Guang-Chun Dai

37 total papers · 1.1k total citations
36 papers, 727 citations indexed

About

Guang-Chun Dai is a scholar working on Orthopedics and Sports Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Guang-Chun Dai has authored 36 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Orthopedics and Sports Medicine, 15 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Guang-Chun Dai's work include Tendon Structure and Treatment (21 papers), Laser Applications in Dentistry and Medicine (5 papers) and Shoulder Injury and Treatment (5 papers). Guang-Chun Dai is often cited by papers focused on Tendon Structure and Treatment (21 papers), Laser Applications in Dentistry and Medicine (5 papers) and Shoulder Injury and Treatment (5 papers). Guang-Chun Dai collaborates with scholars based in China, Hong Kong and Israel. Guang-Chun Dai's co-authors include Yunfeng Rui, Yingjuan Li, Panpan Lu, Yuan‐Wei Zhang, Minhao Chen, Mu‐Min Cao, Liu Shi, Hao Wang, Ming Zhang and Yucheng Lin and has published in prestigious journals such as ACS Nano, Geochimica et Cosmochimica Acta and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Guang-Chun Dai

33 papers receiving 721 citations

Author Peers

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

Author Last Decade Papers Cites
Guang-Chun Dai 338 250 205 104 76 36 727
Panpan Lu 261 0.8× 253 1.0× 173 0.8× 109 1.0× 68 0.9× 45 703
Liu Shi 245 0.7× 354 1.4× 207 1.0× 95 0.9× 100 1.3× 47 873
Guiyun Zhang 190 0.6× 183 0.7× 171 0.8× 56 0.5× 68 0.9× 36 833
Eduardo Abreu 373 1.1× 140 0.6× 477 2.3× 107 1.0× 41 0.5× 34 879
M. J. Pead 161 0.5× 151 0.6× 272 1.3× 62 0.6× 68 0.9× 33 815
Antonio Volpe 150 0.4× 192 0.8× 215 1.0× 49 0.5× 63 0.8× 38 891
Evan B. Lynch 315 0.9× 143 0.6× 480 2.3× 43 0.4× 45 0.6× 22 766
Min‐Xia Wang 369 1.1× 212 0.8× 401 2.0× 45 0.4× 35 0.5× 20 896
Monica Gioia Marazzi 91 0.3× 127 0.5× 183 0.9× 85 0.8× 46 0.6× 28 623
Ting Zhu 343 1.0× 156 0.6× 407 2.0× 33 0.3× 60 0.8× 24 849

Countries citing papers authored by Guang-Chun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Guang-Chun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Chun Dai. 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 Guang-Chun Dai. The network helps show where Guang-Chun Dai may publish in the future.

Co-authorship network of co-authors of Guang-Chun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Guang-Chun Dai. A scholar is included among the top collaborators of Guang-Chun Dai 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 Guang-Chun Dai. Guang-Chun Dai 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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2026