Yun‐Hsiang Chen

38 total papers · 1.0k total citations
35 papers, 813 citations indexed

About

Yun‐Hsiang Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Yun‐Hsiang Chen has authored 35 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Immunology. Recurrent topics in Yun‐Hsiang Chen's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Yun‐Hsiang Chen is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Yun‐Hsiang Chen collaborates with scholars based in Taiwan, United States and United Kingdom. Yun‐Hsiang Chen's co-authors include Chia‐Hsiang Chen, Richard E. Randall, Stephen Goodbourn, Gang Zhang, Louise Hilton, John W. McCauley, Ning‐Sun Yang, Wen‐Chin Yang, Huiming Chen and Chih-Chun Wen and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Yun‐Hsiang Chen

35 papers receiving 800 citations

Author Peers

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

Author Last Decade Papers Cites
Yun‐Hsiang Chen 285 282 148 145 118 35 813
Nigel Horscroft 305 1.1× 313 1.1× 335 2.3× 239 1.6× 84 0.7× 23 1.0k
Nitin Khandelwal 138 0.5× 336 1.2× 189 1.3× 152 1.0× 148 1.3× 41 1.0k
Jacek Kowalski 204 0.7× 297 1.1× 254 1.7× 87 0.6× 43 0.4× 63 977
P H Yuen 334 1.2× 356 1.3× 126 0.9× 96 0.7× 380 3.2× 36 931
Renée N. Douville 353 1.2× 502 1.8× 119 0.8× 103 0.7× 145 1.2× 32 1.0k
Thibault Andrieu 313 1.1× 455 1.6× 151 1.0× 107 0.7× 210 1.8× 25 1.1k
Stephen M. Laidlaw 245 0.9× 279 1.0× 364 2.5× 151 1.0× 366 3.1× 28 976
Heike Kollmus 159 0.6× 547 1.9× 158 1.1× 125 0.9× 36 0.3× 31 1.0k
Angela Siegling 239 0.8× 133 0.5× 121 0.8× 54 0.4× 108 0.9× 21 730
M. Reza Sadaie 173 0.6× 391 1.4× 240 1.6× 268 1.8× 381 3.2× 33 1.0k

Countries citing papers authored by Yun‐Hsiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Hsiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun‐Hsiang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐Hsiang Chen. A scholar is included among the top collaborators of Yun‐Hsiang 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 Yun‐Hsiang Chen. Yun‐Hsiang 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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