Ken Flagg
Impact in
- Ophthalmology top 0.5%
- Retinal Diseases and Treatments
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Retinal Diseases and Treatments 4
- Glaucoma and retinal disorders 1
- Genetics 3
- Genetic Associations and Epidemiology 3
- Co-authors
- Kristen Jepsen (1 shared paper)Cherie Tracy Ng (1 shared paper)Andrew M. Gross (1 shared paper)Philipp A. Jaeger (1 shared paper)Brenda Morsey (1 shared paper)Hui Shen (1 shared paper)Kang Zhang (1 shared paper)Katherine Licon (1 shared paper)
- Journals
- Molecular Cell (2 papers)Nature Genetics (2 papers)Nature Communications (1 paper)Nature Materials (1 paper)Human Genetics (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ken Flagg
12 papers receiving 3.4k citations
Ken Flagg's Hit Papers
Peers
Comparison fields: 5 of 110
- Ophthalmology 1.1k
- Cancer Research 448
- Hepatology 248
- Virology 100
- Molecular Biology 1.3k
Countries citing papers authored by Ken Flagg
This map shows the geographic impact of Ken Flagg'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 Ken Flagg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Flagg more than expected).
Fields of papers citing papers by Ken Flagg
This network shows the impact of papers produced by Ken Flagg. 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 Ken Flagg. The network helps show where Ken Flagg may publish in the future.
Co-authors
The 22 scholars most cited alongside Ken Flagg, 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 | A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants Hit paper breakdown → | 2015 | 1272 |
| 2 | Circulating tumour DNA methylation markers for diagnosis and prognosis of hepatocellular carcinoma Hit paper breakdown → | 2017 | 717 |
| 3 | 2017 | 366 | |
| 4 | 2015 | 361 | |
| 5 | 2016 | 243 | |
| 6 | 2013 | 217 | |
| 7 | 2015 | 82 | |
| 8 | 2021 | 66 | |
| 9 | 2020 | 47 | |
| 10 | 2020 | 45 | |
| 11 | 2024 | 27 | |
| 12 | 2014 | 6 |
About Ken Flagg
Ken Flagg is a scholar working on Ophthalmology, Genetics, Molecular Biology, Virology and Pollution, having authored 12 papers that have together received 3.4k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (4 papers), Epigenetics and DNA Methylation (3 papers), Genetic Associations and Epidemiology (3 papers), Glaucoma and retinal disorders (1 paper), Connexins and lens biology (1 paper), HIV Research and Treatment (1 paper), Oil Spill Detection and Mitigation (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Ophthalmology (1.1k citations), Cancer Research (448 citations), Hepatology (248 citations), Virology (100 citations) and Molecular Biology (1.3k citations). Ken Flagg has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kristen Jepsen, Cherie Tracy Ng, Andrew M. Gross, Philipp A. Jaeger, Brenda Morsey, Hui Shen, Kang Zhang, Katherine Licon, Susan Swindells and Mahdieh Khosroheidari. Their work appears in journals such as Molecular Cell, Nature Genetics, Nature Communications, Nature Materials and Human Genetics.
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.