Dao-Yan Pan

753 citations
8 papers · 502 · 1 hit paper · h-index 4

Impact in

Papers in

Dao-Yan Pan

8 papers receiving 498 citations

Dao-Yan Pan's Hit Papers

<p>Umbilical Cord-Derived Mesenchymal Stem Cell-Derived Exosomes Combined Pluronic F127 Hydrogel Promote Chronic Diabetic Wound Healing and Complete Skin Regeneration</p> 2020 · 374 citations
3740+2+4Years since publication100200300

Peers

Dao-Yan Pan
Comparison fields: 5 of 62
  • Rehabilitation 278
  • Genetics 157
  • Biomaterials 148
  • Occupational Therapy 25
  • Urology 33
Replace Jianlong Su with:
Jianlong Su China
Kyoung-Mi Lee South Korea
Julin Xie China
Silvia Becerra‐Bayona Colombia
Dahai Hu China
Moses Lee South Korea
Alireza Hassanshahi Iran
Masaki Nambu Japan
Luosha Gu China
Wei‐Qiang Tan China
Dao-Yan Pan relative to Jianlong Su China Jianlong Su's profile →
Citations per field
00.5×5.4×
Jianlong Su · 1×
Citations per year

Countries citing papers authored by Dao-Yan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Dao-Yan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dao-Yan Pan. 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 Dao-Yan Pan. The network helps show where Dao-Yan Pan may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
<p>Umbilical Cord-Derived Mesenchymal Stem Cell-Derived Exosomes Combined Pluronic F127 Hydrogel Promote Chronic Diabetic Wound Healing and Complete Skin Regeneration</p>
Hit paper breakdown →
2020374
2 201796
3 202022
4 20204
5
[Prevalence of chronic kidney disease and its risk factors in subjects with different glucose metabolism status].
20163
6 20221
7 20231
8 20251

About Dao-Yan Pan

Dao-Yan Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Rehabilitation, Epidemiology and Rheumatology, having authored 8 papers that have together received 502 indexed citations. Recurring topics across this work include Wound Healing and Treatments (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Pancreatic function and diabetes (1 paper), Liver Disease and Transplantation (1 paper), Bone health and osteoporosis research (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Mesenchymal stem cell research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Rehabilitation (278 citations), Genetics (157 citations), Biomaterials (148 citations), Occupational Therapy (25 citations) and Urology (33 citations). Dao-Yan Pan has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Jie Shen, Zhiyi Chen, Jiayi Yang, Huai Li, Siyu Wang, Cory J. Xian, Gustavo Duque, Jicheng Lv, Jie Shen and Li Yang. Their work appears in journals such as Journal of Surgical Research, Calcified Tissue International, International Journal of Nanomedicine, Annals of Medicine 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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