Chun‐Yi Yang

527 total citations · 1 hit paper
13 papers, 392 citations indexed

About

Chun‐Yi Yang is a scholar working on Cellular and Molecular Neuroscience, Surgery and Biomaterials. According to data from OpenAlex, Chun‐Yi Yang has authored 13 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 4 papers in Surgery and 4 papers in Biomaterials. Recurrent topics in Chun‐Yi Yang's work include Nerve injury and regeneration (8 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Chun‐Yi Yang is often cited by papers focused on Nerve injury and regeneration (8 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Chun‐Yi Yang collaborates with scholars based in China, United States and Taiwan. Chun‐Yi Yang's co-authors include Xiumei Wang, Jiajü Lü, Tzu‐Wei Wang, Weiyuan Huang, Nai‐Wen Liang, Shuhui Yang, John C. Rogers, Tzu‐Ching Meng, Yiyun Chen and Jia Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Antioxidants and Redox Signaling.

In The Last Decade

Chun‐Yi Yang

12 papers receiving 388 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Anisotropic structure of nanofiber hydrogel accelerates diabetic wound healing via triadic synergy of immune-angiogenic-neurogenic microenvironments

2025 19 citations Jiakuan Yang, Chengli Li et al. Bioactive Materials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chun‐Yi Yang China	9	148	145	122	100	77	13	392
Gemma Palazzolo Italy	13	242 1.6×	153 1.1×	102 0.8×	184 1.8×	79 1.0×	20	621
Baiwen Luo Singapore	14	267 1.8×	202 1.4×	108 0.9×	103 1.0×	109 1.4×	16	660
Yi‐Chin Yang Taiwan	19	196 1.3×	175 1.2×	176 1.4×	263 2.6×	128 1.7×	47	829
Narges Mahmoodi Iran	13	207 1.4×	233 1.6×	131 1.1×	54 0.5×	97 1.3×	19	458
Mohammad Hossein Geranmayeh Iran	11	178 1.2×	173 1.2×	51 0.4×	212 2.1×	64 0.8×	24	619
Nikhil O. Dhoot United States	4	115 0.8×	114 0.8×	150 1.2×	78 0.8×	95 1.2×	6	390
Peishan Liu-Snyder United States	8	188 1.3×	76 0.5×	109 0.9×	151 1.5×	85 1.1×	9	615
Fengshi Zhang China	11	120 0.8×	148 1.0×	158 1.3×	73 0.7×	72 0.9×	25	383
Sajad Hassanzadeh Iran	14	140 0.9×	179 1.2×	86 0.7×	64 0.6×	73 0.9×	26	427
Antonella Piscioneri Italy	18	327 2.2×	201 1.4×	96 0.8×	144 1.4×	186 2.4×	45	679

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-authorship network of co-authors of Chun‐Yi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Yi Yang. A scholar is included among the top collaborators of Chun‐Yi Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun‐Yi Yang. Chun‐Yi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Zhao, Lihua, et al.. (2025). Linking outdoor heatwave and indoor overheating: A multi- timescale coupling framework for residential buildings in hot and humid climates. Building and Environment. 289. 114086–114086.

Yang, Jiakuan, Chengli Li, Chun‐Yi Yang, et al.. (2025). Anisotropic structure of nanofiber hydrogel accelerates diabetic wound healing via triadic synergy of immune-angiogenic-neurogenic microenvironments. Bioactive Materials. 47. 64–82. 19 indexed citations breakdown →

Yang, Chun‐Yi, Chengli Li, Fang Yang, et al.. (2024). Blow-Spun Si3N4-Incorporated Nanofibrous Dressing with Antibacterial, Anti-Inflammatory, and Angiogenic Activities for Chronic Wound Treatment. Advanced Fiber Materials. 6(2). 543–560. 30 indexed citations

Yang, Chun‐Yi, Chengli Li, Shuhui Yang, et al.. (2024). Multi-needle blow-spinning technique for fabricating collagen nanofibrous nerve guidance conduit with scalable productivity and high performance. Materials Today Bio. 24. 100942–100942. 9 indexed citations

Yang, Chun‐Yi, Zhe Meng, Zhijun He, et al.. (2024). Engineering neuroregenerative microenvironment via aligned hydrogel-assisted magnetic stimulation for complete spinal cord injury repair. SHILAP Revista de lepidopterología. 5(2). 139–152. 6 indexed citations

Yang, Jia, Weitao Man, Zhe Meng, et al.. (2023). N-Cadherin-Functionalized Nanofiber Hydrogel Facilitates Spinal Cord Injury Repair by Building a Favorable Niche for Neural Stem Cells. Advanced Fiber Materials. 5(4). 1349–1366. 27 indexed citations

Yang, Jia, Weitao Man, Jingchuan Zheng, et al.. (2023). 3D bio-printed living nerve-like fibers refine the ecological niche for long-distance spinal cord injury regeneration. Bioactive Materials. 25. 160–175. 52 indexed citations

Yang, Chun‐Yi, Zhe Meng, Zhijun He, et al.. (2023). External magnetic field non-invasively stimulates spinal cord regeneration in rat via a magnetic-responsive aligned fibrin hydrogel. Biofabrication. 15(3). 35022–35022. 17 indexed citations

Chai, Yi, He Zhao, Shuhui Yang, et al.. (2021). Structural alignment guides oriented migration and differentiation of endogenous neural stem cells for neurogenesis in brain injury treatment. Biomaterials. 280. 121310–121310. 37 indexed citations

10.

Yang, Chun‐Yi, Weiyuan Huang, Nai‐Wen Liang, et al.. (2020). Neural tissue engineering: the influence of scaffold surface topography and extracellular matrix microenvironment. Journal of Materials Chemistry B. 9(3). 567–584. 113 indexed citations

11.

Huang, Weiyuan, et al.. (2020). Biodegradable aniline-derived electroconductive film for the regulation of neural stem cell fate. Journal of Materials Chemistry B. 9(5). 1325–1335. 6 indexed citations

12.

Pan, Kuan‐Ting, Yiyun Chen, Chun‐Yi Yang, et al.. (2013). Mass Spectrometry-Based Quantitative Proteomics for Dissecting Multiplexed Redox Cysteine Modifications in Nitric Oxide-Protected Cardiomyocyte Under Hypoxia. Antioxidants and Redox Signaling. 20(9). 1365–1381. 73 indexed citations

13.

Yang, Chun‐Yi, et al.. (2012). Joint XPI and ISI Cancellation for Dually-Polarized Radio Systems over Earth-Space Links. Procedia Engineering. 29. 3217–3221. 3 indexed citations

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.

Explore authors with similar magnitude of impact