Sungho Ghil

646 total citations
36 papers, 522 citations indexed

About

Sungho Ghil is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Sungho Ghil has authored 36 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Surgery. Recurrent topics in Sungho Ghil's work include Receptor Mechanisms and Signaling (10 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Sungho Ghil is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Sungho Ghil collaborates with scholars based in South Korea, United States and Argentina. Sungho Ghil's co-authors include Haeyoung Suh‐Kim, Young‐Don Lee, Sung‐Soo Kim, Jin Ho Lee, Jung-Mi Choi, Ji Youl Lee, Soon Young Paik, Soon Hong Yuk, John R. Hepler and Kelly L. McCoy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Sungho Ghil

33 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungho Ghil South Korea 14 310 109 108 92 51 36 522
Teuta Domi Italy 14 345 1.1× 49 0.4× 155 1.4× 88 1.0× 22 0.4× 23 662
Stephanie Wu United States 12 324 1.0× 59 0.5× 71 0.7× 51 0.6× 70 1.4× 20 629
Ahmed Abdelmaksoud Egypt 14 163 0.5× 52 0.5× 84 0.8× 81 0.9× 95 1.9× 36 461
Dáša Doležalová Czechia 9 442 1.4× 37 0.3× 82 0.8× 53 0.6× 86 1.7× 10 573
Dunja Lukovic Spain 18 543 1.8× 69 0.6× 261 2.4× 81 0.9× 128 2.5× 31 868
Flavio Cimadamore United States 13 542 1.7× 71 0.7× 93 0.9× 51 0.6× 137 2.7× 13 812
Oliver Hummel Germany 14 664 2.1× 84 0.8× 62 0.6× 47 0.5× 43 0.8× 20 811
Э. Б. Дашинимаев Russia 14 312 1.0× 72 0.7× 56 0.5× 34 0.4× 32 0.6× 53 475
Shailesh Gupta United States 13 294 0.9× 46 0.4× 118 1.1× 77 0.8× 69 1.4× 38 625
Kazunori Sunadome Japan 9 364 1.2× 85 0.8× 54 0.5× 24 0.3× 26 0.5× 12 552

Countries citing papers authored by Sungho Ghil

Since Specialization
Citations

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

Fields of papers citing papers by Sungho Ghil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungho Ghil

This figure shows the co-authorship network connecting the top 25 collaborators of Sungho Ghil. A scholar is included among the top collaborators of Sungho Ghil 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 Sungho Ghil. Sungho Ghil 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
1.
Ghil, Sungho, et al.. (2023). Crosstalk between cannabinoid receptor 2 and lysophosphatidic acid receptor 5. Biochemical and Biophysical Research Communications. 666. 154–161. 3 indexed citations
2.
Ghil, Sungho, et al.. (2021). Interactions between lysophosphatidylinositol receptor GPR55 and sphingosine-1-phosphate receptor S1P5 in live cells. Biochemical and Biophysical Research Communications. 570. 53–59. 8 indexed citations
3.
Ghil, Sungho, et al.. (2020). Modulation of G-protein-coupled receptor 55-mediated signaling by regulator of G-protein signaling 2. Biochemical and Biophysical Research Communications. 533(4). 1233–1239. 4 indexed citations
4.
Lee, Sangho, et al.. (2017). Necdin modulates osteogenic cell differentiation by regulating Dlx5 and MAGE-D1. Biochemical and Biophysical Research Communications. 489(2). 109–115. 13 indexed citations
5.
6.
Choi, Jung-Mi, Sung‐Soo Kim, Hye Jin Lim, et al.. (2016). Development of the main olfactory system and main olfactory epithelium-dependent male mating behavior are altered in Go-deficient mice. Proceedings of the National Academy of Sciences. 113(39). 10974–10979. 21 indexed citations
7.
Ghil, Sungho, et al.. (2015). Primary cell culture method for the honeybee Apis mellifera. In Vitro Cellular & Developmental Biology - Animal. 51(9). 890–893. 4 indexed citations
8.
Park, In-Ae, et al.. (2014). Cannabinoid receptor activation inhibits cell cycle progression by modulating 14-3-3β. Cellular & Molecular Biology Letters. 19(3). 347–60. 7 indexed citations
9.
Ghil, Sungho, Kelly L. McCoy, & John R. Hepler. (2014). Regulator of G Protein Signaling 2 (RGS2) and RGS4 Form Distinct G Protein-Dependent Complexes with Protease Activated-Receptor 1 (PAR1) in Live Cells. PLoS ONE. 9(4). e95355–e95355. 21 indexed citations
10.
Ghil, Sungho. (2013). Antiproliferative activity of Alpinia officinarum extract in the human breast cancer cell line MCF-7. Molecular Medicine Reports. 7(4). 1288–1292. 24 indexed citations
11.
Ghil, Sungho, et al.. (2011). Role of Cannabinoid on Neuronal Differentiation of P19 Cells. Journal of Experimental & Biomedical Sciences/Biomedical Science Letters. 17(3). 267–271. 1 indexed citations
12.
Kim, Dae‐Woong, et al.. (2010). Fluorescence-based Assay System for Endocannabinoid Degradation Enzyme, Fatty Acid Amide Hydrolase. 대한의생명과학회지. 16(4). 279–285. 1 indexed citations
13.
Kim, Do‐Yeon & Sungho Ghil. (2009). Effect of Lycopus lucidus Trucz on Cell Growth of Human Breast Cancer Cells, MCF-7. 대한의생명과학회지. 15(2). 147–152. 2 indexed citations
14.
Ghil, Sungho, et al.. (2009). Modulation of Rit Activation by the Alpha Subunit of Go. 대한의생명과학회지. 15(4). 327–333.
15.
Lee, Jin Ho, et al.. (2004). The Isolation and Characterization of Muscle Derived Stem Cells from Gastrocnemius Muscle of Rats Using the Modified Preplate Method. Investigative and Clinical Urology. 45(12). 1279–1284. 6 indexed citations
16.
Yuk, Soon Hong, et al.. (2004). Differentiation of Stem Cells Isolated from Rat Smooth Muscle. Molecules and Cells. 17(1). 57–61. 42 indexed citations
17.
Ghil, Sungho, Dong Sun Kim, Sung Hwan Kim, et al.. (2003). Modulation of the N-type calcium channel gene expression by the α subunit of Go. Molecular Brain Research. 112(1-2). 95–102. 3 indexed citations
18.
Kim, So-Yeon, et al.. (2001). Overexpression of BETA2/NeuroD induces neurite outgrowth in F11 neuroblastoma cells. Journal of Neurochemistry. 77(1). 103–109. 30 indexed citations
19.
Cho, Jang‐Hyeon, Soyeon Kim, Sungho Ghil, et al.. (2001). Overexpression of BETA2/NeuroD induces neurite outgrowth in F11 neuroblastoma cells. Journal of Neurochemistry. 77(1). 103–109. 24 indexed citations
20.
Ghil, Sungho, et al.. (2000). Neurite Outgrowth Induced by Cyclic AMP Can Be Modulated by the α Subunit of Go. Journal of Neurochemistry. 74(1). 151–158. 56 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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