Yeonsook Shin

1.1k total citations · 1 hit paper
8 papers, 849 citations indexed

About

Yeonsook Shin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Yeonsook Shin has authored 8 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Yeonsook Shin's work include Neuroscience and Neuropharmacology Research (6 papers), Ion channel regulation and function (3 papers) and Receptor Mechanisms and Signaling (3 papers). Yeonsook Shin is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Ion channel regulation and function (3 papers) and Receptor Mechanisms and Signaling (3 papers). Yeonsook Shin collaborates with scholars based in Japan, United States and Canada. Yeonsook Shin's co-authors include Stuart A. Lipton, Dongxian Zhang, Shichun Tu, Nobuki Nakanishi, Hiroto Takahashi, Jiankun Cui, Maria Talantova, Gang Tong, Jon E. Chatterton and Kevin A. Sevarino and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Yeonsook Shin

8 papers receiving 833 citations

Hit Papers

Excitatory glycine receptors containing the NR3 family of... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeonsook Shin Japan 8 634 483 111 109 100 8 849
Chui‐Se Tham United States 16 562 0.9× 607 1.3× 80 0.7× 83 0.8× 124 1.2× 16 1.1k
Amanda L. Sheldon United States 7 621 1.0× 404 0.8× 133 1.2× 58 0.5× 133 1.3× 9 853
Paı̈kan Marcaggi France 18 738 1.2× 442 0.9× 72 0.6× 207 1.9× 214 2.1× 28 966
José Luis Galbete Switzerland 6 463 0.7× 341 0.7× 168 1.5× 91 0.8× 218 2.2× 7 769
Ada Ledonne Italy 16 432 0.7× 296 0.6× 114 1.0× 92 0.8× 116 1.2× 31 783
Amina Rafiki France 10 521 0.8× 369 0.8× 124 1.1× 130 1.2× 89 0.9× 10 786
Laurent Ladépêche France 10 835 1.3× 506 1.0× 112 1.0× 148 1.4× 114 1.1× 11 1.1k
Wencke Armsen Germany 9 753 1.2× 490 1.0× 165 1.5× 59 0.5× 85 0.8× 9 1.0k
Silvia Holmseth Norway 14 762 1.2× 504 1.0× 147 1.3× 89 0.8× 93 0.9× 16 1.1k
Marilyne Labasque France 9 646 1.0× 413 0.9× 114 1.0× 91 0.8× 67 0.7× 11 942

Countries citing papers authored by Yeonsook Shin

Since Specialization
Citations

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

Fields of papers citing papers by Yeonsook Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeonsook Shin

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

All Works

8 of 8 papers shown
1.
Xia, Kun, Hui Xiong, Yeonsook Shin, et al.. (2010). Roles of KChIP1 in the regulation of GABA-mediated transmission and behavioral anxiety. Molecular Brain. 3(1). 23–23. 17 indexed citations
2.
Nakanishi, Nobuki, Shichun Tu, Yeonsook Shin, et al.. (2009). Neuroprotection by the NR3A Subunit of the NMDA Receptor. Journal of Neuroscience. 29(16). 5260–5265. 97 indexed citations
3.
Takahashi, Hiroto, Yeonsook Shin, Wagner Zago, et al.. (2007). Hypoxia Enhances S-Nitrosylation-Mediated NMDA Receptor Inhibition via a Thiol Oxygen Sensor Motif. Neuron. 53(1). 53–64. 90 indexed citations
4.
Tu, Shichun, Yeonsook Shin, Wagner Zago, et al.. (2007). Takusan: A Large Gene Family that Regulates Synaptic Activity. Neuron. 55(1). 69–85. 19 indexed citations
5.
Tong, Gary, Hiroto Takahashi, Shichun Tu, et al.. (2007). Modulation of NMDA Receptor Properties and Synaptic Transmission by the NR3A Subunit in Mouse Hippocampal and Cerebrocortical Neurons. Journal of Neurophysiology. 99(1). 122–132. 70 indexed citations
6.
Higashida, Haruhiro, Jiasheng Zhang, Sumiko Mochida, et al.. (2003). Subtype‐specific coupling with ADP‐ribosyl cyclase of metabotropic glutamate receptors in retina, cervical superior ganglion and NG108‐15 cells. Journal of Neurochemistry. 85(5). 1148–1158. 15 indexed citations
7.
Chatterton, Jon E., Marc Awobuluyi, Louis S. Premkumar, et al.. (2002). Excitatory glycine receptors containing the NR3 family of NMDA receptor subunits. Nature. 415(6873). 793–798. 520 indexed citations breakdown →
8.
Higashida, Haruhiro, Shigeru Yokoyama, Naoto Hoshi, et al.. (2001). Signal Transduction from Bradykinin, Angiotensin, Adrenergic and Muscarinic Receptors to Effector Enzymes, Including ADP-Ribosyl Cyclase. Biological Chemistry. 382(1). 23–30. 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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