Yi-Chun Yen

775 total citations
18 papers, 565 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 565 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), Stress Responses and Cortisol (4 papers) and Neuropeptides and Animal Physiology (4 papers). Yi-Chun Yen is often cited by papers focused on Neuroendocrine regulation and behavior (5 papers), Stress Responses and Cortisol (4 papers) and Neuropeptides and Animal Physiology (4 papers). Yi-Chun Yen collaborates with scholars based in Germany, Singapore and Sweden. Yi-Chun Yen's co-authors include Rainer Landgraf, Carsten T. Wotjak, Matthias Eder, Julien Dine, Ulrike Schmidt, H. Shawn Je, Irina Ionescu, Mirjam Bunck, Leonie Herrmann and Elmira Anderzhanova 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 556 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yi-Chun Yen Germany 13 212 198 114 106 102 18 565
Patrick N. Pallier United Kingdom 11 174 0.8× 263 1.3× 75 0.7× 124 1.2× 72 0.7× 16 593
Rajani Maiya United States 13 200 0.9× 328 1.7× 91 0.8× 95 0.9× 115 1.1× 27 602
Maximiliano Rapanelli United States 20 272 1.3× 207 1.0× 56 0.5× 232 2.2× 81 0.8× 29 952
Ana Verónica Domingues Portugal 11 185 0.9× 310 1.6× 57 0.5× 133 1.3× 73 0.7× 19 557
Szatmár Horváth Hungary 16 274 1.3× 287 1.4× 67 0.6× 141 1.3× 97 1.0× 37 837
Imran Alibhai United States 9 310 1.5× 368 1.9× 89 0.8× 89 0.8× 101 1.0× 11 688
Efrain Ribeiro United States 8 423 2.0× 350 1.8× 137 1.2× 102 1.0× 131 1.3× 14 856
Amelia L. Gallitano United States 19 330 1.6× 396 2.0× 87 0.8× 129 1.2× 62 0.6× 28 796
Zhongfei Yang China 5 153 0.7× 320 1.6× 53 0.5× 208 2.0× 179 1.8× 9 664
Allison R. Bechard United States 15 305 1.4× 259 1.3× 69 0.6× 143 1.3× 103 1.0× 28 838

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

18 of 18 papers shown
1.
Yu, Weonjin, Yixin Xiao, Anusha Jayaraman, et al.. (2025). Microbial metabolites tune amygdala neuronal hyperexcitability and anxiety-linked behaviors. EMBO Molecular Medicine. 17(2). 249–264. 2 indexed citations
2.
Agrawal, Ira, Wan Yun Ho, Yi-Chun Yen, et al.. (2020). Loss of TDP-43 in astrocytes leads to motor deficits by triggering A1-like reactive phenotype and triglial dysfunction. Proceedings of the National Academy of Sciences. 117(46). 29101–29112. 51 indexed citations
3.
Wong, Peiyan, et al.. (2020). The vulnerability of motor and frontal cortex-dependent behaviors in mice expressing ALS-linked mutation in TDP-43. Neurobiology of Aging. 92. 43–60. 9 indexed citations
4.
Fathima, Farah Naaz, et al.. (2020). Challenges and coping strategies faced by female scientists—A multicentric cross sectional study. PLoS ONE. 15(9). e0238635–e0238635. 22 indexed citations
5.
Ho, Wan Yun, Sheue-Houy Tyan, Yi-Chun Yen, et al.. (2019). FUS-mediated dysregulation of Sema5a, an autism-related gene, in FUS mice with hippocampus-dependent cognitive deficits. Human Molecular Genetics. 28(22). 3777–3791. 12 indexed citations
6.
7.
Sun, Alfred Xuyang, Qiang Yuan, Shawn Tan, et al.. (2016). Direct Induction and Functional Maturation of Forebrain GABAergic Neurons from Human Pluripotent Stem Cells. Cell Reports. 16(7). 1942–1953. 80 indexed citations
8.
Montagner, Alexandra, Agata Korecka, Arnaud Polizzi, et al.. (2016). Hepatic circadian clock oscillators and nuclear receptors integrate microbiome-derived signals. Scientific Reports. 6(1). 20127–20127. 98 indexed citations
9.
Slattery, David A., Roshan Ratnakar Naik, Thomas Grund, et al.. (2015). Selective Breeding for High Anxiety Introduces a Synonymous SNP That Increases Neuropeptide S Receptor Activity. Journal of Neuroscience. 35(11). 4599–4613. 50 indexed citations
10.
Yen, Yi-Chun, Nils C. Gassen, Andreas Zellner, et al.. (2015). Glycogen synthase kinase-3β inhibition in the medial prefrontal cortex mediates paradoxical amphetamine action in a mouse model of ADHD. Frontiers in Behavioral Neuroscience. 9. 67–67. 9 indexed citations
11.
Dine, Julien, Irina Ionescu, Charilaos Avrabos, et al.. (2015). Intranasally Applied Neuropeptide S Shifts a High-Anxiety Electrophysiological Endophenotype in the Ventral Hippocampus towards a "Normal"-Anxiety One. PLoS ONE. 10(4). e0120272–e0120272. 20 indexed citations
12.
Yen, Yi-Chun, et al.. (2013). Co-segregation of hyperactivity, active coping styles, and cognitive dysfunction in mice selectively bred for low levels of anxiety. Frontiers in Behavioral Neuroscience. 7. 103–103. 32 indexed citations
13.
Dine, Julien, Irina Ionescu, Jens Stepan, et al.. (2013). Identification of a Role for the Ventral Hippocampus in Neuropeptide S-Elicited Anxiolysis. PLoS ONE. 8(3). e60219–e60219. 20 indexed citations
14.
Bedenk, Benedikt T., et al.. (2012). Hippocampus-dependent place learning enables spatial flexibility in C57BL6/N mice. Frontiers in Behavioral Neuroscience. 6. 87–87. 36 indexed citations
15.
Gonik, Mariya, Elisabeth Frank, Melanie Keßler, et al.. (2012). The endocrine stress response is linked to one specific locus on chromosome 3 in a mouse model based on extremes in trait anxiety. BMC Genomics. 13(1). 579–579. 10 indexed citations
16.
Ionescu, Irina, Julien Dine, Yi-Chun Yen, et al.. (2012). Intranasally Administered Neuropeptide S (NPS) Exerts Anxiolytic Effects Following Internalization Into NPS Receptor-Expressing Neurons. Neuropsychopharmacology. 37(6). 1323–1337. 71 indexed citations
17.
Yen, Yi-Chun, Christoph P. Mauch, Maik Dahlhoff, et al.. (2012). Increased levels of conditioned fear and avoidance behavior coincide with changes in phosphorylation of the protein kinase B (AKT) within the amygdala in a mouse model of extremes in trait anxiety. Neurobiology of Learning and Memory. 98(1). 56–65. 23 indexed citations
18.
Yen, Yi-Chun. (2012). Emotional and cognitive aspects in two mouse lines selectively bred for extremes in anxiety-related behavior: from trait anxiety to psychopathology. Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München).

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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