Chien‐Wei Chen

83 papers receiving 1.4k citations

Peers

Chien‐Wei Chen
Comparison fields: 5 of 151
  • Internal Medicine 80
  • Psychiatry and Mental health 108
  • Small Animals 57
  • Mechanics of Materials 166
  • Health, Toxicology and Mutagenesis 86
Replace Jin Dai with:
Jin Dai China
Massimo Milani Italy
Ramanathan Kadirvel United States
Hong Li China
M. Phillips United States
Takashi Shimizu Japan
Qiang Xu China
John Davis United Kingdom
Markus Weiß Switzerland
Ting Wang China
Chien‐Wei Chen relative to Jin Dai China Jin Dai's profile →
Citations per field
00.5×8.3×
Jin Dai · 1×
Citations per year

Countries citing papers authored by Chien‐Wei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Wei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010229
2 201979
3 201976
4 201767
5 201858
6 201351
7 200846
8 201046
9 201345
10 200942
11 202032
12 200832
13 201623
14 200722
15 201421
16 200721
17 201820
18 201920
19 202119
20 202019

About Chien‐Wei Chen

Chien‐Wei Chen is a scholar working on Surgery, Molecular Biology, Internal Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diagnosis and Treatment of Venous Diseases (14 papers), Venous Thromboembolism Diagnosis and Management (11 papers), Asthma and respiratory diseases (6 papers), Central Venous Catheters and Hemodialysis (5 papers), Mercury impact and mitigation studies (4 papers), Allergic Rhinitis and Sensitization (4 papers), Hormonal and reproductive studies (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Internal Medicine (80 citations), Psychiatry and Mental health (108 citations), Small Animals (57 citations), Mechanics of Materials (166 citations) and Health, Toxicology and Mutagenesis (86 citations). Chien‐Wei Chen has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Yongxi Huang, Yueyue Fan, Preetam Gandhi, Yao‐Kuang Huang, Yuan‐Hsiung Tsai, Guy Peachey, Gert‐Jan Braunstahl, Michael Huß, Vinod Kumar and J Chlumský. Their work appears in journals such as Medicine, Energy & Fuels, Journal of Personalized Medicine, International Journal of Molecular Sciences and Phlebology The Journal of Venous Disease.

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