Yi-Chun Yen

21 total papers · 756 total citations
18 papers, 564 citations indexed

About

Yi-Chun Yen is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Yi-Chun Yen has authored 18 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Yi-Chun Yen's work include Neuroendocrine regulation and behavior (5 papers), Sleep and Wakefulness Research (4 papers) and Stress Responses and Cortisol (4 papers). Yi-Chun Yen is often cited by papers focused on Neuroendocrine regulation and behavior (5 papers), Sleep and Wakefulness Research (4 papers) and Stress Responses and Cortisol (4 papers). Yi-Chun Yen collaborates with scholars based in Germany, Singapore and United States. Yi-Chun Yen's co-authors include Rainer Landgraf, Carsten T. Wotjak, Herta Flor, H. Shawn Je, Matthias Eder, Irina Ionescu, Ulrike Schmidt, Julien Dine, Mirjam Bunck and Leonie Herrmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Yi-Chun Yen

17 papers receiving 555 citations

Author Peers

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

Author Last Decade Papers Cites
Yi-Chun Yen 212 197 113 106 102 18 564
Patrick N. Pallier 174 0.8× 262 1.3× 75 0.7× 123 1.2× 72 0.7× 16 590
L. Rosén 189 0.9× 272 1.4× 114 1.0× 64 0.6× 85 0.8× 15 639
S. Kohama 106 0.5× 153 0.8× 97 0.9× 82 0.8× 112 1.1× 20 634
Rodrigo Moraga‐Amaro 290 1.4× 244 1.2× 127 1.1× 100 0.9× 51 0.5× 27 685
Gustavo Morrone Parfitt 219 1.0× 314 1.6× 77 0.7× 196 1.8× 75 0.7× 24 668
J.K. Mai 253 1.2× 372 1.9× 67 0.6× 114 1.1× 81 0.8× 19 603
Maria Angélica De Souza Silva 188 0.9× 318 1.6× 145 1.3× 207 2.0× 91 0.9× 19 675
Iris Gispan 170 0.8× 273 1.4× 73 0.6× 58 0.5× 82 0.8× 21 626
Rajani Maiya 199 0.9× 327 1.7× 91 0.8× 95 0.9× 115 1.1× 27 600
Oleg Granstrem 194 0.9× 282 1.4× 64 0.6× 119 1.1× 95 0.9× 27 646

Countries citing papers authored by Yi-Chun Yen

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Chun Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi-Chun Yen

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