Fred K. Chen
- Ophthalmology top 0.1%
- Retinal Diseases and Treatments 130
- Glaucoma and retinal disorders 58
- Retinal and Optic Conditions 36
-
- Retinal Imaging and Analysis 74
- Retinal and Macular Surgery 20
- Molecular Biology top 5%
- Retinal Development and Disorders 90
- CRISPR and Genetic Engineering 27
- Biomedical Engineering top 5%
-
- Ophthalmology and Visual Impairment Studies 25
- Co-authors
- Lyndon da CruzVladimir StojanovićPraveen J. PatelAdnan TufailAnantha P. ChandrakasanDavid A. MackeyPeter CoffeyDanuta M. Sampson
- Journals
- Investigative Ophthalmology & Visual Science (28 papers)Translational Vision Science & Technology (19 papers)Clinical and Experimental Ophthalmology (17 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Fred K. Chen
275 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 166
- Ophthalmology 3.3k
- Radiology, Nuclear Medicine and Imaging 2.5k
- Cellular and Molecular Neuroscience 527
- Molecular Biology 1.7k
- Biomedical Engineering 846
Countries citing papers authored by Fred K. Chen
This map shows the geographic impact of Fred K. Chen'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 Fred K. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred K. Chen more than expected).
Fields of papers citing papers by Fred K. Chen
This network shows the impact of papers produced by Fred K. Chen. 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 Fred K. Chen. The network helps show where Fred K. Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fred K. Chen, 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 | 2025 | 1 | |
| 2 | 2024 | 14 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 11 | |
| 19 | 2017 | 66 | |
| 20 | DETECTION OF CHROMOSOMAL ABERRATIONS ASSOCIATED WITH PROGNOSIS OF UVEAL MELANOMA USING CIRCULATING TUMOUR CELLS | 2017 | 1 |
About Fred K. Chen
Fred K. Chen is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 297 papers that have together received 6.1k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (130 papers), Retinal Development and Disorders (90 papers), Retinal Imaging and Analysis (74 papers), Glaucoma and retinal disorders (58 papers), Retinal and Optic Conditions (36 papers), CRISPR and Genetic Engineering (27 papers), Ophthalmology and Visual Impairment Studies (25 papers) and Retinal and Macular Surgery (20 papers). The work is most often cited by research in Ophthalmology (3.3k citations), Radiology, Nuclear Medicine and Imaging (2.5k citations) and Cellular and Molecular Neuroscience (527 citations). Fred K. Chen has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Lyndon da Cruz, Vladimir Stojanović, Praveen J. Patel, Adnan Tufail, Anantha P. Chandrakasan, David A. Mackey, Peter Coffey, Danuta M. Sampson, Gary S. Rubin and Samuel McLenachan. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Translational Vision Science & Technology, Clinical and Experimental Ophthalmology, Stem Cell Research and Ophthalmology Retina.
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.