Shu-Chin Yip
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 3
- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
-
- Cellular Mechanics and Interactions 5
- Microtubule and mitosis dynamics 1
- Co-authors
- Jonathan Backer (9 shared papers)John S. Condeelis (5 shared papers)Marta Miączyńska (1 shared paper)Michael D. Waterfield (1 shared paper)Matthias Wilm (1 shared paper)Liyun Zhao (1 shared paper)Keith Ashman (1 shared paper)Savvas Christoforidis (1 shared paper)
- Journals
- The Journal of Cell Biology (3 papers)Journal of Biological Chemistry (3 papers)Biochemical Journal (1 paper)Journal of Cell Science (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Shu-Chin Yip
10 papers receiving 1.3k citations
Shu-Chin Yip's Hit Papers
Peers
Comparison fields: 5 of 74
- Cell Biology 765
- Immunology and Allergy 169
- Physiology 121
- Molecular Biology 813
- Biophysics 62
Countries citing papers authored by Shu-Chin Yip
This map shows the geographic impact of Shu-Chin 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 Shu-Chin Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu-Chin Yip more than expected).
Fields of papers citing papers by Shu-Chin Yip
This network shows the impact of papers produced by Shu-Chin 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 Shu-Chin Yip. The network helps show where Shu-Chin Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu-Chin 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 | Phosphatidylinositol-3-OH kinases are Rab5 effectors Hit paper breakdown → | 1999 | 527 |
| 2 | 2007 | 210 | |
| 3 | 2004 | 202 | |
| 4 | 2009 | 80 | |
| 5 | 2000 | 77 | |
| 6 | 2005 | 70 | |
| 7 | 2007 | 58 | |
| 8 | 2003 | 41 | |
| 9 | 2008 | 34 | |
| 10 | 2001 | 22 |
About Shu-Chin Yip
Shu-Chin Yip is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Oncology and Surgery, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Cell Adhesion Molecules Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Ubiquitin and proteasome pathways (1 paper), Galectins and Cancer Biology (1 paper), Protein Degradation and Inhibitors (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cell Biology (765 citations), Immunology and Allergy (169 citations), Physiology (121 citations), Molecular Biology (813 citations) and Biophysics (62 citations). Shu-Chin Yip has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jonathan Backer, John S. Condeelis, Marta Miączyńska, Michael D. Waterfield, Matthias Wilm, Liyun Zhao, Keith Ashman, Savvas Christoforidis, Marino Zerial and Robert J. Eddy. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Biochemical Journal, Journal of Cell Science and Cancer Research.
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.