Yu‐Chi Juang
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Ion Transport and Channel Regulation
- Protein Kinase Regulation and GTPase Signaling
- Ion channel regulation and function
- Protein Degradation and Inhibitors
-
- interferon and immune responses
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- Ion Transport and Channel Regulation 4
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 3
- Melanoma and MAPK Pathways 2
- RNA regulation and disease 2
- 14-3-3 protein interactions 2
- Co-authors
- Melanie H. Cobb (8 shared papers)Svetlana Earnest (5 shared papers)Frank Sicheri (5 shared papers)Derek F. Ceccarelli (4 shared papers)Yingming Zhao (3 shared papers)Anthony Anselmo (1 shared paper)Wei Chen (1 shared paper)Sung Chan Kim (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)Biochemistry (2 papers)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Yu‐Chi Juang
16 papers receiving 913 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 801
- Immunology 154
- Cancer Research 105
- Cell Biology 106
- Oncology 176
Countries citing papers authored by Yu‐Chi Juang
This map shows the geographic impact of Yu‐Chi Juang'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 Yu‐Chi Juang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chi Juang more than expected).
Fields of papers citing papers by Yu‐Chi Juang
This network shows the impact of papers produced by Yu‐Chi Juang. 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 Yu‐Chi Juang. The network helps show where Yu‐Chi Juang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Chi Juang, 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 | 217 | |
| 2 | 2012 | 162 | |
| 3 | 2006 | 152 | |
| 4 | 2014 | 107 | |
| 5 | 2010 | 65 | |
| 6 | 2020 | 55 | |
| 7 | 2006 | 26 | |
| 8 | 2008 | 25 | |
| 9 | 2009 | 24 | |
| 10 | 2019 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2015 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2012 | 15 | |
| 15 | 2012 | 4 | |
| 16 | 2018 | 2 |
About Yu‐Chi Juang
Yu‐Chi Juang is a scholar working on Molecular Biology, Cell Biology, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 922 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Ion Transport and Channel Regulation (4 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Pancreatic function and diabetes (2 papers), Melanoma and MAPK Pathways (2 papers), RNA regulation and disease (2 papers) and 14-3-3 protein interactions (2 papers). The work is most often cited by research in Molecular Biology (801 citations), Immunology (154 citations), Cancer Research (105 citations), Cell Biology (106 citations) and Oncology (176 citations). Yu‐Chi Juang has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Melanie H. Cobb, Svetlana Earnest, Frank Sicheri, Derek F. Ceccarelli, Yingming Zhao, Anthony Anselmo, Wei Chen, Sung Chan Kim, Hao Huang and Daniel Y.L. Mao. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, Proceedings of the National Academy of Sciences, Biochemistry and SLAS DISCOVERY.
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.