Yuying C. Hwang

59 total papers · 2.2k total citations
34 papers, 1.8k citations indexed

About

Yuying C. Hwang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cell Biology. According to data from OpenAlex, Yuying C. Hwang has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Pathology and Forensic Medicine and 9 papers in Cell Biology. Recurrent topics in Yuying C. Hwang's work include Aldose Reductase and Taurine (7 papers), Cardiac Ischemia and Reperfusion (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Yuying C. Hwang is often cited by papers focused on Aldose Reductase and Taurine (7 papers), Cardiac Ischemia and Reperfusion (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Yuying C. Hwang collaborates with scholars based in United States, Japan and United Kingdom. Yuying C. Hwang's co-authors include Ravichandran Ramasamy, Michiyo Kaneko, Frank W. Fowler, Soliman A. Bakr, David S. Hong, Ann Marie Schmidt, Peter J. Oates, Radha Ananthakrishnan, Dah‐Ren Hwang and Marc Laruelle and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Oncology.

In The Last Decade

Yuying C. Hwang

33 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Yuying C. Hwang 745 335 301 247 235 34 1.8k
Jihong Lin 987 1.3× 484 1.4× 114 0.4× 170 0.7× 191 0.8× 48 2.3k
D. Kirk Ways 1.6k 2.1× 148 0.4× 122 0.4× 221 0.9× 209 0.9× 44 2.3k
Erwin J. Landon 1.1k 1.5× 113 0.3× 105 0.3× 236 1.0× 194 0.8× 55 2.0k
Bong Sook Jhun 1.5k 2.0× 164 0.5× 112 0.4× 131 0.5× 179 0.8× 51 2.2k
Charles W. Heilig 817 1.1× 295 0.9× 120 0.4× 176 0.7× 91 0.4× 39 1.9k
Jun Inatomi 1.2k 1.6× 313 0.9× 183 0.6× 72 0.3× 203 0.9× 31 1.9k
Francesc González‐Sastre 700 0.9× 222 0.7× 88 0.3× 178 0.7× 111 0.5× 61 2.1k
Jérôme Piquereau 1.3k 1.7× 135 0.4× 178 0.6× 204 0.8× 62 0.3× 39 2.2k
Eitaro Nakashima 642 0.9× 238 0.7× 75 0.2× 263 1.1× 245 1.0× 49 1.9k
Yongli Kong 1.3k 1.8× 92 0.3× 201 0.7× 259 1.0× 133 0.6× 22 2.3k

Countries citing papers authored by Yuying C. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Yuying C. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuying C. Hwang. 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 Yuying C. Hwang. The network helps show where Yuying C. Hwang may publish in the future.

Co-authorship network of co-authors of Yuying C. Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuying C. Hwang. A scholar is included among the top collaborators of Yuying C. Hwang 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 Yuying C. Hwang. Yuying C. Hwang 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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2026