Chia‐Hua Chen

772 citations
28 papers · 603 · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 6
    • Ubiquitin and proteasome pathways 2
    • Fibroblast Growth Factor Research 2
    • Proteoglycans and glycosaminoglycans research 5

Chia‐Hua Chen

28 papers receiving 598 citations

Peers

Chia‐Hua Chen
Comparison fields: 5 of 85
  • Immunology 158
  • Cancer Research 80
  • Genetics 52
  • Ceramics and Composites 27
  • Organic Chemistry 119
Replace Jiayu Yao with:
Jiayu Yao China
Tiejun Zhou China
Zhifen Zhou China
Shuang Wu China
Jinhua Piao China
Emeline J. Ribot France
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Jascha‐N. Rybak Switzerland
Lasse Evensen Norway
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Chia‐Hua Chen relative to Jiayu Yao China Jiayu Yao's profile →
Citations per field
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Jiayu Yao · 1×
Citations per year

Countries citing papers authored by Chia‐Hua Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chia‐Hua Chen Line = papers co-authored together Chia‐Hua Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 201080
3 201441
4 201339
5 201939
6 200338
7 201135
8 201430
9 201024
10
CHPF promotes malignancy of breast cancer cells by modifying syndecan-4 and the tumor microenvironment.
202123
11 201422
12 200518
13 201317
14 201917
15
Fucosyltransferase 8 modulates receptor tyrosine kinase activation and temozolomide resistance in glioblastoma cells.
202112
16 201911
17 20057
18 20215
19 20224
20 20074

About Chia‐Hua Chen

Chia‐Hua Chen is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Immunology, having authored 28 papers that have together received 603 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), Ubiquitin and proteasome pathways (2 papers), Neuroblastoma Research and Treatments (2 papers), Synthesis and Properties of Aromatic Compounds (2 papers), Immune cells in cancer (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Immunology (158 citations), Cancer Research (80 citations), Genetics (52 citations), Ceramics and Composites (27 citations) and Organic Chemistry (119 citations). Chia‐Hua Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Kuo‐Chen Wei, Chiung-Yin Huang, Li-Ying Feng, Jiin‐Jyh Shyu, Pin‐Yuan Chen, Yoshito Tobe, Tsun‐Cheng Wu, Yao‐Ting Wu, Akihiro Shimizu and Min‐Chuan Huang. Their work appears in journals such as PLoS ONE, MATERIALS TRANSACTIONS, Journal of neurosurgery, Clinical Cancer Research and Neuro-Oncology.

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.

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