Yoon Ki Hong

494 total citations
19 papers, 414 citations indexed

About

Yoon Ki Hong is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Yoon Ki Hong has authored 19 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Pharmacology and 7 papers in Physiology. Recurrent topics in Yoon Ki Hong's work include Cholinesterase and Neurodegenerative Diseases (8 papers), Alzheimer's disease research and treatments (6 papers) and Signaling Pathways in Disease (4 papers). Yoon Ki Hong is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (8 papers), Alzheimer's disease research and treatments (6 papers) and Signaling Pathways in Disease (4 papers). Yoon Ki Hong collaborates with scholars based in South Korea, United States and Czechia. Yoon Ki Hong's co-authors include Kyoung Sang Cho, Soojin Hwang, Seung Yeop Han, Jang Ho Lee, Soojin Lee, Songhee Jeon, Darae Kim, Byung‐Soo Koo, Im‐Soon Lee and Soojin Lee and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and PLoS Genetics.

In The Last Decade

Yoon Ki Hong

19 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon Ki Hong South Korea 12 169 120 120 71 68 19 414
Ravikumar Hosamani India 10 115 0.7× 118 1.0× 124 1.0× 149 2.1× 74 1.1× 22 536
Mohammad Haddadi Iran 10 102 0.6× 71 0.6× 65 0.5× 39 0.5× 86 1.3× 32 344
Agnesa Avanesian United States 7 151 0.9× 102 0.8× 86 0.7× 20 0.3× 70 1.0× 11 403
Nicole Steiner Australia 7 157 0.9× 86 0.7× 142 1.2× 48 0.7× 39 0.6× 15 422
Mitali A. Tambe United States 9 251 1.5× 27 0.2× 103 0.9× 58 0.8× 84 1.2× 18 552
Manisha Mishra Singapore 10 244 1.4× 79 0.7× 121 1.0× 60 0.8× 62 0.9× 24 457
Aliabbas Zia Iran 6 189 1.1× 39 0.3× 134 1.1× 25 0.4× 34 0.5× 11 466
Sandeep Malampati Hong Kong 14 182 1.1× 135 1.1× 241 2.0× 81 1.1× 43 0.6× 18 573
Cui-Zan Cai Macao 16 270 1.6× 155 1.3× 156 1.3× 50 0.7× 71 1.0× 17 712

Countries citing papers authored by Yoon Ki Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Ki Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon Ki Hong. 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 Yoon Ki Hong. The network helps show where Yoon Ki Hong may publish in the future.

Co-authorship network of co-authors of Yoon Ki Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon Ki Hong. A scholar is included among the top collaborators of Yoon Ki Hong 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 Yoon Ki Hong. Yoon Ki Hong 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.
Lee, Jae Seung, Yoon Ki Hong, Tae Sun Park, et al.. (2016). Efficacy and Safety of Roflumilast in Korean Patients with COPD. Yonsei Medical Journal. 57(4). 928–928. 8 indexed citations
2.
Lee, Soojin, Yoon Ki Hong, Jang Ho Lee, et al.. (2016). Effects of sarah/nebula knockdown on Aβ42-induced phenotypes during Drosophila development. Genes & Genomics. 38(5). 479–487. 2 indexed citations
3.
Lee, Hong‐Gu, et al.. (2016). Inhibition of Melanogenesis by Abietatriene fromVitex TrifoliaLeaf Oil. Natural Product Sciences. 22(4). 252–252. 8 indexed citations
4.
Liu, Quan Feng, Jang Ho Lee, Yoon Ki Hong, et al.. (2016). Coriandrum sativumSuppresses Aβ42-Induced ROS Increases, Glial Cell Proliferation, and ERK Activation. The American Journal of Chinese Medicine. 44(7). 1325–1347. 29 indexed citations
5.
Lee, Soojin, Yoon Ki Hong, Jang Ho Lee, et al.. (2015). The calcineurin inhibitor, Sarah/Nebula, exacerbates Aβ42 phenotypes in aDrosophilamodel of Alzheimer's disease. Disease Models & Mechanisms. 9(3). 295–306. 23 indexed citations
6.
Liu, Quan Feng, Jang Ho Lee, Young‐Mi Kim, et al.. (2015). <i>In Vivo</i> Screening of Traditional Medicinal Plants for Neuroprotective Activity against Aβ42 Cytotoxicity by Using <i>Drosophila</i> Models of Alzheimer’s Disease. Biological and Pharmaceutical Bulletin. 38(12). 1891–1901. 46 indexed citations
7.
Hong, Yoon Ki, Dahye Lee, Soojin Hwang, et al.. (2014). The role of serine 190 in FOXO nuclear export and cell death induction in Drosophila melanogaster. Genes & Genomics. 36(4). 475–483. 1 indexed citations
8.
Hwang, Soojin, Saera Song, Yoon Ki Hong, et al.. (2013). Drosophila DJ-1 Decreases Neural Sensitivity to Stress by Negatively Regulating Daxx-Like Protein through dFOXO. PLoS Genetics. 9(4). e1003412–e1003412. 56 indexed citations
9.
Hong, Yoon Ki, Soojin Lee, Jang Ho Lee, et al.. (2012). Inhibition of JNK/dFOXO pathway and caspases rescues neurological impairments in Drosophila Alzheimer’s disease model. Biochemical and Biophysical Research Communications. 419(1). 49–53. 52 indexed citations
10.
Han, Seung Yeop, Minjung Lee, Yoon Ki Hong, et al.. (2012). Tsp66E, the Drosophila KAI1 homologue, and Tsp74F function to regulate ovarian follicle cell and wing development by stabilizing integrin localization. FEBS Letters. 586(22). 4031–4037. 8 indexed citations
11.
12.
Hong, Yoon Ki, Soojin Lee, Soojin Hwang, et al.. (2011). Neuroprotective effect of SuHeXiang Wan in Drosophila models of Alzheimer's disease. Journal of Ethnopharmacology. 134(3). 1028–1032. 44 indexed citations
13.
Lee, Min Jung, Yoon Ki Hong, Soojin Hwang, et al.. (2011). The Effects of Hempseed Meal Intake and Linoleic Acid on Drosophila Models of Neurodegenerative Diseases and Hypercholesterolemia. Molecules and Cells. 31(4). 337–342. 35 indexed citations
14.
Hwang, Soojin, et al.. (2010). Parkin Suppresses c-Jun N-terminal kinase-induced cell death via transriptional regulation in Drosophila. Molecules and Cells. 29(6). 575–580. 30 indexed citations
15.
Lee, Min Jung, Min Soo Park, Soojin Hwang, et al.. (2010). Dietary Hempseed Meal Intake Increases Body Growth and Shortens the Larval Stage via the Upregulation of Cell Growth and Sterol Levels in Drosophila melanogaster. Molecules and Cells. 30(1). 29–36. 15 indexed citations
16.
Hwang, Soojin, et al.. (2010). Interference in xbp1 gene expression induces defective cell differentiation and sensory organ development in Drosophila. Genes & Genomics. 32(3). 233–238. 1 indexed citations
17.
Hong, Yoon Ki, Min Jung Lee, Min Soo Park, et al.. (2009). dXNP/DATRX increases apoptosis via the JNK and dFOXO pathway in Drosophila neurons. Biochemical and Biophysical Research Communications. 384(2). 160–166. 14 indexed citations
18.
Hong, Yoon Ki, et al.. (2008). Clinical characteristics of patients with an implantable cardioverter-defibrillator: Our experience at Asan Medical Center. The Korean Journal of Internal Medicine. 74(1). 68–74. 1 indexed citations
19.
Hong, Yoon Ki, et al.. (2007). dXNP, a Drosophila homolog of XNP/ATRX, induces apoptosis via Jun‐N‐terminal kinase activation. FEBS Letters. 581(14). 2625–2632. 19 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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