Chun‐Yi Yang

12 papers receiving 388 citations

Chun‐Yi Yang's Hit Papers

Anisotropic structure of nanofiber hydrogel accelerates diabetic wound healing via triadic synergy of immune-angiogenic-neurogenic microenvironments 2025 · 19 citations
190Years since publication51015

Peers

Chun‐Yi Yang
Comparison fields: 5 of 71
  • Biomaterials 145
  • Cellular and Molecular Neuroscience 122
  • Rehabilitation 37
  • Developmental Neuroscience 21
  • Molecular Medicine 20
Replace Connor W. McCarthy with:
Connor W. McCarthy United States
Bruno A. Cisterna Chile
Olga Kryukov Israel
Baiwen Luo Singapore
Narges Mahmoodi Iran
Yi‐Chin Yang Taiwan
Laura Elena Sperling Brazil
Jafar Ai Iran
Hatef Ghasemi Hamidabadi Iran
Chun‐Yi Yang relative to Connor W. McCarthy United States Connor W. McCarthy's profile →
Citations per field
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Connor W. McCarthy · 1×
Citations per year

Countries citing papers authored by Chun‐Yi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Yi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020113
2 201373
3 202352
4 202137
5 202430
6 202327
7
Anisotropic structure of nanofiber hydrogel accelerates diabetic wound healing via triadic synergy of immune-angiogenic-neurogenic microenvironments
Hit paper breakdown →
202519
8 202317
9 20249
10 20246
11 20206
12 20123
13 20250

About Chun‐Yi Yang

Chun‐Yi Yang is a scholar working on Cellular and Molecular Neuroscience, Surgery, Biomaterials, Pathology and Forensic Medicine and Biomedical Engineering, having authored 13 papers that have together received 392 indexed citations. Recurring topics across this work include Nerve injury and regeneration (8 papers), Tissue Engineering and Regenerative Medicine (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Spinal Cord Injury Research (3 papers), Wound Healing and Treatments (2 papers), 3D Printing in Biomedical Research (2 papers), Bone Tissue Engineering Materials (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Biomaterials (145 citations), Cellular and Molecular Neuroscience (122 citations), Rehabilitation (37 citations), Developmental Neuroscience (21 citations) and Molecular Medicine (20 citations). Chun‐Yi Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiumei Wang, Jiajü Lü, Tzu‐Wei Wang, Weiyuan Huang, Nai‐Wen Liang, Shuhui Yang, Kuan‐Ting Pan, Tzu‐Ching Meng, Ryan Bomgarden and Jia Yang. Their work appears in journals such as Journal of Materials Chemistry B, Advanced Fiber Materials, Bioactive Materials, Building and Environment and Biomaterials.

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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