Shao-Wei Chen

401 citations
41 papers · 223 · h-index 10

Impact in

Papers in

Shao-Wei Chen

31 papers receiving 220 citations

Peers

Shao-Wei Chen
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 70
  • Emergency Medicine 28
  • Pulmonary and Respiratory Medicine 55
  • Endocrinology, Diabetes and Metabolism 27
  • Health, Toxicology and Mutagenesis 21
Replace Sanjay Agarwal with:
Sanjay Agarwal United States
Daisuke Kitano Japan
Moritz Schanz Germany
Hakan Güneş Türkiye
Chin-Wang Hsu Taiwan
Angela Chen Australia
John Molvin Sweden
G. Maiocchi Italy
Shih-Yu Huang Taiwan
Ernesto Calderón Martinez Mexico
Shao-Wei Chen relative to Sanjay Agarwal United States Sanjay Agarwal's profile →
Citations per field
00.5×10×14×
Sanjay Agarwal · 1×
Citations per year

Countries citing papers authored by Shao-Wei Chen

Since Specialization
Citations

This map shows the geographic impact of Shao-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 Shao-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 Shao-Wei Chen more than expected).

Fields of papers citing papers by Shao-Wei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shao-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 Shao-Wei Chen Line = papers co-authored together Shao-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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202330
2 201425
3 202216
4 201313
5 201711
6 202111
7 202310
8 202310
9 20209
10 20249
11 20188
12 20227
13 20187
14 20227
15 20227
16 20136
17 20246
18 20235
19 20254
20 20213

About Shao-Wei Chen

Shao-Wei Chen is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 223 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (8 papers), Aortic Disease and Treatment Approaches (8 papers), Cardiac Valve Diseases and Treatments (7 papers), Infectious Aortic and Vascular Conditions (6 papers), Atrial Fibrillation Management and Outcomes (5 papers), Diabetes Treatment and Management (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers) and Infective Endocarditis Diagnosis and Management (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (70 citations), Emergency Medicine (28 citations), Pulmonary and Respiratory Medicine (55 citations), Endocrinology, Diabetes and Metabolism (27 citations) and Health, Toxicology and Mutagenesis (21 citations). Shao-Wei Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Pao‐Hsien Chu, Yi‐Hsin Chan, Tze‐Fan Chao, Victor Chien‐Chia Wu, Chien‐Hung Liao, Shang‐Yu Wang, Chih‐Yuan Fu, Gregory Y.H. Lip, Yu‐Pao Hsu and Fu‐Chih Hsiao. Their work appears in journals such as European Heart Journal, PLoS ONE, The Annals of Thoracic Surgery, The Journal of Clinical Endocrinology & Metabolism and EP Europace.

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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