Ryan Mayle
Impact in
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- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- DNA and Nucleic Acid Chemistry
- Fungal and yeast genetics research
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- Microtubule and mitosis dynamics
Papers in
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- DNA Repair Mechanisms 5
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
- Molecular Biology Techniques and Applications 1
- RNA and protein synthesis mechanisms 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Co-authors
- Marenda A. Wilson (2 shared papers)Grzegorz Ira (2 shared papers)Patrick Sung (1 shared paper)Youngho Kwon (1 shared paper)Peter Chi (1 shared paper)Anna Malkova (1 shared paper)Yuanyuan Xu (1 shared paper)Hengyao Niu (1 shared paper)
- Journals
- Nature (1 paper)eLife (1 paper)Proceedings of the National Academy of Sciences (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
Ryan Mayle
6 papers receiving 522 citations
Peers
Comparison fields: 5 of 41
- Molecular Biology 492
- Cell Biology 80
- Aging 7
- Cancer Research 50
- Genetics 75
Countries citing papers authored by Ryan Mayle
This map shows the geographic impact of Ryan Mayle'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 Ryan Mayle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Mayle more than expected).
Fields of papers citing papers by Ryan Mayle
This network shows the impact of papers produced by Ryan Mayle. 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 Ryan Mayle. The network helps show where Ryan Mayle may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Mayle, 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 | 2013 | 254 | |
| 2 | 2015 | 154 | |
| 3 | 2017 | 75 | |
| 4 | 2018 | 35 | |
| 5 | 2024 | 3 | |
| 6 | 2021 | 2 |
About Ryan Mayle
Ryan Mayle is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Plant Science and Cancer Research, having authored 6 papers that have together received 523 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Microtubule and mitosis dynamics (1 paper), Molecular Biology Techniques and Applications (1 paper), Plant Genetic and Mutation Studies (1 paper), RNA and protein synthesis mechanisms (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Molecular Biology (492 citations), Cell Biology (80 citations), Aging (7 citations), Cancer Research (50 citations) and Genetics (75 citations). Ryan Mayle has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Marenda A. Wilson, Grzegorz Ira, Patrick Sung, Youngho Kwon, Peter Chi, Anna Malkova, Yuanyuan Xu, Hengyao Niu, Xuefeng Chen and Woo‐Hyun Chung. Their work appears in journals such as Nature, eLife, Proceedings of the National Academy of Sciences, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Biological Chemistry.
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.