Shun‐Cheng Chang

78 total papers · 795 total citations
45 papers, 545 citations indexed

About

Shun‐Cheng Chang is a scholar working on Surgery, Rehabilitation and Epidemiology. According to data from OpenAlex, Shun‐Cheng Chang has authored 45 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 11 papers in Rehabilitation and 8 papers in Epidemiology. Recurrent topics in Shun‐Cheng Chang's work include Reconstructive Surgery and Microvascular Techniques (19 papers), Wound Healing and Treatments (11 papers) and Surgical site infection prevention (6 papers). Shun‐Cheng Chang is often cited by papers focused on Reconstructive Surgery and Microvascular Techniques (19 papers), Wound Healing and Treatments (11 papers) and Surgical site infection prevention (6 papers). Shun‐Cheng Chang collaborates with scholars based in Taiwan, United States and Australia. Shun‐Cheng Chang's co-authors include Shyi-Gen Chen, Yuan‐Sheng Tzeng, Niann‐Tzyy Dai, Tim‐Mo Chen, Chin‐Ta Lin, Kazuo Ina, David B. Min, R. J. Peterson, Shyi‐Gen Chen and Ju‐Peng Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Controlled Release and Life Sciences.

In The Last Decade

Shun‐Cheng Chang

37 papers receiving 526 citations

Author Peers

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

Author Last Decade Papers Cites
Shun‐Cheng Chang 263 149 75 64 55 45 545
Effat Omar 75 0.3× 117 0.8× 24 0.3× 46 0.7× 8 0.1× 46 521
Dewu Liu 59 0.2× 234 1.6× 85 1.1× 40 0.6× 11 0.2× 62 613
Hossein Kazemi Mehrjerdi 149 0.6× 45 0.3× 78 1.0× 29 0.5× 18 0.3× 62 546
Henrik Steenfos 210 0.8× 299 2.0× 46 0.6× 37 0.6× 7 0.1× 21 555
Gyeol Yoo 168 0.6× 137 0.9× 90 1.2× 41 0.6× 4 0.1× 33 586
Hiroko Tanabe 344 1.3× 160 1.1× 29 0.4× 66 1.0× 8 0.1× 38 579
Chaofan Zhang 117 0.4× 147 1.0× 17 0.2× 33 0.5× 25 0.5× 28 503
J. Wilske 75 0.3× 229 1.5× 69 0.9× 80 1.3× 3 0.1× 35 608
Wojciech Łabuś 281 1.1× 155 1.0× 46 0.6× 70 1.1× 3 0.1× 54 593
Ruy Garcia Marques 264 1.0× 81 0.5× 19 0.3× 73 1.1× 6 0.1× 37 519

Countries citing papers authored by Shun‐Cheng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Cheng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun‐Cheng Chang

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