Koray Dogan Kaya
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- Photoreceptor and optogenetics research 4
- Ophthalmology top 5%
- Retinal Diseases and Treatments 2
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- Retinal Development and Disorders 10
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 2
- Biophysics top 10%
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- Photochromic and Fluorescence Chemistry 2
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- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 2
- Co-authors
- Anand SwaroopLinn GieserMatthew J. BrooksVijender ChaitankarRossukon KaewkhawMatthew BrooksTyler J. DiStefanoLijin Dong
- Partner nations
- United StatesSpainJapan
In The Last Decade
Koray Dogan Kaya
15 papers receiving 738 citations
Peers
Comparison fields: 5 of 64
- Cellular and Molecular Neuroscience 262
- Ophthalmology 109
- Molecular Biology 669
- Developmental Neuroscience 20
- Biophysics 24
Countries citing papers authored by Koray Dogan Kaya
This map shows the geographic impact of Koray Dogan Kaya'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 Koray Dogan Kaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koray Dogan Kaya more than expected).
Fields of papers citing papers by Koray Dogan Kaya
This network shows the impact of papers produced by Koray Dogan Kaya. 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 Koray Dogan Kaya. The network helps show where Koray Dogan Kaya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Koray Dogan Kaya, 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 | 2024 | 3 | |
| 2 | 2021 | 9 | |
| 3 | 2020 | 74 | |
| 4 | 2020 | 4 | |
| 5 | 2020 | 44 | |
| 6 | Transcriptome-based molecular staging of human stem cell-derived retinal organoids uncovers accelerated photoreceptor differentiation by 9-cis retinal. | 2019 | 64 |
| 7 | 2018 | 19 | |
| 8 | 2017 | 150 | |
| 9 | 2016 | 91 | |
| 10 | 2016 | 34 | |
| 11 | Three-dimensional retinal organoids from mouse pluripotent stem cells mimic in vivo development with enhanced stratification and rod photoreceptor differentiation. | 2016 | 70 |
| 12 | 2016 | 34 | |
| 13 | 2015 | 123 | |
| 14 | 2010 | 29 | |
| 15 | 2007 | 1 |
About Koray Dogan Kaya
Koray Dogan Kaya is a scholar working on Cellular and Molecular Neuroscience, Ophthalmology and Molecular Biology, having authored 15 papers that have together received 749 indexed citations. Recurring topics across this work include Retinal Development and Disorders (10 papers), Photoreceptor and optogenetics research (4 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers), Photochromic and Fluorescence Chemistry (2 papers), Retinal Diseases and Treatments (2 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (262 citations), Ophthalmology (109 citations) and Molecular Biology (669 citations). Koray Dogan Kaya has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Anand Swaroop, Linn Gieser, Matthew J. Brooks, Vijender Chaitankar, Rossukon Kaewkhaw, Matthew Brooks, Tyler J. DiStefano, Lijin Dong, Tom Pohida and Nicole Y. Morgan. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.
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.