Phil‐Ok Koh

3.8k total citations
151 papers, 3.1k citations indexed

About

Phil‐Ok Koh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Phil‐Ok Koh has authored 151 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 50 papers in Cellular and Molecular Neuroscience and 43 papers in Physiology. Recurrent topics in Phil‐Ok Koh's work include Neuroinflammation and Neurodegeneration Mechanisms (30 papers), Neuroscience and Neuropharmacology Research (24 papers) and Biochemical effects in animals (21 papers). Phil‐Ok Koh is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (30 papers), Neuroscience and Neuropharmacology Research (24 papers) and Biochemical effects in animals (21 papers). Phil‐Ok Koh collaborates with scholars based in South Korea, United States and Pakistan. Phil‐Ok Koh's co-authors include Dong-Ju Park, Myeong Ok Kim, Fawad Ali Shah, Ju-Bin Kang, Michael S. Lidow, Chung‐Kil Won, Patricia S. Goldman‐Rakic, Ashiwel S. Undie, Jae‐Hyeon Cho and Nadine Kabbani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Phil‐Ok Koh

145 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phil‐Ok Koh South Korea 32 1.2k 748 630 528 293 151 3.1k
Tahir Ali South Korea 30 1.2k 1.0× 819 1.1× 467 0.7× 1.1k 2.0× 355 1.2× 60 3.5k
Joon Ha Park South Korea 28 845 0.7× 1.2k 1.7× 682 1.1× 492 0.9× 363 1.2× 204 3.1k
Maria‐Grazia Martinoli Canada 33 1.0k 0.8× 478 0.6× 746 1.2× 569 1.1× 210 0.7× 69 3.5k
Ki‐Yeon Yoo South Korea 37 1.5k 1.2× 1.3k 1.8× 1.1k 1.7× 772 1.5× 345 1.2× 244 4.4k
Yeo Sung Yoon South Korea 29 753 0.6× 526 0.7× 526 0.8× 716 1.4× 337 1.2× 173 2.8k
Daniele Tomassoni Italy 33 790 0.6× 647 0.9× 419 0.7× 656 1.2× 106 0.4× 127 3.2k
Hong‐Shuo Sun Canada 38 1.7k 1.3× 606 0.8× 637 1.0× 439 0.8× 161 0.5× 104 3.9k
Ji Hyeon Ahn South Korea 26 700 0.6× 1.0k 1.4× 545 0.9× 405 0.8× 307 1.0× 179 2.6k
Isaac Túnez Spain 37 1.2k 1.0× 509 0.7× 748 1.2× 780 1.5× 148 0.5× 162 4.3k
Carlos‐Alberto Gonçalves Brazil 37 1.6k 1.3× 1.0k 1.4× 701 1.1× 1.1k 2.2× 161 0.5× 147 4.1k

Countries citing papers authored by Phil‐Ok Koh

Since Specialization
Citations

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

Fields of papers citing papers by Phil‐Ok Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phil‐Ok Koh. 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 Phil‐Ok Koh. The network helps show where Phil‐Ok Koh may publish in the future.

Co-authorship network of co-authors of Phil‐Ok Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Phil‐Ok Koh. A scholar is included among the top collaborators of Phil‐Ok Koh 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 Phil‐Ok Koh. Phil‐Ok Koh 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.
Koh, Phil‐Ok, et al.. (2025). Baicalin protects neurons from oxidative stress and apoptosis induced by glutamate excitotoxicity in HT-22 cells. Journal of Veterinary Science. 26(3). e29–e29.
2.
Park, Dong-Ju, et al.. (2025). Baicalin confers neuroprotection in animal models of stroke through its antioxidant and anti-apoptotic effects. Journal of Veterinary Science. 26(4). e37–e37.
3.
Kang, Ju-Bin, et al.. (2024). Modulation of thioredoxin by chlorogenic acid in an ischemic stroke model and glutamate-exposed neurons. Neuroscience Letters. 825. 137701–137701. 3 indexed citations
4.
Park, Dong-Ju, Ju-Bin Kang, & Phil‐Ok Koh. (2024). Epigallocatechin gallate improves neuronal damage in animal model of ischemic stroke and glutamate-exposed neurons via modulation of hippocalcin expression. PLoS ONE. 19(3). e0299042–e0299042. 8 indexed citations
5.
Kang, Ju-Bin, et al.. (2024). Chlorogenic acid regulates the expression of protein phosphatase 2A subunit B in the cerebral cortex of a rat stroke model and glutamate-exposed neurons. SHILAP Revista de lepidopterología. 40(1). 8–8. 8 indexed citations
6.
Alattar, Abdullah, Reem Alshaman, Yusuf S. Althobaiti, et al.. (2023). Quercetin Alleviated Inflammasome-Mediated Pyroptosis and Modulated the mTOR/P70S6/P6/eIF4E/4EBP1 Pathway in Ischemic Stroke. Pharmaceuticals. 16(8). 1182–1182. 12 indexed citations
7.
Koh, Phil‐Ok, et al.. (2023). RETINOIC ACID ATTENUATES ISCHEMIC INJURY-INDUCED ACTIVATION OF GLIAL CELLS AND INFLAMMATORY FACTORS IN A RAT STROKE MODEL. IBRO Neuroscience Reports. 15. S110–S111. 1 indexed citations
8.
Cho, Jae‐Hyeon, et al.. (2022). A case of cataract surgery using phacoemulsification in a 12-year-old poodle. Korean Journal of Veterinary Service. 45(3). 221–228.
9.
Park, Dong-Ju, et al.. (2021). Epigallocatechin Gallate Alleviates Down-Regulation of Thioredoxin in Ischemic Brain Damage and Glutamate-Exposed Neuron. Neurochemical Research. 46(11). 3035–3049. 9 indexed citations
10.
11.
Park, Dong-Ju, Ju-Bin Kang, Fawad Ali Shah, & Phil‐Ok Koh. (2019). Resveratrol modulates the Akt/GSK-3β signaling pathway in a middle cerebral artery occlusion animal model. SHILAP Revista de lepidopterología. 35(1). 18–18. 26 indexed citations
12.
Kang, Ju-Bin, Dong-Ju Park, & Phil‐Ok Koh. (2019). Identification of proteins differentially expressed by glutamate treatment in cerebral cortex of neonatal rats. SHILAP Revista de lepidopterología. 35(1). 24–24. 7 indexed citations
13.
Koh, Phil‐Ok, et al.. (2016). Hyperglycemia decreases expression of 14-3-3 proteins in an animal model of stroke. Neuroscience Letters. 626. 13–18. 4 indexed citations
14.
Koh, Phil‐Ok. (2014). Estradiol ameliorates the reduction in parvalbumin expression induced by ischemic brain injury. Neuroscience Letters. 574. 36–40. 14 indexed citations
15.
Koh, Phil‐Ok. (2012). Melatonin regulates the calcium‐buffering proteins, parvalbumin and hippocalcin, in ischemic brain injury. Journal of Pineal Research. 53(4). 358–365. 45 indexed citations
16.
Koh, Phil‐Ok. (2009). Estradiol Prevents Injury-Induced Reduction of Peroxiredoxin-2 in Brain Ischemia Models. Laboratory Animal Research. 25(4). 407–411. 1 indexed citations
17.
Koh, Phil‐Ok. (2007). Streptozotocin-Induced Diabetes Increases Apoptosis through JNK Phosphorylation and Bax Activation in Rat Testes. Journal of Veterinary Medical Science. 69(9). 969–971. 51 indexed citations
18.
19.
Won, Chung‐Kil, Hae Sook Noh, Sang Soo Kang, et al.. (2005). Estradiol prevents the injury-induced decrease of Akt activation and Bad phosphorylation. Neuroscience Letters. 387(2). 115–119. 26 indexed citations
20.
Yang, Jehoon, et al.. (2002). Study on Morphological Changes and TUNEL Reaction of Apoptotic Cells in Mouse Liver by Apoptosis Induction. 대한의생명과학회지. 8(3). 179–184. 1 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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