Chia‐Hua Chen
Impact in
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- Galectins and Cancer Biology
- Immune cells in cancer
Papers in
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- Proteoglycans and glycosaminoglycans research 5
- Genetics 4
- Glioma Diagnosis and Treatment 4
- Co-authors
- Chiung-Yin Huang (5 shared papers)Kuo‐Chen Wei (7 shared papers)Li-Ying Feng (5 shared papers)Pin‐Yuan Chen (2 shared papers)Jiin‐Jyh Shyu (1 shared paper)Yoshito Tobe (1 shared paper)Tsun‐Cheng Wu (1 shared paper)Yao‐Ting Wu (1 shared paper)
- Journals
- PLoS ONE (3 papers)Journal of neurosurgery (2 papers)MATERIALS TRANSACTIONS (2 papers)Neuro-Oncology (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Chia‐Hua Chen
27 papers receiving 606 citations
Peers
Comparison fields: 5 of 86
- Immunology 163
- Cancer Research 83
- Genetics 58
- Ceramics and Composites 27
- Organic Chemistry 123
Countries citing papers authored by Chia‐Hua Chen
This map shows the geographic impact of Chia‐Hua Chen'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‐Hua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Hua Chen more than expected).
Fields of papers citing papers by Chia‐Hua Chen
This network shows the impact of papers produced by Chia‐Hua Chen. 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‐Hua Chen. The network helps show where Chia‐Hua Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Hua Chen, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 133 | |
| 2 | 2010 | 105 | |
| 3 | 2019 | 45 | |
| 4 | 2014 | 42 | |
| 5 | 2013 | 40 | |
| 6 | 2003 | 38 | |
| 7 | 2011 | 35 | |
| 8 | 2014 | 31 | |
| 9 | CHPF promotes malignancy of breast cancer cells by modifying syndecan-4 and the tumor microenvironment. | 2021 | 23 |
| 10 | 2014 | 22 | |
| 11 | 2005 | 18 | |
| 12 | 2013 | 17 | |
| 13 | 2019 | 17 | |
| 14 | 2025 | 15 | |
| 15 | Fucosyltransferase 8 modulates receptor tyrosine kinase activation and temozolomide resistance in glioblastoma cells. | 2021 | 13 |
| 16 | 2019 | 11 | |
| 17 | 2005 | 7 | |
| 18 | 2007 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 4 |
About Chia‐Hua Chen
Chia‐Hua Chen is a scholar working on Cell Biology, Genetics, Cancer Research, Molecular Biology and Immunology, having authored 28 papers that have together received 637 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Proteoglycans and glycosaminoglycans research (5 papers), Glioma Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (2 papers), Neuroblastoma Research and Treatments (2 papers), Fibroblast Growth Factor Research (2 papers), Signaling Pathways in Disease (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Immunology (163 citations), Cancer Research (83 citations), Genetics (58 citations), Ceramics and Composites (27 citations) and Organic Chemistry (123 citations). Chia‐Hua Chen has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Chiung-Yin Huang, Kuo‐Chen Wei, Li-Ying Feng, Pin‐Yuan Chen, Jiin‐Jyh Shyu, Yoshito Tobe, Tsun‐Cheng Wu, Yao‐Ting Wu, Akihiro Shimizu and Chun‐Yen Lin. Their work appears in journals such as PLoS ONE, Journal of neurosurgery, MATERIALS TRANSACTIONS, Neuro-Oncology and Journal of Cellular Physiology.
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.