Chia‐Hsin Chan
Impact in
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Ubiquitin and proteasome pathways 15
- PI3K/AKT/mTOR signaling in cancer 4
- Mechanisms of cancer metastasis 3
- Epigenetics and DNA Methylation 2
- DNA Repair Mechanisms 2
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Hui‐Kuan Lin (18 shared papers)Szu-Wei Lee (12 shared papers)Chien-Feng L Li (10 shared papers)Wei‐Lei Yang (7 shared papers)Yuan Gao (9 shared papers)Keiichi I. Nakayama (5 shared papers)Mien‐Chie Hung (6 shared papers)Hui-Kuan Lin (4 shared papers)
- Journals
- Molecular Cell (4 papers)Cell (3 papers)Cancer Research (3 papers)Nature Communications (2 papers)Oncogene (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Chia‐Hsin Chan
38 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 2.4k
- Cancer Research 476
- Oncology 587
- Geriatrics and Gerontology 93
- Pulmonary and Respiratory Medicine 322
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 534 | |
| 2 | 2012 | 365 | |
| 3 | 2013 | 349 | |
| 4 | 2010 | 342 | |
| 5 | 2009 | 208 | |
| 6 | 2014 | 204 | |
| 7 | 2011 | 191 | |
| 8 | 2010 | 185 | |
| 9 | 2013 | 163 | |
| 10 | 2014 | 121 | |
| 11 | 2012 | 116 | |
| 12 | 2019 | 115 | |
| 13 | 2016 | 110 | |
| 14 | 2015 | 100 | |
| 15 | 2010 | 99 | |
| 16 | 2015 | 96 | |
| 17 | 2016 | 85 | |
| 18 | 2015 | 74 | |
| 19 | 2011 | 72 | |
| 20 | 2019 | 70 |
About Chia‐Hsin Chan
Chia‐Hsin Chan is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Physiology, having authored 38 papers that have together received 4.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer Cells and Metastasis (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Mechanisms of cancer metastasis (3 papers), Epigenetics and DNA Methylation (2 papers), Prostate Cancer Treatment and Research (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Cancer Research (476 citations), Oncology (587 citations), Geriatrics and Gerontology (93 citations) and Pulmonary and Respiratory Medicine (322 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 L 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, Cell, Cancer Research, Nature Communications and Oncogene.
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.