Seong Kyu Han

739 total citations
56 papers, 577 citations indexed

About

Seong Kyu Han is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Seong Kyu Han has authored 56 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 21 papers in Physiology and 12 papers in Molecular Biology. Recurrent topics in Seong Kyu Han's work include Neuroscience and Neuropharmacology Research (18 papers), Pain Mechanisms and Treatments (17 papers) and Neuropeptides and Animal Physiology (10 papers). Seong Kyu Han is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Pain Mechanisms and Treatments (17 papers) and Neuropeptides and Animal Physiology (10 papers). Seong Kyu Han collaborates with scholars based in South Korea, Vietnam and New Zealand. Seong Kyu Han's co-authors include Janardhan P. Bhattarai, Pan Dong Ryu, Allan E. Herbison, Dong Hyu Cho, Kazuyuki Murase, In Se Lee, So Yeong Lee, Hua Yin, Juan Roa and Jin Bong Park and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Neurophysiology and Brain Research.

In The Last Decade

Seong Kyu Han

55 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong Kyu Han South Korea 13 153 118 111 94 85 56 577
Ruither Oliveira Gomes Carolino Brazil 17 174 1.1× 82 0.7× 156 1.4× 75 0.8× 119 1.4× 29 685
Петр Д. Шабанов Russia 10 133 0.9× 174 1.5× 133 1.2× 76 0.8× 35 0.4× 281 770
Joshua D. Rizak China 15 137 0.9× 138 1.2× 182 1.6× 43 0.5× 19 0.2× 39 676
Siomara C. Monteiro Brazil 12 107 0.7× 55 0.5× 65 0.6× 49 0.5× 39 0.5× 13 447
Nahid Majlessi Iran 10 140 0.9× 89 0.8× 81 0.7× 56 0.6× 14 0.2× 13 481
Seyed Morteza Karimian Iran 19 254 1.7× 141 1.2× 142 1.3× 56 0.6× 13 0.2× 37 674
Ewa Gibuła‐Tarłowska Poland 15 367 2.4× 143 1.2× 236 2.1× 66 0.7× 32 0.4× 48 708
Juhee Haam United States 9 186 1.2× 119 1.0× 164 1.5× 114 1.2× 11 0.1× 12 629
Manizheh Karami Iran 9 204 1.3× 94 0.8× 90 0.8× 65 0.7× 21 0.2× 44 385
Motty Franko Israel 9 185 1.2× 167 1.4× 182 1.6× 110 1.2× 10 0.1× 16 884

Countries citing papers authored by Seong Kyu Han

Since Specialization
Citations

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

Fields of papers citing papers by Seong Kyu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong Kyu Han. 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 Seong Kyu Han. The network helps show where Seong Kyu Han may publish in the future.

Co-authorship network of co-authors of Seong Kyu Han

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

All Works

20 of 20 papers shown
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Bhattarai, Janardhan P., et al.. (2023). Suppression of neurotransmission on gonadotropin-releasing hormone neurons in letrozole-induced polycystic ovary syndrome: A mouse model. Frontiers in Endocrinology. 13. 1059255–1059255. 3 indexed citations
3.
Cho, Dong Hyu, et al.. (2019). Action of citral on the substantia gelatinosa neurons of the trigeminal subnucleus caudalis in juvenile mice. The Chinese Journal of Physiology. 62(5). 175–175. 7 indexed citations
4.
Shen, Yiming, Jin Bong Park, So Yeong Lee, Seong Kyu Han, & Pan Dong Ryu. (2018). Exercise training normalizes elevated firing rate of hypothalamic presympathetic neurons in heart failure rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 316(2). R110–R120. 4 indexed citations
5.
Bhattarai, Janardhan P., et al.. (2016). Non-genomic action of vitamin D3 on N-methyl-D-aspartate and kainate receptor-mediated actions in juvenile gonadotrophin-releasing hormone neurons. Reproduction Fertility and Development. 29(6). 1231–1231. 16 indexed citations
6.
Bhattarai, Janardhan P., et al.. (2016). Effects of hypotaurine on substantia gelatinosa neurons of the trigeminal subnucleus caudalis in immature mice. Amino Acids. 48(12). 2843–2853. 2 indexed citations
7.
Han, Seong Kyu, et al.. (2015). Low Non-NMDA Receptor Current Density as Possible Protection Mechanism from Neurotoxicity of Circulating Glutamate on Subfornical Organ Neurons in Rats. Korean Journal of Physiology and Pharmacology. 19(2). 177–177. 3 indexed citations
8.
Bhattarai, Janardhan P., et al.. (2015). Activation of synaptic and extrasynaptic glycine receptors by taurine in preoptic hypothalamic neurons. Neuroscience Letters. 608. 51–56. 14 indexed citations
9.
Han, Seong Kyu & Janardhan P. Bhattarai. (2014). Phasic and tonic type A γ-Aminobutryic acid receptor mediated effect of Withania somnifera on mice hippocampal CA1 pyramidal Neurons. Journal of Ayurveda and Integrative Medicine. 5(4). 216–216. 3 indexed citations
10.
Bhattarai, Janardhan P., Juan Roa, Allan E. Herbison, & Seong Kyu Han. (2013). Serotonin Acts Through 5-HT1 and 5-HT2 Receptors to Exert Biphasic Actions on GnRH Neuron Excitability in the Mouse. Endocrinology. 155(2). 513–524. 39 indexed citations
11.
Yang, Eun Ju, et al.. (2012). Age-related changes in the effects of 5-hydroxytryptamine on substantia gelatinosa neurons of the trigeminal subnucleus caudalis. Neuroscience Letters. 510(2). 78–81. 4 indexed citations
12.
Stern, Javier E., Seul Ki Lee, Pan Dong Ryu, et al.. (2011). Neurosteroid modulation of benzodiazepine-sensitive GABAA tonic inhibition in supraoptic magnocellular neurons. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 300(6). R1578–R1587. 17 indexed citations
13.
Han, Seong Kyu, et al.. (2011). Glycine- and GABA-mimetic Actions of Shilajit on the Substantia Gelatinosa Neurons of the Trigeminal Subnucleus Caudalis in Mice. Korean Journal of Physiology and Pharmacology. 15(5). 285–285. 9 indexed citations
14.
Yin, Hua, et al.. (2010). Effects of 5-hydroxytryptamine on substantia gelatinosa neurons of the trigeminal subnucleus caudalis in immature mice. Brain Research. 1368. 91–101. 8 indexed citations
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16.
Han, Seong Kyu, et al.. (2009). Functional type I vanilloid receptor expression by substantia gelatinosa neurons of trigeminal subnucleus caudalis in mice. Neuroscience Letters. 452(3). 228–231. 5 indexed citations
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19.
Han, Seong Kyu, et al.. (2002). Noradrenaline Excites and Inhibits GABAergic Transmission in Parvocellular Neurons of Rat Hypothalamic Paraventricular Nucleus. Journal of Neurophysiology. 87(5). 2287–2296. 77 indexed citations
20.
Lee, H. S., et al.. (2001). Activation of metabotropic glutamate receptors inhibits GABAergic transmission in the rat subfornical organ. Neuroscience. 102(2). 401–411. 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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