Dao-Yan Pan

19 total papers · 737 total citations
8 papers, 496 citations indexed

About

Dao-Yan Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Rehabilitation. According to data from OpenAlex, Dao-Yan Pan has authored 8 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Molecular Biology and 2 papers in Rehabilitation. Recurrent topics in Dao-Yan Pan's work include Wound Healing and Treatments (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Birth, Development, and Health (1 paper). Dao-Yan Pan is often cited by papers focused on Wound Healing and Treatments (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Birth, Development, and Health (1 paper). Dao-Yan Pan collaborates with scholars based in China, Australia and United States. Dao-Yan Pan's co-authors include Jie Shen, Huai Li, Jiayi Yang, Zhiyi Chen, Cory J. Xian, Siyu Wang, Jie Shen, Canjun Zeng, Quan Zhou and Qing Chen and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Nanomedicine and Calcified Tissue International.

In The Last Decade

Dao-Yan Pan

8 papers receiving 492 citations

Hit Papers

<p>Umbilical Cord-D... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dao-Yan Pan 277 220 157 147 65 8 496
Bingmin Li 197 0.7× 214 1.0× 87 0.6× 87 0.6× 43 0.7× 14 503
Mohammadhossein Hassanshahi 207 0.7× 163 0.7× 124 0.8× 95 0.6× 49 0.8× 15 544
Jianlong Su 229 0.8× 247 1.1× 72 0.5× 124 0.8× 53 0.8× 13 495
Ranyang Tao 174 0.6× 264 1.2× 89 0.6× 107 0.7× 49 0.8× 9 558
Longqing Wang 162 0.6× 313 1.4× 119 0.8× 61 0.4× 48 0.7× 10 528
Yong Bo Liu 231 0.8× 154 0.7× 265 1.7× 86 0.6× 56 0.9× 12 512
Austin Nuschke 227 0.8× 167 0.8× 266 1.7× 109 0.7× 28 0.4× 8 568
Zhenxing Si 248 0.9× 81 0.4× 236 1.5× 132 0.9× 67 1.0× 7 472
Revanth Kosaraju 216 0.8× 145 0.7× 273 1.7× 129 0.9× 66 1.0× 11 556
Rubén A. Ferrer 200 0.7× 127 0.6× 86 0.5× 132 0.9× 37 0.6× 10 536

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-authorship network of co-authors of Dao-Yan Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Dao-Yan Pan. A scholar is included among the top collaborators of Dao-Yan Pan 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 Dao-Yan Pan. Dao-Yan Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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