Jen‐Chun Wang

962 citations
47 papers · 648 · h-index 14

Impact in

Papers in

Jen‐Chun Wang

42 papers receiving 641 citations

Peers

Jen‐Chun Wang
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 165
  • Emergency Medicine 58
  • Critical Care and Intensive Care Medicine 29
  • Pulmonary and Respiratory Medicine 181
  • Cardiology and Cardiovascular Medicine 101
Replace N B Hampson with:
N B Hampson United States
Pengfei Wang China
Yuko Nakagawa Japan
R Sternitzky Germany
Ayfer Çolak Türkiye
Evan Ross United States
Jingli Gao China
Lu Jia China
Stefano Ghirardello Italy
C. Aggeli Greece
Jen‐Chun Wang relative to N B Hampson United States N B Hampson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jen‐Chun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jen‐Chun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jen‐Chun Wang. 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 Jen‐Chun Wang. The network helps show where Jen‐Chun Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201660
3 201953
4 201647
5 201743
6 202140
7 202034
8 201924
9 201721
10 201919
11 201619
12 201718
13 201418
14 202114
15 201713
16 201912
17 201812
18 201812
19 202311
20 202011

About Jen‐Chun Wang

Jen‐Chun Wang is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Genetics and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 648 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (15 papers), Aortic Disease and Treatment Approaches (13 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Infectious Aortic and Vascular Conditions (4 papers), Cardiovascular and Diving-Related Complications (3 papers), Diabetes Management and Research (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (165 citations), Emergency Medicine (58 citations), Critical Care and Intensive Care Medicine (29 citations), Pulmonary and Respiratory Medicine (181 citations) and Cardiology and Cardiovascular Medicine (101 citations). Jen‐Chun Wang has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Shih‐Hung Tsai, Wen-I Liao, Chin-Wang Hsu, Wu‐Chien Chien, Chien‐Hsing Lee, Wei-Chou Chang, Wen-I Liao, Po‐Hsun Huang, Yu‐Juei Hsu and Hsiao‐Ya Tsai. Their work appears in journals such as The American Journal of Emergency Medicine, Scientific Reports, BMJ Open, Medicine and International Journal of Cardiology.

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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