Chia‐Hsin Chan
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
Papers in
-
- Ubiquitin and proteasome pathways 14
- Epigenetics and DNA Methylation 7
- PI3K/AKT/mTOR signaling in cancer 6
- DNA Repair Mechanisms 5
- FOXO transcription factor regulation 3
- Oncology 18
- Cancer-related Molecular Pathways 15
- Co-authors
- Hui‐Kuan Lin (18 shared papers)Szu-Wei Lee (9 shared papers)Chien‐Feng Li (9 shared papers)Wei-Lei Yang (6 shared papers)Yuan Gao (8 shared papers)Keiichi I. Nakayama (4 shared papers)Mien‐Chie Hung (6 shared papers)Hui-Kuan Lin (4 shared papers)
- Journals
- Molecular Cell (4 papers)Cancer Research (4 papers)Nature Communications (2 papers)Cell (2 papers)Nature Cell Biology (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Chia‐Hsin Chan
38 papers receiving 3.8k citations
Chia‐Hsin Chan's Hit Papers
Peers
Comparison fields: 5 of 102
- Cancer Research 660
- Molecular Biology 2.9k
- Oncology 1.1k
- Geriatrics and Gerontology 123
- Aging 42
Countries citing papers authored by Chia‐Hsin Chan
This map shows the geographic impact of Chia‐Hsin Chan'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 Chia‐Hsin Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Hsin Chan more than expected).
Fields of papers citing papers by Chia‐Hsin Chan
This network shows the impact of papers produced by Chia‐Hsin Chan. 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 Chia‐Hsin Chan. The network helps show where Chia‐Hsin Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Hsin Chan, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The E3 Ligase TRAF6 Regulates Akt Ubiquitination and Activation Hit paper breakdown → | 2009 | 503 |
| 2 | 2012 | 347 | |
| 3 | 2013 | 321 | |
| 4 | 2010 | 317 | |
| 5 | 2009 | 204 | |
| 6 | 2014 | 189 | |
| 7 | 2011 | 181 | |
| 8 | 2010 | 180 | |
| 9 | 2013 | 149 | |
| 10 | 2019 | 111 | |
| 11 | 2012 | 111 | |
| 12 | 2014 | 110 | |
| 13 | 2016 | 103 | |
| 14 | 2010 | 96 | |
| 15 | 2015 | 94 | |
| 16 | 2015 | 91 | |
| 17 | 2016 | 79 | |
| 18 | 2011 | 72 | |
| 19 | 2015 | 71 | |
| 20 | 2019 | 67 |
About Chia‐Hsin Chan
Chia‐Hsin Chan is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Pathology and Forensic Medicine, having authored 39 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (15 papers), Ubiquitin and proteasome pathways (14 papers), Epigenetics and DNA Methylation (7 papers), Microtubule and mitosis dynamics (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), DNA Repair Mechanisms (5 papers) and FOXO transcription factor regulation (3 papers). The work is most often cited by research in Cancer Research (660 citations), Molecular Biology (2.9k citations), Oncology (1.1k citations), Geriatrics and Gerontology (123 citations) and Aging (42 citations). Chia‐Hsin Chan has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hui‐Kuan Lin, Szu-Wei Lee, Chien‐Feng Li, Wei-Lei Yang, Yuan Gao, Keiichi I. Nakayama, Mien‐Chie Hung, Hui-Kuan Lin, Guocan Wang and Pier Paolo Pandolfi. Their work appears in journals such as Molecular Cell, Cancer Research, Nature Communications, Cell and Nature Cell Biology.
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.