Jiun Youn

835 total citations · 1 hit paper
9 papers, 551 citations indexed

About

Jiun Youn is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Jiun Youn has authored 9 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Social Psychology. Recurrent topics in Jiun Youn's work include Receptor Mechanisms and Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neuroendocrine regulation and behavior (3 papers). Jiun Youn is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neuroendocrine regulation and behavior (3 papers). Jiun Youn collaborates with scholars based in New Zealand, Netherlands and Sweden. Jiun Youn's co-authors include Bart Ellenbroek, Oliver Stiedl, Matthijs Verhage, Ilga Misane, Sven Ove Ögren, Jang‐Cheon Cho, Minhee Kim, Ruben van Boxtel, Won Hyuk Chang and Ling Shan and has published in prestigious journals such as British Journal of Pharmacology, Behavioural Brain Research and Neuropharmacology.

In The Last Decade

Jiun Youn

8 papers receiving 546 citations

Hit Papers

Rodent models in neurosci... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiun Youn New Zealand 7 177 137 128 93 80 9 551
Shannon L. Dean United States 9 147 0.8× 103 0.8× 80 0.6× 60 0.6× 119 1.5× 14 500
Igor Vukobradovic Canada 5 159 0.9× 159 1.2× 134 1.0× 150 1.6× 110 1.4× 7 587
Gabriella Contarini Italy 12 158 0.9× 124 0.9× 173 1.4× 199 2.1× 50 0.6× 24 639
Fei Luo China 14 176 1.0× 134 1.0× 110 0.9× 59 0.6× 59 0.7× 26 465
Sandy Popp Germany 14 234 1.3× 195 1.4× 147 1.1× 88 0.9× 86 1.1× 24 638
Leeyup Chung United States 17 231 1.3× 201 1.5× 162 1.3× 55 0.6× 84 1.1× 23 533
Avin Veerakumar United States 7 199 1.1× 140 1.0× 103 0.8× 75 0.8× 28 0.3× 7 450
Ashley P. Harris United States 7 301 1.7× 201 1.5× 168 1.3× 136 1.5× 81 1.0× 7 579
Maximiliano Rapanelli United States 20 207 1.2× 272 2.0× 232 1.8× 81 0.9× 118 1.5× 29 952
Tara Wright United States 6 387 2.2× 175 1.3× 217 1.7× 57 0.6× 51 0.6× 11 576

Countries citing papers authored by Jiun Youn

Since Specialization
Citations

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

Fields of papers citing papers by Jiun Youn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiun Youn. 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 Jiun Youn. The network helps show where Jiun Youn may publish in the future.

Co-authorship network of co-authors of Jiun Youn

This figure shows the co-authorship network connecting the top 25 collaborators of Jiun Youn. A scholar is included among the top collaborators of Jiun Youn 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 Jiun Youn. Jiun Youn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Youn, Jiun, Shuang Yang, Tae-Hwan Kim, et al.. (2025). Estimating treatment effect on timed 25-foot walk in multiple sclerosis: A systematic review and meta-analysis. Multiple Sclerosis and Related Disorders. 97. 106380–106380.
2.
Youn, Jiun, et al.. (2020). The role of dopamine D1 receptors in MDMA-induced memory impairments. Neurobiology of Learning and Memory. 176. 107322–107322. 4 indexed citations
3.
Chang, Won Hyuk, Minhee Kim, Jang‐Cheon Cho, et al.. (2016). Effect of cumulative repetitive transcranial magnetic stimulation on freezing of gait in patients with atypical Parkinsonism: A pilot study. Journal of Rehabilitation Medicine. 48(9). 824–828. 22 indexed citations
4.
Ellenbroek, Bart & Jiun Youn. (2016). Rodent models in neuroscience research: is it a rat race?. Disease Models & Mechanisms. 9(10). 1079–1087. 418 indexed citations breakdown →
5.
Ellenbroek, Bart, et al.. (2016). Does Prenatal Valproate Interact with a Genetic Reduction in the Serotonin Transporter? A Rat Study on Anxiety and Cognition. Frontiers in Neuroscience. 10. 424–424. 8 indexed citations
6.
Homberg, Judith R., Berend Olivier, Jiun Youn, et al.. (2016). The role of the dopamine D1 receptor in social cognition: studies using a novel genetic rat model. Disease Models & Mechanisms. 9(10). 1147–1158. 40 indexed citations
7.
Youn, Jiun, Ilga Misane, Anton W. Pieneman, et al.. (2013). Central 5‐HT1A receptor‐mediated modulation of heart rate dynamics and its adjustment by conditioned and unconditioned fear in mice. British Journal of Pharmacology. 170(4). 859–870. 13 indexed citations
8.
Youn, Jiun, et al.. (2011). Finding the right motivation: Genotype-dependent differences in effective reinforcements for spatial learning. Behavioural Brain Research. 226(2). 397–403. 25 indexed citations
9.
Youn, Jiun, Ilga Misane, Therése Eriksson, et al.. (2009). Bidirectional modulation of classical fear conditioning in mice by 5-HT1A receptor ligands with contrasting intrinsic activities. Neuropharmacology. 57(5-6). 567–576. 21 indexed citations

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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