Yen Chang

5.4k citations
93 papers · 4.4k · h-index 39

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 31
    • Cardiac Structural Anomalies and Repair 6
    • Coronary Interventions and Diagnostics 5
    • Electrospun Nanofibers in Biomedical Applications 35

Yen Chang

93 papers receiving 4.3k citations

Peers

Yen Chang
Comparison fields: 5 of 141
  • Biomaterials 1.9k
  • Molecular Medicine 240
  • Rehabilitation 291
  • Genetics 417
  • Surgery 1.7k
Replace Kwideok Park with:
Kwideok Park South Korea
Shahin Bonakdar Iran
Monica Mattioli‐Belmonte Italy
Hassan Niknejad Iran
Yong Woo Cho South Korea
Alí Samadikuchaksaraei Iran
Jiashing Yu Taiwan
Arghya Paul Canada
Jafar Ai Iran
Soo‐Hong Lee South Korea
Yen Chang relative to Kwideok Park South Korea Kwideok Park's profile →
Citations per field
00.5×4.5×
Kwideok Park · 1×
Citations per year

Countries citing papers authored by Yen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yen Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yen Chang Line = papers co-authored together Yen Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012218
2 2003194
3 1999160
4 2016152
5 2002149
6 2014148
7 2020131
8 2003130
9 2007115
10 2005112
11 2008104
12 2020101
13 2000101
14 201988
15 199984
16 202182
17 200981
18 200581
19 200781
20 201178

About Yen Chang

Yen Chang is a scholar working on Surgery, Biomaterials, Biomedical Engineering, Molecular Biology and Genetics, having authored 93 papers that have together received 4.4k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (35 papers), Tissue Engineering and Regenerative Medicine (31 papers), Mesenchymal stem cell research (14 papers), Nanoplatforms for cancer theranostics (9 papers), Cardiac Structural Anomalies and Repair (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), 3D Printing in Biomedical Research (5 papers) and Coronary Interventions and Diagnostics (5 papers). The work is most often cited by research in Biomaterials (1.9k citations), Molecular Medicine (240 citations), Rehabilitation (291 citations), Genetics (417 citations) and Surgery (1.7k citations). Yen Chang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Hsing‐Wen Sung, Huang‐Chien Liang, Hao‐Ji Wei, Chieh‐Cheng Huang, Po-Hong Lai, Shiaw‐Min Hwang, Fwu‐Long Mi, Wei-Wen Lin, Yu‐Jung Lin and Chiun‐Nan Chen. Their work appears in journals such as Biomaterials, Advanced Functional Materials, Journal of Thoracic and Cardiovascular Surgery, Tissue Engineering and Journal of Controlled Release.

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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