Matthew C. J. Yip
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
Papers in
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- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 5
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 2
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- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Sichen Shao (10 shared papers)Alan Brown (2 shared papers)Alexander F. A. Keszei (3 shared papers)J. Murray (1 shared paper)Tom A. Rapoport (1 shared paper)Benjamin R. Morehouse (1 shared paper)Philip J. Kranzusch (1 shared paper)Sandeep Singh (1 shared paper)
- Journals
- Nature Structural & Molecular Biology (4 papers)eLife (2 papers)Molecular Cell (1 paper)Cell Reports (1 paper)Trends in Biochemical Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Matthew C. J. Yip
13 papers receiving 492 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 385
- Structural Biology 7
- Cell Biology 60
- Genetics 81
- Immunology 55
Countries citing papers authored by Matthew C. J. Yip
This map shows the geographic impact of Matthew C. J. Yip'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 Matthew C. J. Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. J. Yip more than expected).
Fields of papers citing papers by Matthew C. J. Yip
This network shows the impact of papers produced by Matthew C. J. Yip. 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 Matthew C. J. Yip. The network helps show where Matthew C. J. Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew C. J. Yip, 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 | 2018 | 93 | |
| 2 | 2022 | 83 | |
| 3 | 2019 | 64 | |
| 4 | 2020 | 59 | |
| 5 | 2021 | 57 | |
| 6 | 2020 | 53 | |
| 7 | 2020 | 31 | |
| 8 | 2022 | 14 | |
| 9 | 2024 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2024 | 8 | |
| 12 | 2025 | 8 | |
| 13 | 2025 | 1 |
About Matthew C. J. Yip
Matthew C. J. Yip is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Immunology, having authored 13 papers that have together received 493 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (5 papers), Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Peptidase Inhibition and Analysis (2 papers), interferon and immune responses (2 papers), RNA Research and Splicing (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Molecular Biology (385 citations), Structural Biology (7 citations), Cell Biology (60 citations), Genetics (81 citations) and Immunology (55 citations). Matthew C. J. Yip has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Sichen Shao, Alan Brown, Alexander F. A. Keszei, J. Murray, Tom A. Rapoport, Benjamin R. Morehouse, Philip J. Kranzusch, Sandeep Singh, Miao Gui and Michael J. McKenna. Their work appears in journals such as Nature Structural & Molecular Biology, eLife, Molecular Cell, Cell Reports and Trends in Biochemical Sciences.
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.