Jae Yang Kong

559 total citations
35 papers, 465 citations indexed

About

Jae Yang Kong is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jae Yang Kong has authored 35 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Organic Chemistry and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jae Yang Kong's work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (4 papers) and Synthesis and biological activity (3 papers). Jae Yang Kong is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (4 papers) and Synthesis and biological activity (3 papers). Jae Yang Kong collaborates with scholars based in South Korea, United States and India. Jae Yang Kong's co-authors include Woo‐Kyu Park, Åsa Thureson‐Klein, Richard L. Klein, Heeyeong Cho, Ae Nim Pae, Seong Jin Lee, Chong‐Kook Kim, Gyu Hwan Yon, Hun Yeong Koh and Yeon Hee Choi and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Pharmaceutics.

In The Last Decade

Jae Yang Kong

35 papers receiving 447 citations

Peers

Jae Yang Kong

CMN

PHARM

PHYSI

Milena Rizzo Italy

José A. Fontenla Spain

C. DUFRESNE United States

Árpád Könczöl Hungary

Bo Ko Jang South Korea

Wen‐Lian Wu United States

Mariangela Urbano United States

Nobuko Nishimura United States

Dagmara Wróbel‐Biedrawa Poland

Janice C. Parker United States

Milena Rizzo Italy

Jae Yang Kong

196 ×0.8

151 ×1.3

173 ×2.0

CMN

45 ×0.6

PHARM

29 ×0.6

PHYSI

Citations per year, relative to Jae Yang Kong Jae Yang Kong (= 1×) peers Milena Rizzo

Countries citing papers authored by Jae Yang Kong

Since Specialization

Citations

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

Fields of papers citing papers by Jae Yang Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Yang Kong. 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 Jae Yang Kong. The network helps show where Jae Yang Kong may publish in the future.

Co-authorship network of co-authors of Jae Yang Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Yang Kong. A scholar is included among the top collaborators of Jae Yang Kong 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 Jae Yang Kong. Jae Yang Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Sang Hyun, Young Soo Kim, Hye Yun Kim, et al.. (2014). Aminostyrylbenzofuran Directly Reduces Oligomeric Amyloid-β and Reverses Cognitive Deficits in Alzheimer Transgenic Mice. PLoS ONE. 9(4). e95733–e95733. 10 indexed citations

Chung, Hye Jin, Majid Rasool Kamli, Hyo‐Jeong Lee, et al.. (2014). Discovery of quinolinone derivatives as potent FLT3 inhibitors. Biochemical and Biophysical Research Communications. 445(3). 561–565. 12 indexed citations

Lee, Seong Jin, Tae-Hoon Jung, Ho‐Jeong Kim, et al.. (2013). Inhibition of c-Kit signaling by diosmetin isolated from Chrysanthemum morifolium. Archives of Pharmacal Research. 37(2). 175–185. 27 indexed citations

Kim, Hyunjin Vincent, et al.. (2013). Therapeutic and pharmacokinetic characterizations of an anti-amyloidogenic bis-styrylbenzene derivative for Alzheimer’s disease treatment. Bioorganic & Medicinal Chemistry Letters. 23(11). 3467–3469. 3 indexed citations

Chin, Young‐Won, Jae Yang Kong, & Sun‐Young Han. (2013). Flavonoids as receptor tyrosine kinase FLT3 inhibitors. Bioorganic & Medicinal Chemistry Letters. 23(6). 1768–1770. 20 indexed citations

Lee, Seong Jin, Jiyeong Lee, Chang‐Seon Myung, et al.. (2011). Sphingosylphosphorylcholine Attenuated β–Amyloid Production by Reducing BACE1 Expression and Catalysis in PC12 Cells. Neurochemical Research. 36(11). 2083–2090. 9 indexed citations

Yoo, Euna, Ae Nim Pae, Hyewhon Rhim, et al.. (2010). Synthesis and biological evaluation of (phenylpiperazinyl-propyl)arylsulfonamides as selective 5-HT2A receptor antagonists. Bioorganic & Medicinal Chemistry. 18(4). 1665–1675. 8 indexed citations

Park, Youmie, Jae Yang Kong, & Heeyeong Cho. (2009). A furanquinone from Paulownia tomentosa stem for a new cathepsin K inhibitor. Phytotherapy Research. 23(10). 1485–1488. 8 indexed citations

Choi, Yeon Hee, Gyu Hwan Yon, Kyung Sik Hong, et al.. (2008). In vitroBACE-1 Inhibitory Phenolic Components from the Seeds ofPsoralea corylifolia. Planta Medica. 74(11). 1405–1408. 72 indexed citations

10.

Seong, Churl Min, et al.. (2007). Discovery of 3-aryl-3-methyl-1H-quinoline-2,4-diones as a new class of selective 5-HT6 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 18(2). 738–743. 34 indexed citations

11.

Kim, Hye Jung, Yong Seo Cho, Hun Yeong Koh, et al.. (2005). Classification of dopamine antagonists using functional feature hypothesis and topological descriptors. Bioorganic & Medicinal Chemistry. 14(5). 1454–1461. 7 indexed citations

12.

Park, Woo‐Kyu, Heeyeong Cho, Seong Jin Lee, et al.. (2005). KKHA-761, a potent D3 receptor antagonist with high 5-HT1A receptor affinity, exhibits antipsychotic properties in animal models of schizophrenia. Pharmacology Biochemistry and Behavior. 82(2). 361–372. 35 indexed citations

13.

Kim, Gun‐Do, Woo‐Kyu Park, Heeyeong Cho, et al.. (2005). Development of a time-resolved fluorometric assay for the high throughput screening of melanin concentrating hormone receptor antagonists. Journal of Pharmacological and Toxicological Methods. 53(3). 242–247. 14 indexed citations

14.

Lee, Jihoon, Yong Koo Kang, Kyung Ho Yoo, et al.. (2003). Synthesis and biological activity of novel 1β-Methylcarbapenems with oxyiminopyrrolidinylamide moiety. Bioorganic & Medicinal Chemistry Letters. 13(24). 4399–4403. 4 indexed citations

15.

Park, Seung‐Yong, et al.. (2000). Establishment of a high-throughput screening system for caspase-3 inhibitors. Archives of Pharmacal Research. 23(3). 246–251. 5 indexed citations

16.

Kong, Jae Yang, et al.. (2000). Synthesis of 5-(4-Alkoxy-[1,2,5]thiadiazol-3-yl)-3-methyl-1,2,3,4- tetrahydropyrimidine Oxalate Salts and Their Evaluation as Muscarinic Receptor Agonists. Archiv der Pharmazie. 333(5). 113–117. 4 indexed citations

17.

Chung, Yong Jun, et al.. (1997). 4-Substituted-kynurenic acid derivatives: A novel class of NMDA receptor glycine site antagonists. Archives of Pharmacal Research. 20(4). 351–357. 1 indexed citations

18.

Kong, Jae Yang, et al.. (1995). The Effect of Ruthenium Red on the Capsaicin-Induced Antinociception in vivo. Biomolecules & Therapeutics. 3(1). 54–57. 1 indexed citations

19.

Kong, Jae Yang, et al.. (1995). Rat Liver $AT_1$ Receptor Binding Analysis for Drug Screening. Biomolecules & Therapeutics. 3(1). 21–27. 1 indexed citations

20.

Kong, Jae Yang, et al.. (1995). Ciprofloxacin resistance by altered gyrase and drug efflux system inPseudomonas aeruginosa. Archives of Pharmacal Research. 18(3). 173–178. 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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