorders
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Ion channel regulation and function
Papers in
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- Retinal Development and Disorders 7
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 1
- Genetics 1
- Virus-based gene therapy research 1
- Co-authors
- David M. Gamm (9 shared papers)Kimberly L. Edwards (3 shared papers)M. Joseph Phillips (2 shared papers)Rasa Valiauga (2 shared papers)Elizabeth E. Capowski (2 shared papers)Lindsey D. Jager (2 shared papers)Steven J. Mayerl (2 shared papers)Alex D. Jansen (1 shared paper)
- Journals
- The American Journal of Human Genetics (2 papers)Stem Cell Reports (2 papers)Development (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Divya Sinha
9 papers receiving 511 citations
Peers
Comparison fields: 5 of 35
- Ophthalmology 68
- Molecular Biology 434
- Developmental Neuroscience 7
- Biomedical Engineering 31
- Acoustics and Ultrasonics 1
Countries citing papers authored by Divya Sinha
This map shows the geographic impact of Divya Sinha'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 Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Sinha more than expected).
Fields of papers citing papers by Divya Sinha
This network shows the impact of papers produced by Divya Sinha. 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 Sinha. The network helps show where Divya Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Sinha, 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 | 2018 | 254 | |
| 2 | 2017 | 80 | |
| 3 | 2018 | 50 | |
| 4 | 2020 | 46 | |
| 5 | 2019 | 28 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 17 | |
| 8 | 2016 | 16 | |
| 9 | 2025 | 2 |
About Divya Sinha
Divya Sinha is a scholar working on Molecular Biology, Genetics, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 9 papers that have together received 517 indexed citations. Recurring topics across this work include Retinal Development and Disorders (7 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Ophthalmology (68 citations), Molecular Biology (434 citations), Developmental Neuroscience (7 citations), Biomedical Engineering (31 citations) and Acoustics and Ultrasonics (1 citation). Divya Sinha has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include David M. Gamm, Kimberly L. Edwards, M. Joseph Phillips, Rasa Valiauga, Elizabeth E. Capowski, Lindsey D. Jager, Steven J. Mayerl, Alex D. Jansen, Donald J. Zack and Sara E. Howden. Their work appears in journals such as The American Journal of Human Genetics, Stem Cell Reports, Development, Investigative Ophthalmology & Visual Science and Journal of Clinical Investigation.
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.