Chang‐Yi Wu

2.1k citations
87 papers · 1.7k · h-index 25

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 11
    • Congenital heart defects research 5
    • Sphingolipid Metabolism and Signaling 5
    • Developmental Biology and Gene Regulation 5
    • Zebrafish Biomedical Research Applications 12

Chang‐Yi Wu

83 papers receiving 1.6k citations

Peers

Chang‐Yi Wu
Comparison fields: 5 of 125
  • Cancer Research 236
  • Developmental Neuroscience 60
  • Geriatrics and Gerontology 33
  • Cell Biology 158
  • Molecular Biology 661
Replace Jin Hee Kim with:
Jin Hee Kim South Korea
Hui Bai China
Lihua He United States
Tian Cheng China
Ling‐Chu Chang Taiwan
Mark D'Arcy United Kingdom
Bokyung Kim South Korea
Jung‐Hyun Kim South Korea
Toshihiko Aki Japan
Barbara Zdzisińska Poland
Chang‐Yi Wu relative to Jin Hee Kim South Korea Jin Hee Kim's profile →
Citations per field
00.5×2.5×
Jin Hee Kim · 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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021110
2 201498
3 201197
4 199592
5 202161
6 201660
7 200551
8 201846
9 201445
10 201644
11 200943
12 201442
13 200540
14 201438
15 201735
16 202035
17 202434
18 201833
19 201831
20 200930

About Chang‐Yi Wu

Chang‐Yi Wu is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Nutrition and Dietetics and Cancer Research, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (12 papers), Angiogenesis and VEGF in Cancer (11 papers), Autophagy in Disease and Therapy (9 papers), Trace Elements in Health (7 papers), Congenital heart defects research (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Developmental Biology and Gene Regulation (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (236 citations), Developmental Neuroscience (60 citations), Geriatrics and Gerontology (33 citations), Cell Biology (158 citations) and Molecular Biology (661 citations). Chang‐Yi Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chien‐Chih Chiu, Wen‐Der Wang, Huimin Wang, Yao Fong, Wen‐Tsan Chang, David Eide, Yun‐Hsiang Lee, T.-I. Lin, Yen‐Ni Teng and Wangta Liu. 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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