Chin‐Yu Chen

82 papers receiving 2.6k citations

Peers

Chin‐Yu Chen
Comparison fields: 5 of 183
  • General Health Professions 1.5k
  • Radiological and Ultrasound Technology 275
  • Structural Biology 43
  • Medical Laboratory Technology 38
  • Pharmacology 392
Replace W.T. Lynch with:
W.T. Lynch United States
Tessa Keegel Australia
Raymond Agius United Kingdom
Toru Yoshikawa Japan
Jin‐Ha Yoon South Korea
Matti Klockars Finland
Sin Eng Chia Singapore
Stephan Letzel Germany
Linda Hawes Clever United States
Andrew McVicar United Kingdom
Chin‐Yu Chen relative to W.T. Lynch United States W.T. Lynch's profile →
Citations per field
00.5×10×15×21.5×
W.T. Lynch · 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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999325
2 2004294
3 2009235
4 2005186
5 2006145
6 1998134
7 2005103
8 200294
9 200187
10 202165
11 200460
12 200654
13
The association of antidepressant medication adherence with employee disability absences.
200754
14 201050
15 201744
16 200844
17 201441
18 201839
19 200838
20 201137

About Chin‐Yu Chen

Chin‐Yu Chen is a scholar working on General Health Professions, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include Workplace Health and Well-being (22 papers), Employment and Welfare Studies (7 papers), Musculoskeletal pain and rehabilitation (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Sleep and Work-Related Fatigue (5 papers), Occupational Health and Safety Research (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in General Health Professions (1.5k citations), Radiological and Ultrasound Technology (275 citations), Structural Biology (43 citations), Medical Laboratory Technology (38 citations) and Pharmacology (392 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, Chun‐Hsiang Huang, Jane Wang and Fa‐Kuen Shieh. Their work appears in journals such as Journal of Occupational and Environmental Medicine, Population Health Management, Journal of Visualized Experiments, Journal of the American Chemical Society and BioMedical Engineering OnLine.

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.

Explore authors with similar magnitude of impact