Seongsik Yun

1.0k total citations
19 papers, 802 citations indexed

About

Seongsik Yun is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Seongsik Yun has authored 19 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Seongsik Yun's work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroscience and Neuropharmacology Research (3 papers). Seongsik Yun is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroscience and Neuropharmacology Research (3 papers). Seongsik Yun collaborates with scholars based in South Korea, United States and France. Seongsik Yun's co-authors include Jae Young Seong, Jong‐Ik Hwang, Gi Hoon Son, Dong-Kyu Kim, Hubert Vaudry, Arfaxad Reyes‐Alcaraz, Cho Rong Park, Sooyoung Chung, Han Kyoung Choe and Eun Jeong Lee and has published in prestigious journals such as Cell, Nature Neuroscience and PLoS ONE.

In The Last Decade

Seongsik Yun

18 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seongsik Yun South Korea 12 382 341 220 151 119 19 802
Jérôme Clasadonte France 13 357 0.9× 251 0.7× 241 1.1× 479 3.2× 165 1.4× 20 1.2k
Michael Belenky Israel 14 538 1.4× 522 1.5× 292 1.3× 84 0.6× 153 1.3× 24 984
Ryoichi Teruyama United States 20 418 1.1× 295 0.9× 294 1.3× 78 0.5× 65 0.5× 37 1.0k
Bertalan Dudás United States 18 190 0.5× 231 0.7× 178 0.8× 190 1.3× 110 0.9× 47 774
Matei Bolborea United Kingdom 16 549 1.4× 95 0.3× 189 0.9× 169 1.1× 181 1.5× 19 898
Valeriy Sergeyev Russia 8 304 0.8× 504 1.5× 317 1.4× 40 0.3× 174 1.5× 13 954
Cristina Cocco Italy 20 232 0.6× 210 0.6× 207 0.9× 64 0.4× 197 1.7× 44 974
María I. Vacas Argentina 21 668 1.7× 307 0.9× 181 0.8× 123 0.8× 233 2.0× 46 1.1k
Dika Kuljis United States 15 299 0.8× 397 1.2× 341 1.6× 24 0.2× 166 1.4× 19 806
Sadao Yamaoka Japan 15 315 0.8× 190 0.6× 101 0.5× 67 0.4× 70 0.6× 39 652

Countries citing papers authored by Seongsik Yun

Since Specialization
Citations

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

Fields of papers citing papers by Seongsik Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongsik Yun

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

All Works

19 of 19 papers shown
1.
Yun, Seongsik & Jones G. Parker. (2025). Cellular‐Resolution and Bulk‐Fluorescence Recordings of Calcium Activity Yield Reciprocal Readouts of In Vivo Drug Efficacy. Synapse. 79(2). e70011–e70011. 1 indexed citations
2.
Yang, Ben, et al.. (2025). Lateralized nigrostriatal dopamine pathway activation promotes early reversal learning. Frontiers in Behavioral Neuroscience. 19. 1703094–1703094.
3.
Yun, Seongsik, Ben Yang, Arin Pamukcu, et al.. (2023). Antipsychotic drug efficacy correlates with the modulation of D1 rather than D2 receptor-expressing striatal projection neurons. Nature Neuroscience. 26(8). 1417–1428. 33 indexed citations
4.
Yun, Seongsik, et al.. (2022). The effect of selective nigrostriatal dopamine excess on behaviors linked to the cognitive and negative symptoms of schizophrenia. Neuropsychopharmacology. 48(4). 690–699. 12 indexed citations
5.
Jeong, Inyoung, Seongsik Yun, Eun Bee Cho, et al.. (2021). FAM19A5l Affects Mustard Oil-Induced Peripheral Nociception in Zebrafish. Molecular Neurobiology. 58(9). 4770–4785. 8 indexed citations
6.
Reyes‐Alcaraz, Arfaxad, et al.. (2020). Exploring the molecular structures that confer ligand selectivity for galanin type II and III receptors. PLoS ONE. 15(3). e0230872–e0230872. 7 indexed citations
7.
Cho, Eun Bee, et al.. (2020). The unique expression profile of FAM19A1 in the mouse brain and its association with hyperactivity, long-term memory and fear acquisition. Scientific Reports. 10(1). 3969–3969. 10 indexed citations
8.
Yun, Seongsik, Eun Jeong Lee, Han Kyoung Choe, et al.. (2020). Programming effects of maternal stress on the circadian system of adult offspring. Experimental & Molecular Medicine. 52(3). 473–484. 17 indexed citations
9.
Reyes‐Alcaraz, Arfaxad, et al.. (2019). Monitoring GPCR-β-arrestin1/2 Interactions in Real Time Living Systems to Accelerate Drug Discovery. Journal of Visualized Experiments. 6 indexed citations
10.
Yun, Seongsik, Arfaxad Reyes‐Alcaraz, Byung‐Joo Ham, et al.. (2019). Spexin-Based Galanin Receptor Type 2 Agonist for Comorbid Mood Disorders and Abnormal Body Weight. Frontiers in Neuroscience. 13. 391–391. 44 indexed citations
11.
Reyes‐Alcaraz, Arfaxad, et al.. (2018). Conformational signatures in β-arrestin2 reveal natural biased agonism at a G-protein-coupled receptor. Communications Biology. 1(1). 128–128. 43 indexed citations
12.
Reyes‐Alcaraz, Arfaxad, Gi Hoon Son, Nam Hoon Kim, et al.. (2016). Development of Spexin-based Human Galanin Receptor Type II-Specific Agonists with Increased Stability in Serum and Anxiolytic Effect in Mice. Scientific Reports. 6(1). 21453–21453. 67 indexed citations
13.
Yun, Seongsik, Michael Furlong, Gyu Seok Cho, et al.. (2015). Prevertebrate Local Gene Duplication Facilitated Expansion of the Neuropeptide GPCR Superfamily. Molecular Biology and Evolution. 32(11). 2803–2817. 33 indexed citations
14.
Kim, Dong-Kyu, Seongsik Yun, Gi Hoon Son, et al.. (2014). Coevolution of the Spexin/Galanin/Kisspeptin Family: Spexin Activates Galanin Receptor Type II and III. Endocrinology. 155(5). 1864–1873. 197 indexed citations
15.
16.
Chung, Sooyoung, Eun Jeong Lee, Seongsik Yun, et al.. (2014). Impact of Circadian Nuclear Receptor REV-ERBα on Midbrain Dopamine Production and Mood Regulation. Cell. 157(4). 858–868. 245 indexed citations
17.
Hwang, Jong‐Ik, Seongsik Yun, Mi Jin Moon, Cho Rong Park, & Jae Young Seong. (2014). MOLECULAR EVOLUTION OF GPCRS: GLP1/GLP1 receptors. Journal of Molecular Endocrinology. 52(3). T15–T27. 18 indexed citations
18.
Yun, Seongsik, Dong-Kyu Kim, Michael Furlong, et al.. (2014). Does Kisspeptin Belong to the Proposed RF-Amide Peptide Family?. Frontiers in Endocrinology. 5. 134–134. 28 indexed citations
19.
Mangold, Colleen A., Iwona Ksiazek, Seongsik Yun, Eva Berger, & Christoph A. Binkert. (2008). Distribution of neuromedin U binding sites in the rat CNS revealed by in vitro receptor autoradiography. Neuropeptides. 42(4). 377–386. 7 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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