Kai‐Chiang Yang

2.5k total citations
110 papers, 2.0k citations indexed

About

Kai‐Chiang Yang is a scholar working on Surgery, Biomedical Engineering and Rheumatology. According to data from OpenAlex, Kai‐Chiang Yang has authored 110 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Surgery, 26 papers in Biomedical Engineering and 25 papers in Rheumatology. Recurrent topics in Kai‐Chiang Yang's work include Osteoarthritis Treatment and Mechanisms (23 papers), Pancreatic function and diabetes (17 papers) and Bone Tissue Engineering Materials (14 papers). Kai‐Chiang Yang is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (23 papers), Pancreatic function and diabetes (17 papers) and Bone Tissue Engineering Materials (14 papers). Kai‐Chiang Yang collaborates with scholars based in Taiwan, Japan and United States. Kai‐Chiang Yang's co-authors include Feng‐Huei Lin, Chen‐Chie Wang, Ching‐Li Tseng, Wen‐Yu Su, Shuhua Yang, Keng-hui Lin, Ko-Chung Yen, Hwa‐Chang Liu, Shoichiro Sumi and Chang‐Chin Wu and has published in prestigious journals such as PLoS ONE, Biomaterials and Biochemical and Biophysical Research Communications.

In The Last Decade

Kai‐Chiang Yang

107 papers receiving 1.9k citations

Peers

Kai‐Chiang Yang
Comparison fields: 5 of 118
  • Biomedical Engineering 617
  • Biomaterials 519
  • Surgery 512
  • Molecular Biology 345
  • Rheumatology 301
Replace Amit Roy with:
Amit Roy India
Denghui Xie China
Bo Han United States
Tamer A. Ahmed Canada
Thor Friis Australia
Petek Korkusuz Türkiye
Jiankun Xu China
Yong‐Can Huang China
Shang‐You Yang United States
Jiaxiang Bai China
Amit Roy India View profile →
Citations per field, relative to Kai‐Chiang Yang
Kai‐Chiang Yang · 1×
Citations per year, relative to Kai‐Chiang Yang
Kai‐Chiang Yang · 1×

Countries citing papers authored by Kai‐Chiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Chiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Chiang Yang. 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 Kai‐Chiang Yang. The network helps show where Kai‐Chiang Yang may publish in the future.

Co-authorship network of co-authors of Kai‐Chiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Chiang Yang. A scholar is included among the top collaborators of Kai‐Chiang Yang 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 Kai‐Chiang Yang. Kai‐Chiang Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 11
3 31
4 6
5 8
6 8
7 8
8 32
9 26
10 3
11 4
12 20
13 21
14 16
15 36
16 20
17 18
18 2
19 103
20 207

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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