Dong‐Keun Song

4.4k total citations
116 papers, 3.7k citations indexed

About

Dong‐Keun Song is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Dong‐Keun Song has authored 116 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 31 papers in Physiology and 28 papers in Immunology. Recurrent topics in Dong‐Keun Song's work include Pain Mechanisms and Treatments (19 papers), Neuroscience and Neuropharmacology Research (16 papers) and Neuropeptides and Animal Physiology (13 papers). Dong‐Keun Song is often cited by papers focused on Pain Mechanisms and Treatments (19 papers), Neuroscience and Neuropharmacology Research (16 papers) and Neuropeptides and Animal Physiology (13 papers). Dong‐Keun Song collaborates with scholars based in South Korea, United States and China. Dong‐Keun Song's co-authors include Hong‐Won Suh, Jun‐Sub Jung, Ji-Jing Yan, Yung‐Hi Kim, Hee‐Sung Kim, Sung‐Oh Huh, Yoo-Sun Moon, Jae‐Young Cho, Do‐Hoon Kim and Chang-Won Hong and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Dong‐Keun Song

112 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong‐Keun Song South Korea 33 1.5k 826 559 457 414 116 3.7k
Kai‐Li Liu China 39 1.9k 1.3× 533 0.6× 470 0.8× 331 0.7× 246 0.6× 196 4.6k
Irene Paterniti Italy 44 1.9k 1.2× 733 0.9× 624 1.1× 396 0.9× 477 1.2× 191 5.1k
Marta Menegazzi Italy 37 1.4k 0.9× 475 0.6× 536 1.0× 344 0.8× 201 0.5× 104 3.6k
George Hsiao Taiwan 40 1.6k 1.0× 576 0.7× 444 0.8× 239 0.5× 193 0.5× 150 4.5k
Xiaojun Wu China 38 1.9k 1.3× 445 0.5× 526 0.9× 340 0.7× 219 0.5× 160 4.3k
Mohammad Moshahid Khan United States 39 1.7k 1.1× 997 1.2× 372 0.7× 272 0.6× 543 1.3× 92 4.7k
Madhu Dikshit India 39 1.5k 1.0× 1.2k 1.5× 1.6k 2.9× 418 0.9× 359 0.9× 192 5.1k
Zhi‐Xiu Lin Hong Kong 40 2.0k 1.3× 591 0.7× 267 0.5× 253 0.6× 293 0.7× 150 4.1k
Dan Zhang China 40 2.5k 1.6× 863 1.0× 561 1.0× 370 0.8× 534 1.3× 201 5.6k

Countries citing papers authored by Dong‐Keun Song

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Keun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Keun Song. 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 Dong‐Keun Song. The network helps show where Dong‐Keun Song may publish in the future.

Co-authorship network of co-authors of Dong‐Keun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Keun Song. A scholar is included among the top collaborators of Dong‐Keun Song 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 Dong‐Keun Song. Dong‐Keun Song 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.
Song, Dong‐Keun, et al.. (2025). Highly efficient synthesis of furan-2-ylmethylboranes by a copper-catalyzed three-component cascade strategy. New Journal of Chemistry. 49(8). 3006–3009.
2.
Shin, Chang-Ho, et al.. (2024). Vibrotactile stimulation at 40 Hz inhibits Aβ-induced changes in SH-SY5Y, BV2 cells, and pericytes. Brain Research Bulletin. 220. 111138–111138.
3.
Kumar, Ashish, et al.. (2023). Protective Effects of AR1001 in Alzheimer’s Disease Models: Polypharmacological Mechanisms. Alzheimer s & Dementia. 19(S24). e082892–e082892. 2 indexed citations
4.
Kim, Sun-Hwa, Dong‐Keun Song, Minsang Shin, et al.. (2021). Extracellular vesicles from dHL-60 cells as delivery vehicles for diverse therapeutics. Scientific Reports. 11(1). 8289–8289. 11 indexed citations
5.
Lee, Hyo-Ji, Jae-Hee Ahn, Hyun‐Jeong Ko, et al.. (2020). Lysophosphatidylcholine Enhances Bactericidal Activity by Promoting Phagosome Maturation via the Activation of the NF-κB Pathway during Salmonella Infection in Mouse Macrophages. Molecules and Cells. 43(12). 989–1001. 15 indexed citations
6.
Lee, Jae Jun, Do-Young Kim, Jung-Taek Hwang, et al.. (2020). Dexmedetomidine combined with suprascapular nerve block and axillary nerve block has a synergistic effect on relieving postoperative pain after arthroscopic rotator cuff repair. Knee Surgery Sports Traumatology Arthroscopy. 29(12). 4022–4031. 20 indexed citations
7.
Li, Hongmei, Jun‐Sub Jung, Ju‐Suk Nam, et al.. (2018). G2A Protects Mice against Sepsis by Modulating Kupffer Cell Activation: Cooperativity with Adenosine Receptor 2b. The Journal of Immunology. 202(2). 527–538. 6 indexed citations
8.
Park, So Young, Sanjeeb Shrestha, Hyun Jung Kim, et al.. (2017). Autophagy Primes Neutrophils for Neutrophil Extracellular Trap Formation during Sepsis. American Journal of Respiratory and Critical Care Medicine. 196(5). 577–589. 128 indexed citations
9.
Choi, Yong Won, et al.. (2017). TRPV3 Channel in Keratinocytes in Scars with Post-Burn Pruritus. International Journal of Molecular Sciences. 18(11). 2425–2425. 36 indexed citations
10.
Jung, Jun‐Sub, Ji-Jing Yan, Hongmei Li, et al.. (2016). Protective effects of a dimeric derivative of ferulic acid in animal models of Alzheimer's disease. European Journal of Pharmacology. 782. 30–34. 26 indexed citations
11.
Sharma, Ashish Ranjan, Chiranjib Chakraborty, Sang‐Soo Lee, et al.. (2014). Computational Biophysical, Biochemical, and Evolutionary Signature of Human R-Spondin Family Proteins, the Member of Canonical Wnt/β-Catenin Signaling Pathway. BioMed Research International. 2014. 1–22. 8 indexed citations
12.
Sharma, Ashish Ranjan, Jongmin Park, Donghyun Lee, et al.. (2013). Rspo 1 promotes osteoblast differentiation via Wnt signaling pathway.. PubMed. 50(1). 19–25. 24 indexed citations
13.
Nam, Joo‐Hyun, Namho Kim, Chang-Won Hong, et al.. (2013). Lys1110 of TRPM2 is critical for channel activation. Biochemical Journal. 455(3). 319–327. 5 indexed citations
14.
Han, Myoung Sook, Sun Young Park, Koei Shinzawa, et al.. (2007). Lysophosphatidylcholine as a death effector in the lipoapoptosis of hepatocytes. Journal of Lipid Research. 49(1). 84–97. 196 indexed citations
15.
Wie, Myung‐Bok, Seon-Young Lee, Kun Ho Son, et al.. (2006). Eugenol Inhibits Excitotoxins-Induced Delayed Neurotoxicity, Oxidative Injury and Convulsion. Toxicological Research. 22(3). 275–282. 4 indexed citations
16.
Cho, Jae‐Young, Hee‐Sung Kim, Jun‐Sub Jung, et al.. (2001). Protection against β‐amyloid peptide toxicity in vivo with long‐term administration of ferulic acid. British Journal of Pharmacology. 133(1). 89–96. 310 indexed citations
17.
18.
Song, Dong‐Keun, et al.. (1997). Long-term oral administration of ginseng extract decreases serum gamma-globulin and IgG1 isotype in mice. Journal of Ethnopharmacology. 58(1). 55–58. 14 indexed citations
19.
20.
Ha, Tae‐Sun, et al.. (1996). Molecular mechanisms underlying the regulation of proenkephalin gene expression in cultured spinal cord cells. Neuropeptides. 30(5). 506–513. 3 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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