Ting‐Kuo Chang

58 total papers · 622 total citations
38 papers, 439 citations indexed

About

Ting‐Kuo Chang is a scholar working on Surgery, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Ting‐Kuo Chang has authored 38 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 8 papers in Pathology and Forensic Medicine and 6 papers in Molecular Biology. Recurrent topics in Ting‐Kuo Chang's work include Orthopaedic implants and arthroplasty (12 papers), Total Knee Arthroplasty Outcomes (9 papers) and Spine and Intervertebral Disc Pathology (8 papers). Ting‐Kuo Chang is often cited by papers focused on Orthopaedic implants and arthroplasty (12 papers), Total Knee Arthroplasty Outcomes (9 papers) and Spine and Intervertebral Disc Pathology (8 papers). Ting‐Kuo Chang collaborates with scholars based in Taiwan, Spain and United States. Ting‐Kuo Chang's co-authors include Chang‐Hung Huang, Yung‐Chang Lu, Cheng‐Kung Cheng, Yu‐Shu Lai, Chun‐Hsiung Huang, Wenchuan Chen, Te‐Yang Huang, Chih‐Hsin Tang, Chun‐Hao Tsai and Shan‐Chi Liu and has published in prestigious journals such as PLoS ONE, Journal of Biomechanics and Frontiers in Immunology.

In The Last Decade

Ting‐Kuo Chang

35 papers receiving 424 citations

Author Peers

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

Author Last Decade Papers Cites
Ting‐Kuo Chang 215 93 73 70 65 38 439
Piotr Rogala 140 0.7× 92 1.0× 93 1.3× 39 0.6× 97 1.5× 46 460
Chengyu Zhuang 155 0.7× 133 1.4× 46 0.6× 77 1.1× 43 0.7× 27 423
Alberto Jorge‐Mora 141 0.7× 74 0.8× 96 1.3× 36 0.5× 80 1.2× 31 407
Saran Tantavisut 160 0.7× 44 0.5× 67 0.9× 69 1.0× 119 1.8× 36 403
Ji Hao Cui 131 0.6× 133 1.4× 79 1.1× 78 1.1× 142 2.2× 22 452
Agnieszka Karol 129 0.6× 91 1.0× 47 0.6× 28 0.4× 43 0.7× 27 434
Anish G. Potty 267 1.2× 53 0.6× 86 1.2× 160 2.3× 94 1.4× 35 494
Naomasa Fukase 198 0.9× 52 0.6× 68 0.9× 34 0.5× 32 0.5× 41 417
Fangqi Li 158 0.7× 42 0.5× 115 1.6× 103 1.5× 51 0.8× 38 454
Daisuke Tateiwa 115 0.5× 120 1.3× 150 2.1× 63 0.9× 90 1.4× 22 450

Countries citing papers authored by Ting‐Kuo Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Kuo Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting‐Kuo Chang. 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 Ting‐Kuo Chang. The network helps show where Ting‐Kuo Chang may publish in the future.

Co-authorship network of co-authors of Ting‐Kuo Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting‐Kuo Chang. A scholar is included among the top collaborators of Ting‐Kuo Chang 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 Ting‐Kuo Chang. Ting‐Kuo Chang 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