Yen‐Yi Zhen

53 total papers · 2.3k total citations
45 papers, 1.9k citations indexed

About

Yen‐Yi Zhen is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yen‐Yi Zhen has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Surgery and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yen‐Yi Zhen's work include Mesenchymal stem cell research (5 papers), Cardiac Fibrosis and Remodeling (5 papers) and Chronic Kidney Disease and Diabetes (5 papers). Yen‐Yi Zhen is often cited by papers focused on Mesenchymal stem cell research (5 papers), Cardiac Fibrosis and Remodeling (5 papers) and Chronic Kidney Disease and Diabetes (5 papers). Yen‐Yi Zhen collaborates with scholars based in Taiwan, United States and Germany. Yen‐Yi Zhen's co-authors include Hon‐Kan Yip, Cheuk‐Kwan Sun, Steve Leu, Hsueh‐Wen Chang, Angelika A. Noegel, Elena Korenbaum, Yung‐Lung Chen, Martina Munck, Pei‐Hsun Sung and Tzu‐Hsien Tsai and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Yen‐Yi Zhen

45 papers receiving 1.9k citations

Hit Papers

FAK in Cancer: From Mecha... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Yen‐Yi Zhen 833 363 270 213 187 45 1.9k
Patrick A. Dreyfus 1.1k 1.4× 309 0.9× 322 1.2× 148 0.7× 290 1.6× 49 2.0k
Weiquan Zhu 883 1.1× 251 0.7× 317 1.2× 156 0.7× 85 0.5× 42 2.0k
Constance J. Temm 1.2k 1.5× 376 1.0× 335 1.2× 258 1.2× 171 0.9× 30 2.1k
Mauro Torti 770 0.9× 191 0.5× 287 1.1× 246 1.2× 357 1.9× 71 2.4k
Sandra Merscher 1.2k 1.4× 332 0.9× 247 0.9× 300 1.4× 135 0.7× 55 2.8k
Lars Muhl 1.1k 1.3× 285 0.8× 236 0.9× 184 0.9× 247 1.3× 38 2.3k
Norifumi Urao 1.1k 1.3× 301 0.8× 229 0.8× 113 0.5× 217 1.2× 49 2.3k
Daniel C. Morris 735 0.9× 429 1.2× 175 0.6× 275 1.3× 159 0.9× 64 2.5k
Frances L. Johnson 941 1.1× 543 1.5× 201 0.7× 198 0.9× 384 2.1× 45 2.5k
Andrea Pellacani 1.0k 1.2× 232 0.6× 587 2.2× 147 0.7× 236 1.3× 48 2.1k

Countries citing papers authored by Yen‐Yi Zhen

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Yi Zhen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen‐Yi Zhen. 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 Yen‐Yi Zhen. The network helps show where Yen‐Yi Zhen may publish in the future.

Co-authorship network of co-authors of Yen‐Yi Zhen

This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Yi Zhen. A scholar is included among the top collaborators of Yen‐Yi Zhen 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 Yen‐Yi Zhen. Yen‐Yi Zhen 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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