Chin‐Yu Chen

86 papers receiving 2.7k citations

Peers

Chin‐Yu Chen
Comparison fields: 5 of 182
  • General Health Professions 1.2k
  • Structural Biology 46
  • Radiological and Ultrasound Technology 145
  • Medical Laboratory Technology 26
  • Pharmacology 231
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Anna Barker Australia
W.T. Lynch United States
Raymond Agius United Kingdom
Tessa Keegel Australia
Elena Ronda Spain
Andrew McVicar United Kingdom
Linda Hawes Clever United States
Marion Haas Australia
Huafen Wang China
Jin‐Ha Yoon South Korea
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Citations per field
00.5×9.2×
Anna Barker · 1×
Citations per year

Countries citing papers authored by Chin‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Yu Chen. 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 Chin‐Yu Chen. The network helps show where Chin‐Yu Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Chin‐Yu Chen, 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 Chin‐Yu Chen Line = papers co-authored together Chin‐Yu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999344
2 2004314
3 2009243
4 2005196
5 2006154
6 1998137
7 2005104
8 200296
9 200191
10 202169
11 200462
12 201055
13 200655
14
The association of antidepressant medication adherence with employee disability absences.
200754
15 201750
16 200845
17 201842
18 201442
19 201139
20 200838

About Chin‐Yu Chen

Chin‐Yu Chen is a scholar working on Molecular Biology, General Health Professions, Materials Chemistry, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include Workplace Health and Well-being (17 papers), Enzyme Structure and Function (5 papers), Occupational Health and Safety Research (5 papers), Bacterial Genetics and Biotechnology (4 papers), Employment and Welfare Studies (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Electron and X-Ray Spectroscopy Techniques (3 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in General Health Professions (1.2k citations), Structural Biology (46 citations), Radiological and Ultrasound Technology (145 citations), Medical Laboratory Technology (26 citations) and Pharmacology (231 citations). Chin‐Yu Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Dee W. Edington, Wayne N. Burton, Alyssa B. Schultz, Daniel J. Conti, Glenn Pransky, Wen‐Sheng Tzeng, Chee‐Wai Mak, Fa‐Kuen Shieh, Jane Wang and Chun‐Hsiang Huang. Their work appears in journals such as Journal of Occupational and Environmental Medicine, Population Health Management, Journal of the American Chemical Society, BioMedical Engineering OnLine and Journal of Visualized Experiments.

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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