Yeo Sung Yoon

3.3k total citations
173 papers, 2.8k citations indexed

About

Yeo Sung Yoon is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology. According to data from OpenAlex, Yeo Sung Yoon has authored 173 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cellular and Molecular Neuroscience, 53 papers in Developmental Neuroscience and 51 papers in Neurology. Recurrent topics in Yeo Sung Yoon's work include Neurogenesis and neuroplasticity mechanisms (50 papers), Neuroinflammation and Neurodegeneration Mechanisms (45 papers) and Neuroscience and Neuropharmacology Research (29 papers). Yeo Sung Yoon is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (50 papers), Neuroinflammation and Neurodegeneration Mechanisms (45 papers) and Neuroscience and Neuropharmacology Research (29 papers). Yeo Sung Yoon collaborates with scholars based in South Korea, United States and Puerto Rico. Yeo Sung Yoon's co-authors include In Koo Hwang, Dae Young Yoo, Jung Hoon Choi, Je Kyung Seong, Moo‐Ho Won, Woosuk Kim, Sung Min Nam, Hyo Young Jung, Dae Won Kim and Jong Whi Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

Yeo Sung Yoon

169 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeo Sung Yoon South Korea 29 753 716 526 526 473 173 2.8k
Dae Young Yoo South Korea 26 677 0.9× 499 0.7× 434 0.8× 412 0.8× 366 0.8× 118 2.1k
Ionara Rodrigues Siqueira Brazil 32 791 1.1× 674 0.9× 361 0.7× 432 0.8× 249 0.5× 94 2.9k
Joon Ha Park South Korea 28 845 1.1× 492 0.7× 682 1.3× 1.2k 2.3× 512 1.1× 204 3.1k
Osamu Shido Japan 32 983 1.3× 1.7k 2.3× 471 0.9× 414 0.8× 243 0.5× 161 4.3k
Ji Hyeon Ahn South Korea 26 700 0.9× 405 0.6× 545 1.0× 1.0k 1.9× 408 0.9× 179 2.6k
Phil‐Ok Koh South Korea 32 1.2k 1.6× 528 0.7× 630 1.2× 748 1.4× 145 0.3× 151 3.1k
Chun‐Xia Luo China 29 958 1.3× 691 1.0× 1.0k 2.0× 717 1.4× 376 0.8× 64 3.4k
Osamu Nakagawasai Japan 31 1.1k 1.4× 704 1.0× 947 1.8× 415 0.8× 269 0.6× 133 3.0k
Tae Gen Son South Korea 29 1.1k 1.5× 1.1k 1.6× 310 0.6× 298 0.6× 286 0.6× 51 3.3k
Minho Moon South Korea 38 1.3k 1.8× 1.6k 2.2× 855 1.6× 769 1.5× 384 0.8× 111 4.0k

Countries citing papers authored by Yeo Sung Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Yeo Sung Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeo Sung Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Yeo Sung Yoon. A scholar is included among the top collaborators of Yeo Sung Yoon 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 Yeo Sung Yoon. Yeo Sung Yoon 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.
Kim, Min Woo, Ju-Hee Kang, Hoon Choi, et al.. (2024). Loss of Ninjurin1 alleviates acetaminophen-induced liver injury via enhancing AMPKα-NRF2 pathway. Life Sciences. 350. 122782–122782.
4.
Kim, Woosuk, Hyun Jung Kwon, Hyo Young Jung, et al.. (2022). Neuroprotective Effects of Purpurin Against Ischemic Damage via MAPKs, Bax, and Oxidative Stress Cascades in the Gerbil Hippocampus. Molecular Neurobiology. 59(4). 2580–2592. 14 indexed citations
5.
Kim, Jong Whi, Dae Young Yoo, Hyo Young Jung, et al.. (2019). Methionine-Choline Deprivation Impairs Adult Hippocampal Neurogenesis in C57BL/6 Mice. Journal of Medicinal Food. 22(4). 344–354. 8 indexed citations
6.
Choi, Seungho, Hyun Jin Jung, Min Woo Kim, et al.. (2019). A novel STAT3 inhibitor, STX-0119, attenuates liver fibrosis by inactivating hepatic stellate cells in mice. Biochemical and Biophysical Research Communications. 513(1). 49–55. 22 indexed citations
7.
Kim, Jong Whi, Woosuk Kim, Hyo Young Jung, et al.. (2019). Adult Hippocampal Neurogenesis Can Be Enhanced by Cold Challenge Independently From Beigeing Effects. Frontiers in Neuroscience. 13. 92–92. 3 indexed citations
8.
Kwon, Hyun Jung, Woosuk Kim, Jong Whi Kim, et al.. (2018). Changes of myelin basic protein in the hippocampus of an animal model of type 2 diabetes. SHILAP Revista de lepidopterología. 34(4). 176–176. 11 indexed citations
9.
Woo, Jong Kyu, Ju‐Hee Kang, Je Kyung Seong, et al.. (2017). Lectin, Galactoside-Binding Soluble 3 Binding Protein Promotes 17-N-Allylamino-17-demethoxygeldanamycin Resistance through PI3K/Akt Pathway in Lung Cancer Cell Line. Molecular Cancer Therapeutics. 16(7). 1355–1365. 17 indexed citations
10.
Nam, Sung Min, Yo Na Kim, Jong Whi Kim, et al.. (2015). Hairy and Enhancer of Split 6 (Hes6) Deficiency in Mouse Impairs Neuroblast Differentiation in Dentate Gyrus Without Affecting Cell Proliferation and Integration into Mature Neurons. Cellular and Molecular Neurobiology. 36(1). 57–67. 8 indexed citations
11.
Jung, Hyo Young, Dae Young Yoo, Sung Min Nam, et al.. (2015). Valerenic Acid Protects Against Physical and Psychological Stress by Reducing the Turnover of Serotonin and Norepinephrine in Mouse Hippocampus-Amygdala Region. Journal of Medicinal Food. 18(12). 1333–1339. 17 indexed citations
12.
Yoo, Dae Young, Hyo Young Jung, Sung Min Nam, et al.. (2015). Valeriana officinalis Extracts Ameliorate Neuronal Damage by Suppressing Lipid Peroxidation in the Gerbil Hippocampus Following Transient Cerebral Ischemia. Journal of Medicinal Food. 18(6). 642–647. 19 indexed citations
15.
Choi, Jung Hoon, Dae Won Kim, Dae Young Yoo, et al.. (2013). Repeated Administration of PEP-1-Cu,Zn-Superoxide Dismutase and PEP-1-Peroxiredoxin-2 to Senescent Mice Induced by d-galactose Improves the Hippocampal Functions. Neurochemical Research. 38(10). 2046–2055. 12 indexed citations
16.
Yoo, Dae Young, Jung Hoon Choi, Woosuk Kim, et al.. (2010). Effects of Melissa officinalis L. (Lemon Balm) Extract on Neurogenesis Associated with Serum Corticosterone and GABA in the Mouse Dentate Gyrus. Neurochemical Research. 36(2). 250–257. 36 indexed citations
17.
Yi, Sun Shin, In Koo Hwang, Ji Won Choi, et al.. (2010). Effects of hypothyroidism on cell proliferation and neuroblasts in the hippocampal dentate gyrus in a rat model of type 2 diabetes. Anatomy & Cell Biology. 43(3). 185–185. 9 indexed citations
18.
Yi, Sun Shin, In Koo Hwang, Dae Won Kim, et al.. (2010). The Chronological Characteristics of SOD1 Activity and Inflammatory Response in the Hippocampi of STZ-Induced Type 1 Diabetic Rats. Neurochemical Research. 36(1). 117–128. 24 indexed citations
19.
Yi, Sun Shin, Il Yong Kim, Ji Won Choi, et al.. (2009). Changes in Calcium-binding Proteins in the Rat Hippocampus after Involuntary Treadmill Exercise. 42(1). 238–238. 1 indexed citations
20.
Seong, Je Kyung, et al.. (1997). Spontaneously pancreatic changes in diabetic WBN/Kob rats. KRIBB Repository. 13(2). 203–210.

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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