Ying‐Hwa Chen

1.1k total citations · 1 hit paper
21 papers, 772 citations indexed

About

Ying‐Hwa Chen is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Ying‐Hwa Chen has authored 21 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Ying‐Hwa Chen's work include Cardiac Valve Diseases and Treatments (5 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers) and Acute Myocardial Infarction Research (4 papers). Ying‐Hwa Chen is often cited by papers focused on Cardiac Valve Diseases and Treatments (5 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers) and Acute Myocardial Infarction Research (4 papers). Ying‐Hwa Chen collaborates with scholars based in Taiwan, Brazil and United States. Ying‐Hwa Chen's co-authors include Shing‐Jong Lin, Shao‐Sung Huang, Hsin‐Bang Leu, Wei-Jan Chen, Chia‐Yu Chou, Yung‐Hsin Yeh, Jaw‐Wen Chen, Po‐Hsun Huang, Tse‐Min Lu and Cheng‐Hsueh Wu and has published in prestigious journals such as Circulation, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Ying‐Hwa Chen

18 papers receiving 766 citations

Hit Papers

Systemic immune‐inflammation index (SII) predicted clinic... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Ying‐Hwa Chen
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 328
  • Oncology 269
  • Epidemiology 188
  • Surgery 139
  • Molecular Biology 126
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Citations per field, relative to Ying‐Hwa Chen
Ying‐Hwa Chen · 1×
Citations per year, relative to Ying‐Hwa Chen
Ying‐Hwa Chen · 1×

Countries citing papers authored by Ying‐Hwa Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Hwa Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying‐Hwa Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Hwa Chen. A scholar is included among the top collaborators of Ying‐Hwa Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying‐Hwa Chen. Ying‐Hwa Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 0
5 3
6 0
7 4
8 1
9
Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery disease breakdown →
455
10 24
11 14
12 37
13 27
14 8
15 61
16 7
17 45
18 4
19 30
20 29

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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