Sheng‐Ying Chung

80 total papers · 2.7k total citations
75 papers, 2.2k citations indexed

About

Sheng‐Ying Chung is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Sheng‐Ying Chung has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cardiology and Cardiovascular Medicine, 25 papers in Surgery and 23 papers in Molecular Biology. Recurrent topics in Sheng‐Ying Chung's work include Angiogenesis and VEGF in Cancer (12 papers), Acute Myocardial Infarction Research (12 papers) and Cardiovascular Function and Risk Factors (9 papers). Sheng‐Ying Chung is often cited by papers focused on Angiogenesis and VEGF in Cancer (12 papers), Acute Myocardial Infarction Research (12 papers) and Cardiovascular Function and Risk Factors (9 papers). Sheng‐Ying Chung collaborates with scholars based in Taiwan, United Kingdom and United States. Sheng‐Ying Chung's co-authors include Hon‐Kan Yip, Cheuk‐Kwan Sun, Yung‐Lung Chen, Sarah Chua, Steve Leu, Pei‐Hsun Sung, Han‐Tan Chai, Jiunn‐Jye Sheu, Tzu‐Hsien Tsai and Li‐Teh Chang and has published in prestigious journals such as International Journal of Molecular Sciences, Critical Care Medicine and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Sheng‐Ying Chung

74 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Sheng‐Ying Chung 735 624 466 414 399 75 2.2k
Han‐Tan Chai 619 0.8× 870 1.4× 476 1.0× 433 1.0× 337 0.8× 89 2.2k
Li‐Teh Chang 826 1.1× 915 1.5× 622 1.3× 557 1.3× 478 1.2× 72 2.7k
Tzu‐Hsien Tsai 688 0.9× 501 0.8× 453 1.0× 249 0.6× 219 0.5× 63 2.0k
Brent R. Weil 750 1.0× 626 1.0× 306 0.7× 666 1.6× 359 0.9× 99 2.3k
Gianpaolo Zerbini 704 1.0× 920 1.5× 518 1.1× 404 1.0× 229 0.6× 94 3.2k
Fan-Yen Lee 881 1.2× 558 0.9× 594 1.3× 375 0.9× 396 1.0× 95 2.1k
Tzu‐Hsien Tsai 545 0.7× 452 0.7× 438 0.9× 337 0.8× 247 0.6× 65 1.7k
Jiunn‐Jye Sheu 953 1.3× 768 1.2× 711 1.5× 353 0.9× 405 1.0× 121 2.6k
Pei‐Hsun Sung 884 1.2× 1.1k 1.7× 462 1.0× 525 1.3× 413 1.0× 174 3.3k
Aaron M. Abarbanell 692 0.9× 537 0.9× 271 0.6× 723 1.7× 204 0.5× 67 1.9k

Countries citing papers authored by Sheng‐Ying Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Ying Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng‐Ying Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Ying Chung. A scholar is included among the top collaborators of Sheng‐Ying Chung 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 Sheng‐Ying Chung. Sheng‐Ying Chung 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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