Xiaofan Yang

2.7k citations
63 papers · 2.1k indexed · 4 hit papers · h-index 23

Impact in

Papers in

Xiaofan Yang

62 papers receiving 2.0k citations

Hit Papers

Milk exosomes-mediated miR-31-5p delivery accelerates diabetic wound healing through promoting angiogenesis 2022 · 180 citations
180202220262023202450100150200

Peers

Xiaofan Yang
Comparison fields: 5 of 108
  • Rehabilitation 837
  • Biomaterials 549
  • Molecular Medicine 151
  • Occupational Therapy 87
  • Pharmaceutical Science 121
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Zhenbing Chen China
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Yiqiang Hu China
Chenchen Yan China
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Yunyun Xu China
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Xiaofan Yang relative to Ze Lin China Ze Lin's profile →
Citations per field
00.5×1.5×
Ze Lin · 1×
Citations per year

Countries citing papers authored by Xiaofan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202314
3 20236
4 20236
5 202330
6 202352
7 202325
8 202345
9 202234
10 202257
11 202224
12
GelMA/PEGDA microneedles patch loaded with HUVECs-derived exosomes and Tazarotene promote diabetic wound healing
Hit paper breakdown →
2022212
13 20227
14 202212
15 202214
16 202129
17 202110
18 202131
19 202144
20 201830

About Xiaofan Yang

Xiaofan Yang is a scholar working on Rehabilitation, Biomaterials, Occupational Therapy, Molecular Medicine and Cancer Research, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Wound Healing and Treatments (27 papers), Electrospun Nanofibers in Biomedical Applications (15 papers), Extracellular vesicles in disease (14 papers), Diabetic Foot Ulcer Assessment and Management (9 papers), MicroRNA in disease regulation (8 papers), Autophagy in Disease and Therapy (7 papers), Cancer-related molecular mechanisms research (5 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Rehabilitation (837 citations), Biomaterials (549 citations), Molecular Medicine (151 citations), Occupational Therapy (87 citations) and Pharmaceutical Science (121 citations). Xiaofan Yang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhenbing Chen, Jing Chen, Tao Jiang, Meng Yuan, Hans‐Günther Machens, Yu Kang, Jiahe Guo, Zihan Wu, Xiang Xu and Honglian Dai. Their work appears in journals such as International Journal of Biological Macromolecules, Materials Today Bio, Carbohydrate Polymers, Journal of Controlled Release and Journal of Molecular Medicine.

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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