Dao-Yan Pan
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Metabolism, Diabetes, and Cancer 1
- Bone Metabolism and Diseases 1
-
- Folate and B Vitamins Research 1
- GDF15 and Related Biomarkers 1
- Co-authors
- Jie Shen (5 shared papers)Huai Li (1 shared paper)Jiayi Yang (1 shared paper)Zhiyi Chen (1 shared paper)Rou Zhou (1 shared paper)Yan-Fang Guo (1 shared paper)Hao He (1 shared paper)Hong‐Wen Deng (2 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (1 paper)Annals of Medicine (1 paper)Journal of Bone and Mineral Research (1 paper)Calcified Tissue International (1 paper)Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dao-Yan Pan
8 papers receiving 466 citations
Dao-Yan Pan's Hit Papers
Peers
Comparison fields: 5 of 64
- Rehabilitation 206
- Genetics 109
- Biomaterials 99
- Cancer Research 60
- Urology 24
Countries citing papers authored by Dao-Yan Pan
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
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.
All Works
| # | 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 → | 2020 | 396 |
| 2 | 2016 | 36 | |
| 3 | 2020 | 23 | |
| 4 | 2020 | 4 | |
| 5 | [Prevalence of chronic kidney disease and its risk factors in subjects with different glucose metabolism status]. | 2016 | 3 |
| 6 | 2025 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2023 | 1 |
About Dao-Yan Pan
Dao-Yan Pan is a scholar working on Molecular Biology, Rheumatology, Orthopedics and Sports Medicine, Surgery and Pathology and Forensic Medicine, having authored 8 papers that have together received 468 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (2 papers), Folate and B Vitamins Research (1 paper), Macrophage Migration Inhibitory Factor (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Diabetes and associated disorders (1 paper), Wound Healing and Treatments (1 paper), GDF15 and Related Biomarkers (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Rehabilitation (206 citations), Genetics (109 citations), Biomaterials (99 citations), Cancer Research (60 citations) and Urology (24 citations). Dao-Yan Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jie Shen, Huai Li, Jiayi Yang, Zhiyi Chen, Rou Zhou, Yan-Fang Guo, Hao He, Hong‐Wen Deng, Lin Xu and Jicheng Lv. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Medicine, Journal of Bone and Mineral Research, Calcified Tissue International 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.