Chieh‐Lin Wu

856 citations
17 papers · 703 · h-index 14

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Kruppel-like factors research 2
    • Machine Learning in Bioinformatics 1
    • Proteoglycans and glycosaminoglycans research 2
    • melanin and skin pigmentation 2

Chieh‐Lin Wu

17 papers receiving 696 citations

Peers

Chieh‐Lin Wu
Comparison fields: 5 of 100
  • Molecular Biology 358
  • Ophthalmology 47
  • Cancer Research 77
  • Cell Biology 83
  • Spectroscopy 75
Replace Xing Zhong with:
Xing Zhong China
Ya‐Ju Hsieh Taiwan
Simona Russo Italy
Anna Radzikowska Poland
Letícia Ferreira Terra Brazil
Matteo Villain United States
Valérie Thibert France
Nancy R. Leffler United States
Beatriz Rocha Spain
Chiara Lavarello Italy
Chieh‐Lin Wu relative to Xing Zhong China Xing Zhong's profile →
Citations per field
00.5×7.5×
Xing Zhong · 1×
Citations per year

Countries citing papers authored by Chieh‐Lin Wu

Since Specialization
Citations

This map shows the geographic impact of Chieh‐Lin Wu'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 Chieh‐Lin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chieh‐Lin Wu more than expected).

Fields of papers citing papers by Chieh‐Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chieh‐Lin Wu. 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 Chieh‐Lin Wu. The network helps show where Chieh‐Lin Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chieh‐Lin Wu, 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 Chieh‐Lin Wu Line = papers co-authored together Chieh‐Lin Wu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2010226
2 201079
3 201258
4 201246
5 201144
6 201137
7 201331
8 201230
9 201328
10 201126
11 201319
12 202117
13 201917
14 201215
15 202313
16 20129
17 20228

About Chieh‐Lin Wu

Chieh‐Lin Wu is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 703 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Kruppel-like factors research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Ocular Surface and Contact Lens (2 papers), Advanced Proteomics Techniques and Applications (2 papers), melanin and skin pigmentation (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (358 citations), Ophthalmology (47 citations), Cancer Research (77 citations), Cell Biology (83 citations) and Spectroscopy (75 citations). Chieh‐Lin Wu has collaborated with scholars based in Taiwan, Ghana and Australia. Frequent co-authors include Hsiu‐Chuan Chou, Hong‐Lin Chan, Szu‐Ting Lin, Chih‐Ho Lai, Hao‐Teng Chang, Cheng‐Wen Lin, Yi–Wen Chen, Hsiang-Ling Huang, Ping-Chiang Lyu and Yiwen Chen. Their work appears in journals such as PLoS ONE, Electrophoresis, Pigment Cell & Melanoma Research, Analytical Chemistry and Journal of Proteome Research.

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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