Chia‐Hua Chen

748 citations
28 papers · 590 · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 6
    • Ubiquitin and proteasome pathways 3
    • Signaling Pathways in Disease 2
    • Proteoglycans and glycosaminoglycans research 5

Chia‐Hua Chen

27 papers receiving 585 citations

Peers

Chia‐Hua Chen
Comparison fields: 5 of 86
  • Immunology 172
  • Cancer Research 94
  • Genetics 57
  • Ceramics and Composites 27
  • Neurology 36
Replace Samuel Meignan with:
Samuel Meignan France
Linhong Sun United States
Tiejun Zhou China
Jascha‐N. Rybak Switzerland
Jinhua Piao China
Francis W. Hunter New Zealand
Rachele Alzani Italy
Lasse Evensen Norway
Mengrou Lu United States
Diana Behrens Germany
Chia‐Hua Chen relative to Samuel Meignan France Samuel Meignan's profile →
Citations per field
00.5×3.2×
Samuel Meignan · 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 2019119
2 201080
3 201441
4 201339
5 200338
6 201937
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 201316
14 201916
15
Fucosyltransferase 8 modulates receptor tyrosine kinase activation and temozolomide resistance in glioblastoma cells.
202112
16 201910
17 20056
18 20214
19 20074
20 20224

About Chia‐Hua Chen

Chia‐Hua Chen is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Cancer Research, having authored 28 papers that have together received 590 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Glioma Diagnosis and Treatment (6 papers), Proteoglycans and glycosaminoglycans research (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune cells in cancer (3 papers), Ubiquitin and proteasome pathways (3 papers), Signaling Pathways in Disease (2 papers) and Synthesis and Properties of Aromatic Compounds (2 papers). The work is most often cited by research in Immunology (172 citations), Cancer Research (94 citations), Genetics (57 citations), Ceramics and Composites (27 citations) and Neurology (36 citations). Chia‐Hua Chen has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Kuo‐Chen Wei, Chiung-Yin Huang, Jiin‐Jyh Shyu, Li-Ying Feng, Akihiro Shimizu, Yao‐Ting Wu, Tsun‐Cheng Wu, Pin‐Yuan Chen, Yoshito Tobe and Chiung‐Hui Liu. Their work appears in journals such as PLoS ONE, Journal of neurosurgery, MATERIALS TRANSACTIONS, Clinical Cancer Research and Molecular 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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