Arthur Ko
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetic Associations and Epidemiology
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 3
- Genetics 13
- Genetic Associations and Epidemiology 7
- Genetic Mapping and Diversity in Plants and Animals 3
- Genomics and Rare Diseases 3
- Co-authors
- Evan E. Eichler (3 shared papers)Maika Malig (3 shared papers)Peter H. Sudmant (3 shared papers)Brian J. O’Roak (2 shared papers)Päivi Pajukanta (15 shared papers)Niklas Krumm (1 shared paper)Deborah A. Nickerson (1 shared paper)Aaron R. Quinlan (1 shared paper)
- Journals
- Nature Communications (3 papers)PLoS Genetics (2 papers)Stroke (1 paper)Scientific Reports (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Arthur Ko
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Genetics 534
- Cancer Research 270
- Molecular Biology 613
- Sensory Systems 20
- Developmental Neuroscience 15
Countries citing papers authored by Arthur Ko
This map shows the geographic impact of Arthur Ko'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 Arthur Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Ko more than expected).
Fields of papers citing papers by Arthur Ko
This network shows the impact of papers produced by Arthur Ko. 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 Arthur Ko. The network helps show where Arthur Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Arthur Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 411 | |
| 2 | 2020 | 212 | |
| 3 | 2012 | 140 | |
| 4 | 2018 | 57 | |
| 5 | 2019 | 45 | |
| 6 | 2013 | 42 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 30 | |
| 9 | 2019 | 28 | |
| 10 | 2019 | 26 | |
| 11 | 2015 | 24 | |
| 12 | 1998 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2016 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2017 | 5 | |
| 20 | 2023 | 4 |
About Arthur Ko
Arthur Ko is a scholar working on Molecular Biology, Genetics, Cancer Research, Epidemiology and Physiology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genomics and Rare Diseases (3 papers), Cancer-related molecular mechanisms research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Genetics (534 citations), Cancer Research (270 citations), Molecular Biology (613 citations), Sensory Systems (20 citations) and Developmental Neuroscience (15 citations). Arthur Ko has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Evan E. Eichler, Maika Malig, Peter H. Sudmant, Brian J. O’Roak, Päivi Pajukanta, Niklas Krumm, Deborah A. Nickerson, Aaron R. Quinlan, Bradley P. Coe and Marcus Alvarez. Their work appears in journals such as Nature Communications, PLoS Genetics, Stroke, Scientific Reports and Nature 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.