Chin‐Yu Yang

820 citations
16 papers · 649 · h-index 11

Impact in

  • Oncology top 10%
    • Lymphatic System and Diseases
    • Drug Transport and Resistance Mechanisms
    • Hydrogels: synthesis, properties, applications

Papers in

    • Lymphatic System and Diseases 6
    • Diagnosis and Treatment of Venous Diseases 4
    • Tissue Engineering and Regenerative Medicine 2
    • Body Contouring and Surgery 2

Chin‐Yu Yang

16 papers receiving 640 citations

Peers

Chin‐Yu Yang
Comparison fields: 5 of 88
  • Oncology 239
  • Molecular Medicine 42
  • Biomaterials 79
  • Cancer Research 73
  • Nutrition and Dietetics 73
Replace Wei‐Dong Lü with:
Wei‐Dong Lü China
Shiou Zhu China
Xuanyou Liu United States
Hyunjin Park South Korea
Youhong Jiang China
Yanfang Wang China
Canfeza Sezgin Türkiye
Yifang Zou China
Xiao-hua Man China
Sameera Nallanthighal United States
Chin‐Yu Yang relative to Wei‐Dong Lü China Wei‐Dong Lü's profile →
Citations per field
00.5×9.1×
Wei‐Dong Lü · 1×
Citations per year

Countries citing papers authored by Chin‐Yu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Yu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Yu Yang. 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 Chin‐Yu Yang. The network helps show where Chin‐Yu Yang may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008275
2 201677
3 201753
4 201542
5 201340
6 201239
7 199936
8 201720
9 201317
10 201814
11 201811
12 20199
13 20227
14 20225
15 20133
16
STA-4783 induces apoptosis and enhances the anticancer activity of paclitaxel through induction of oxidative stress
20071

About Chin‐Yu Yang

Chin‐Yu Yang is a scholar working on Oncology, Surgery, Molecular Biology, Physiology and Biomedical Engineering, having authored 16 papers that have together received 649 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (6 papers), Diagnosis and Treatment of Venous Diseases (4 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Body Contouring and Surgery (2 papers), 3D Printing in Biomedical Research (2 papers), Pressure Ulcer Prevention and Management (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Oncology (239 citations), Molecular Medicine (42 citations), Biomaterials (79 citations), Cancer Research (73 citations) and Nutrition and Dietetics (73 citations). Chin‐Yu Yang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Mei Zhang, Jessica R. Kirshner, James Barsoum, Jane Kepros, Zhenjian Du, John Bertin, Suqin He, Ming‐Huei Cheng, Ming‐Huei Cheng and Chia‐Yu Lin. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Surgical Oncology, Plastic & Reconstructive Surgery, Biomaterials and Acta Biomaterialia.

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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