Chang‐Yi Wu

2.0k citations
85 papers · 1.6k · h-index 24

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 13
    • Sphingolipid Metabolism and Signaling 6
    • Congenital heart defects research 6
    • Developmental Biology and Gene Regulation 5
    • Zebrafish Biomedical Research Applications 13

Chang‐Yi Wu

83 papers receiving 1.6k citations

Peers

Chang‐Yi Wu
Comparison fields: 5 of 125
  • Cancer Research 271
  • Developmental Neuroscience 64
  • Molecular Biology 717
  • Critical Care and Intensive Care Medicine 53
  • Cell Biology 167
Replace Hui Bai with:
Hui Bai China
Lihua He United States
Tian Cheng China
Ling‐Chu Chang Taiwan
Behzad Yeganeh Canada
Bokyung Kim South Korea
Krishnaswamy Kannan United States
Mark D'Arcy United Kingdom
Toshihiko Aki Japan
Barbara Zdzisińska Poland
Chang‐Yi Wu relative to Hui Bai China Hui Bai's profile →
Citations per field
00.5×2.6×
Hui Bai · 1×
Citations per year

Countries citing papers authored by Chang‐Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021107
2 201499
3 201197
4 199592
5 201660
6 202159
7 200551
8 201846
9 201444
10 201643
11 201442
12 200941
13 200540
14 201437
15 202034
16 201832
17 201732
18 201831
19 200930
20 201729

About Chang‐Yi Wu

Chang‐Yi Wu is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Epidemiology and Cancer Research, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Zebrafish Biomedical Research Applications (13 papers), Autophagy in Disease and Therapy (9 papers), Trace Elements in Health (7 papers), Sphingolipid Metabolism and Signaling (6 papers), Congenital heart defects research (6 papers), Respiratory Support and Mechanisms (6 papers) and Developmental Biology and Gene Regulation (5 papers). The work is most often cited by research in Cancer Research (271 citations), Developmental Neuroscience (64 citations), Molecular Biology (717 citations), Critical Care and Intensive Care Medicine (53 citations) and Cell Biology (167 citations). Chang‐Yi Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chien‐Chih Chiu, Huimin Wang, Wen‐Der Wang, Yao Fong, Wen‐Tsan Chang, David Eide, T.-I. Lin, Yun‐Hsiang Lee, Wangta Liu and Yen‐Ni Teng. Their work appears in journals such as International Journal of Molecular Sciences, The FASEB Journal, Oxidative Medicine and Cellular Longevity, Cancer Cell International and Environmental Toxicology.

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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