C. Yu
Impact in
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- Transgenic Plants and Applications
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- Microtubule and mitosis dynamics
Papers in
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- Photosynthetic Processes and Mechanisms 5
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 3
- RNA modifications and cancer 3
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- Microtubule and mitosis dynamics 3
- Co-authors
- Kam‐Bo Wong (4 shared papers)Stefan M.V. Freund (8 shared papers)Pang‐Chui Shaw (2 shared papers)Kong‐Hung Sze (2 shared papers)Stephen H. McLaughlin (4 shared papers)David Barford (3 shared papers)Sarah Maslen (3 shared papers)Guang Zhu (1 shared paper)
- Journals
- Journal of Vision (4 papers)Nucleic Acids Research (4 papers)Nature Communications (1 paper)Nature Structural & Molecular Biology (1 paper)Protein Science (1 paper)
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
C. Yu
19 papers receiving 217 citations
Peers
Comparison fields: 5 of 56
- Biotechnology 28
- Cell Biology 52
- Immunology 50
- Molecular Biology 151
- Structural Biology 2
Countries citing papers authored by C. Yu
This map shows the geographic impact of C. Yu'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 C. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Yu more than expected).
Fields of papers citing papers by C. Yu
This network shows the impact of papers produced by C. Yu. 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 C. Yu. The network helps show where C. Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Yu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 36 | |
| 2 | 2013 | 36 | |
| 3 | 2011 | 28 | |
| 4 | 2021 | 25 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 15 | |
| 8 | 2011 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2010 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2025 | 0 |
About C. Yu
C. Yu is a scholar working on Molecular Biology, Cell Biology, Cognitive Neuroscience, Genetics and Nephrology, having authored 21 papers that have together received 219 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (5 papers), RNA and protein synthesis mechanisms (5 papers), Visual perception and processing mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), RNA Research and Splicing (3 papers), Microtubule and mitosis dynamics (3 papers), RNA modifications and cancer (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Biotechnology (28 citations), Cell Biology (52 citations), Immunology (50 citations), Molecular Biology (151 citations) and Structural Biology (2 citations). C. Yu has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Kam‐Bo Wong, Stefan M.V. Freund, Pang‐Chui Shaw, Kong‐Hung Sze, Stephen H. McLaughlin, David Barford, Sarah Maslen, Guang Zhu, Denise Chan and Toshio Uchiumi. Their work appears in journals such as Journal of Vision, Nucleic Acids Research, Nature Communications, Nature Structural & Molecular Biology and Protein Science.
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.