William Fang

46 total papers · 564 total citations
35 papers, 354 citations indexed

About

William Fang is a scholar working on Surgery, Orthopedics and Sports Medicine and Molecular Biology. According to data from OpenAlex, William Fang has authored 35 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 12 papers in Orthopedics and Sports Medicine and 11 papers in Molecular Biology. Recurrent topics in William Fang's work include Tendon Structure and Treatment (8 papers), Shoulder Injury and Treatment (4 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). William Fang is often cited by papers focused on Tendon Structure and Treatment (8 papers), Shoulder Injury and Treatment (4 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). William Fang collaborates with scholars based in United States, Vietnam and United Kingdom. William Fang's co-authors include C. Thomas Vangsness, Bo Han, Xiao T. Chen, Ba X. Hoang, Devendra K. Agrawal, Finosh G. Thankam, Ian A. Jones, Zhigang Yang, Cuong Hoang and Shao‐Yao Ying and has published in prestigious journals such as The American Journal of Sports Medicine, The Journal of Organic Chemistry and Neurobiology of Aging.

In The Last Decade

William Fang

31 papers receiving 346 citations

Author Peers

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

Author Last Decade Papers Cites
William Fang 126 97 81 51 39 35 354
Jin Sung Park 168 1.3× 80 0.8× 63 0.8× 46 0.9× 31 0.8× 38 377
Tianrui Wang 122 1.0× 88 0.9× 58 0.7× 56 1.1× 52 1.3× 50 366
Ke Jiang 98 0.8× 73 0.8× 53 0.7× 26 0.5× 67 1.7× 23 322
Xiliang Shang 134 1.1× 87 0.9× 78 1.0× 27 0.5× 63 1.6× 28 326
Po‐Chih Shen 123 1.0× 81 0.8× 49 0.6× 87 1.7× 32 0.8× 29 372
Zhengang Zha 91 0.7× 62 0.6× 27 0.3× 107 2.1× 41 1.1× 27 368
Ting Zheng 108 0.9× 113 1.2× 76 0.9× 12 0.2× 29 0.7× 20 303
Yachao Zhao 125 1.0× 78 0.8× 64 0.8× 38 0.7× 37 0.9× 22 361
Junxing Ye 81 0.6× 183 1.9× 47 0.6× 27 0.5× 35 0.9× 25 388
Jian Cheng 66 0.5× 83 0.9× 39 0.5× 31 0.6× 33 0.8× 31 324

Countries citing papers authored by William Fang

Since Specialization
Citations

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

Fields of papers citing papers by William Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Fang

This figure shows the co-authorship network connecting the top 25 collaborators of William Fang. A scholar is included among the top collaborators of William Fang 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 William Fang. William Fang 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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