Ying‐Hwa Chen

37 total papers · 1.1k total citations
21 papers, 761 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 761 indexed citations (citations by other indexed papers that have themselves been cited), including 12 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 Heme Oxygenase-1 and Carbon Monoxide (5 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). Ying‐Hwa Chen is often cited by papers focused on Heme Oxygenase-1 and Carbon Monoxide (5 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). Ying‐Hwa Chen collaborates with scholars based in Taiwan, United States and Brazil. Ying‐Hwa Chen's co-authors include Shao‐Sung Huang, Shing‐Jong Lin, Chia‐Yu Chou, Wei-Jan Chen, Yung‐Hsin Yeh, Hsin‐Bang Leu, Po‐Hsun Huang, Jaw‐Wen Chen, Pai‐Feng Hsu 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 755 citations

Hit Papers

Systemic immune‐inflammat... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ying‐Hwa Chen 323 264 186 139 126 21 761
Ju‐Pin Pan 269 0.8× 266 1.0× 156 0.8× 185 1.3× 101 0.8× 28 811
Tao‐Cheng Wu 273 0.8× 259 1.0× 156 0.8× 122 0.9× 55 0.4× 24 728
Zoltán Pozsonyi 229 0.7× 482 1.8× 231 1.2× 72 0.5× 137 1.1× 28 857
Wan Leong Chan 372 1.2× 259 1.0× 166 0.9× 142 1.0× 39 0.3× 21 702
Muhammad Salman Akhtar 177 0.5× 296 1.1× 178 1.0× 135 1.0× 54 0.4× 17 718
Franca Cocci 210 0.7× 223 0.8× 153 0.8× 127 0.9× 143 1.1× 26 818
Zsolt Förhécz 206 0.6× 474 1.8× 224 1.2× 67 0.5× 97 0.8× 14 817
Adnan Burak Akçay 254 0.8× 231 0.9× 191 1.0× 98 0.7× 54 0.4× 45 624
Henry Nording 194 0.6× 132 0.5× 157 0.8× 98 0.7× 142 1.1× 18 812
Miri Revivo 308 1.0× 481 1.8× 197 1.1× 168 1.2× 49 0.4× 23 846

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

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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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