Seung-Yeol Nah

5.6k total citations · 1 hit paper
170 papers, 4.6k citations indexed

About

Seung-Yeol Nah is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Seung-Yeol Nah has authored 170 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Molecular Biology, 43 papers in Cellular and Molecular Neuroscience and 24 papers in Pharmacology. Recurrent topics in Seung-Yeol Nah's work include Ginseng Biological Effects and Applications (78 papers), Neuroscience and Neuropharmacology Research (38 papers) and Ion channel regulation and function (24 papers). Seung-Yeol Nah is often cited by papers focused on Ginseng Biological Effects and Applications (78 papers), Neuroscience and Neuropharmacology Research (38 papers) and Ion channel regulation and function (24 papers). Seung-Yeol Nah collaborates with scholars based in South Korea, United States and Japan. Seung-Yeol Nah's co-authors include Hyoung‐Chun Kim, Hyewhon Rhim, Eun‐Joo Shin, Sun-Hye Choi, Ji Hoon Jeong, Toshitaka Nabeshima, Choon‐Gon Jang, Jun‐Ho Lee, Byung Joo Kim and Insuk So and has published in prestigious journals such as Science, Journal of Biological Chemistry and Brain Research.

In The Last Decade

Seung-Yeol Nah

167 papers receiving 4.5k citations

Hit Papers

Characteristics of Ginton... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung-Yeol Nah South Korea 38 2.9k 841 739 633 551 170 4.6k
Hyewhon Rhim South Korea 44 3.5k 1.2× 1.6k 2.0× 565 0.8× 903 1.4× 786 1.4× 197 5.8k
Ki‐Wan Oh South Korea 36 1.5k 0.5× 506 0.6× 482 0.7× 712 1.1× 810 1.5× 126 3.8k
Hong‐Won Suh South Korea 35 1.9k 0.7× 1.1k 1.3× 558 0.8× 1.5k 2.4× 532 1.0× 214 4.5k
Seung‐Yeol Nah South Korea 35 2.4k 0.8× 653 0.8× 637 0.9× 370 0.6× 533 1.0× 136 3.5k
Ik‐Hyun Cho South Korea 35 1.6k 0.5× 635 0.8× 457 0.6× 777 1.2× 336 0.6× 110 3.7k
Eun‐Joo Shin South Korea 37 1.8k 0.6× 1.4k 1.6× 263 0.4× 687 1.1× 557 1.0× 152 4.5k
Chihiro Tohda Japan 36 1.5k 0.5× 594 0.7× 437 0.6× 914 1.4× 659 1.2× 121 4.1k
Mohammad Moshahid Khan United States 39 1.7k 0.6× 543 0.6× 320 0.4× 997 1.6× 536 1.0× 92 4.7k
Seung‐Hwan Kwon South Korea 31 1.3k 0.4× 606 0.7× 216 0.3× 861 1.4× 405 0.7× 62 3.6k
Shyam Sunder Sharma India 35 1.5k 0.5× 551 0.7× 230 0.3× 1.3k 2.1× 305 0.6× 141 4.4k

Countries citing papers authored by Seung-Yeol Nah

Since Specialization
Citations

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

Fields of papers citing papers by Seung-Yeol Nah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-Yeol Nah. 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 Seung-Yeol Nah. The network helps show where Seung-Yeol Nah may publish in the future.

Co-authorship network of co-authors of Seung-Yeol Nah

This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Yeol Nah. A scholar is included among the top collaborators of Seung-Yeol Nah 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 Seung-Yeol Nah. Seung-Yeol Nah 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
2.
Hwang, Sung‐Hee, et al.. (2025). Korean Red Ginseng Marc-Derived Gintonin Improves Alzheimer’s Cognitive Dysfunction by Upregulating LPAR1. The American Journal of Chinese Medicine. 53(1). 17–41. 1 indexed citations
3.
Won, Kyung‐Jong, et al.. (2024). Gintonin Stimulates Glucose Uptake in Myocytes: Involvement of Calcium and Extracellular Signal-Regulated Kinase Signaling. Biomolecules. 14(10). 1316–1316. 1 indexed citations
4.
Kim, Sung Jin, et al.. (2023). Gintonin Isolated from Ginseng Inhibits the Epithelial—Mesenchymal Transition Induced by TGF-β in A549 Lung Cancer Cells. Plants. 12(10). 2013–2013. 6 indexed citations
5.
Hwang, Hongik, Hyewhon Rhim, Sung‐Hee Hwang, et al.. (2023). Preparation of Red Ginseng Marc-Derived Gintonin and Its Application as a Skin Nutrient. Nutrients. 15(11). 2574–2574. 7 indexed citations
6.
Shin, Eun‐Joo, Bao Trong Nguyen, Naveen Sharma, et al.. (2023). Ginsenoside Re mitigates memory impairments in aged GPx-1 KO mice by inhibiting the interplay between PAFR, NFκB, and microgliosis in the hippocampus. Food and Chemical Toxicology. 173. 113627–113627. 7 indexed citations
7.
Shin, Eun‐Joo, Ji Hoon Jeong, Naveen Sharma, et al.. (2022). Ginsenoside Re attenuates 8-OH-DPAT-induced serotonergic behaviors in mice via interactive modulation between PKCδ gene and Nrf2. Drug and Chemical Toxicology. 46(2). 281–296. 1 indexed citations
8.
Choi, Sun-Hye, Sung Min Nam, Do-Geun Kim, et al.. (2020). Ginseng gintonin, aging societies, and geriatric brain diseases. Integrative Medicine Research. 10(1). 100450–100450. 38 indexed citations
10.
Tran, Hai‐Quyen, Eun‐Joo Shin, Ji Hoon Jeong, et al.. (2019). Methiopropamine, a methamphetamine analogue, produces neurotoxicity via dopamine receptors. Chemico-Biological Interactions. 305. 134–147. 15 indexed citations
11.
Sharma, Naveen, Ji Hoon Jeong, Eun‐Joo Shin, et al.. (2018). P53 knockout mice are protected from cocaine-induced kindling behaviors via inhibiting mitochondrial oxidative burdens, mitochondrial dysfunction, and proapoptotic changes. Neurochemistry International. 124. 68–81. 12 indexed citations
12.
13.
Shin, Eun‐Joo, Naveen Sharma, Hai‐Quyen Tran, et al.. (2018). Role of protein kinase Cδ in dopaminergic neurotoxic events. Food and Chemical Toxicology. 121. 254–261. 17 indexed citations
14.
Nguyen, Bao Trong, Naveen Sharma, Eun‐Joo Shin, et al.. (2018). Theanine attenuates memory impairments induced by klotho gene depletion in mice. Food & Function. 10(1). 325–332. 15 indexed citations
15.
Tran, Hai‐Quyen, Eun‐Joo Shin, Choon‐Gon Jang, et al.. (2018). 5-HT1A receptor agonist 8-OH-DPAT induces serotonergic behaviors in mice via interaction between PKCδ and p47phox. Food and Chemical Toxicology. 123. 125–141. 11 indexed citations
17.
Jung, Seokwon, Hyeon‐Joong Kim, Byung-Hwan Lee, et al.. (2015). Effects of Korean Red Ginseng extract on busulfan-induced dysfunction of the male reproductive system. Journal of Ginseng Research. 39(3). 243–249. 42 indexed citations
18.
Back, Seung Keun, Hwa Jung Kim, Hyewhon Rhim, et al.. (2012). HYP-1, a novel diamide compound, relieves inflammatory and neuropathic pain in rats. Pharmacology Biochemistry and Behavior. 103(1). 33–42. 2 indexed citations
19.
Lee, Byunghwan, Sun-Hye Choi, Mi Kyung Pyo, et al.. (2009). A Role for Leu247 Residue within Transmembrane Domain 2 in Ginsenoside-Mediated α7 Nicotinic Acetylcholine Receptor Regulation. Molecules and Cells. 27(5). 591–600. 7 indexed citations
20.
Sala, F., José Mulet, Seok‐Yong Choi, et al.. (2002). Effects of Ginsenoside Rg2 on Human Neuronal Nicotinic Acetylcholine Receptors. Journal of Pharmacology and Experimental Therapeutics. 301(3). 1052–1059. 70 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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