Ryan L. Kan
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Cancer-related gene regulation
Papers in
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- Single-cell and spatial transcriptomics 1
- Genomics and Chromatin Dynamics 1
- RNA modifications and cancer 1
- Cancer-related gene regulation 1
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- Chromosomal and Genetic Variations 2
- Plant Molecular Biology Research 1
- Co-authors
- Jianjun Chen (1 shared paper)Tamer Sallam (1 shared paper)Melody M. H. Li (1 shared paper)Emily Yang (1 shared paper)Steven E. Jacobsen (2 shared papers)Zheng Li (2 shared papers)Zhenhui Zhong (1 shared paper)Ming Wang (1 shared paper)
- Journals
- Cell Reports (2 papers)Nature Neuroscience (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)Epigenetics & Chromatin (1 paper)Trends in Genetics (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Ryan L. Kan
7 papers receiving 248 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 91
- Molecular Biology 200
- Immunology 32
- Plant Science 35
- Physiology 4
Countries citing papers authored by Ryan L. Kan
This map shows the geographic impact of Ryan L. Kan'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 L. Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan L. Kan more than expected).
Fields of papers citing papers by Ryan L. Kan
This network shows the impact of papers produced by Ryan L. Kan. 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 L. Kan. The network helps show where Ryan L. Kan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan L. Kan, 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 | 2021 | 183 | |
| 2 | 2023 | 27 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 16 | |
| 5 | 2026 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2026 | 0 |
About Ryan L. Kan
Ryan L. Kan is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Public Health, Environmental and Occupational Health and Biophysics, having authored 8 papers that have together received 249 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (2 papers), Single-cell and spatial transcriptomics (1 paper), Plant Molecular Biology Research (1 paper), Cell Image Analysis Techniques (1 paper), interferon and immune responses (1 paper), Genomics and Chromatin Dynamics (1 paper), RNA modifications and cancer (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Cancer Research (91 citations), Molecular Biology (200 citations), Immunology (32 citations), Plant Science (35 citations) and Physiology (4 citations). Ryan L. Kan has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Jianjun Chen, Tamer Sallam, Melody M. H. Li, Emily Yang, Steven E. Jacobsen, Zheng Li, Zhenhui Zhong, Ming Wang, James A. Wohlschlegel and Javier Gallego‐Bartolomé. Their work appears in journals such as Cell Reports, Nature Neuroscience, Frontiers in Cellular and Infection Microbiology, Epigenetics & Chromatin and Trends in 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.