Beomjong Song

1.2k total citations
26 papers, 913 citations indexed

About

Beomjong Song is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Beomjong Song has authored 26 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 14 papers in Cognitive Neuroscience and 11 papers in Molecular Biology. Recurrent topics in Beomjong Song's work include Neuroscience and Neuropharmacology Research (15 papers), Memory and Neural Mechanisms (13 papers) and CRISPR and Genetic Engineering (9 papers). Beomjong Song is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Memory and Neural Mechanisms (13 papers) and CRISPR and Genetic Engineering (9 papers). Beomjong Song collaborates with scholars based in South Korea, United States and Germany. Beomjong Song's co-authors include Sangsu Bae, Jeongyeon Kim, Ingie Hong, Sukwoo Choi, Sukwon Lee, You Kyeong Jeong, Hans Förstl, Ulf Neumann, Kyungjoon Park and Marc Aurel Busche and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Beomjong Song

24 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beomjong Song South Korea 13 525 446 310 188 137 26 913
Hamdy Shaban Switzerland 14 647 1.2× 420 0.9× 390 1.3× 129 0.7× 110 0.8× 26 1.0k
Yoshitake Sano Japan 17 559 1.1× 401 0.9× 516 1.7× 214 1.1× 52 0.4× 39 1.3k
Tambudzai Kanhema Norway 8 753 1.4× 234 0.5× 394 1.3× 96 0.5× 188 1.4× 10 1.1k
Karine Gamache Canada 13 826 1.6× 598 1.3× 848 2.7× 187 1.0× 202 1.5× 16 1.8k
Sanya Fanous United States 13 779 1.5× 265 0.6× 404 1.3× 131 0.7× 198 1.4× 13 1.1k
Cristina Bertollini Italy 13 500 1.0× 261 0.6× 263 0.8× 87 0.5× 115 0.8× 15 1.2k
Arianna Rinaldi Italy 16 374 0.7× 229 0.5× 301 1.0× 62 0.3× 86 0.6× 26 833
Mireille Daigle Canada 18 346 0.7× 153 0.3× 512 1.7× 116 0.6× 68 0.5× 24 1000
Seth A. Balogh United States 16 471 0.9× 291 0.7× 452 1.5× 106 0.6× 183 1.3× 19 984
Roland Bock United States 11 802 1.5× 286 0.6× 434 1.4× 83 0.4× 46 0.3× 13 1.0k

Countries citing papers authored by Beomjong Song

Since Specialization
Citations

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

Fields of papers citing papers by Beomjong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beomjong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Beomjong Song. A scholar is included among the top collaborators of Beomjong 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 Beomjong Song. Beomjong 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, Beomjong. (2025). Efforts to Downsize Base Editors for Clinical Applications. International Journal of Molecular Sciences. 26(5). 2357–2357.
2.
Song, Beomjong, et al.. (2024). Genome editing using CRISPR, CAST, and Fanzor systems. Molecules and Cells. 47(7). 100086–100086. 7 indexed citations
3.
Song, Beomjong & Sangsu Bae. (2022). Voyage to minimal base editors. Nature Chemical Biology. 18(9). 920–921.
4.
Song, Beomjong, et al.. (2021). In vivo genome editing in single mammalian brain neurons through CRISPR-Cas9 and cytosine base editors. Computational and Structural Biotechnology Journal. 19. 2477–2485. 3 indexed citations
5.
Jeong, You Kyeong, Beomjong Song, & Sangsu Bae. (2020). Current Status and Challenges of DNA Base Editing Tools. Molecular Therapy. 28(9). 1938–1952. 93 indexed citations
6.
Kim, Jihye, Kyungjoon Park, Junghwa Lee, et al.. (2020). GSK-3β activation is required for ZIP-induced disruption of learned fear. Scientific Reports. 10(1). 18227–18227. 3 indexed citations
7.
Jang, Hyeon‐Ki, Beomjong Song, Gue‐Ho Hwang, & Sangsu Bae. (2020). Current trends in gene recovery mediated by the CRISPR-Cas system. Experimental & Molecular Medicine. 52(7). 1016–1027. 36 indexed citations
8.
Adelsberger, Helmuth, Ulf Neumann, Derya R. Shimshek, et al.. (2017). BACE inhibition-dependent repair of Alzheimer’s pathophysiology. Proceedings of the National Academy of Sciences. 114(32). 8631–8636. 98 indexed citations
9.
Park, Sungmo, Kyungjoon Park, Jeongyeon Kim, et al.. (2016). Sound tuning of amygdala plasticity in auditory fear conditioning. Scientific Reports. 6(1). 31069–31069. 12 indexed citations
10.
Busche, Marc Aurel, Christine Grienberger, Beomjong Song, et al.. (2015). Decreased amyloid-β and increased neuronal hyperactivity by immunotherapy in Alzheimer's models. Nature Neuroscience. 18(12). 1725–1727. 109 indexed citations
11.
Park, Kyungjoon, Beomjong Song, Jeongyeon Kim, et al.. (2014). ABA Renewal Involves Enhancements in Both GluA2-Lacking AMPA Receptor Activity and GluA1 Phosphorylation in the Lateral Amygdala. PLoS ONE. 9(6). e100108–e100108. 9 indexed citations
12.
Park, Kyungjoon, Ingie Hong, Beomjong Song, et al.. (2014). Group I mGluR-dependent depotentiation in the lateral amygdala does not require the removal of calcium-permeable AMPA receptors. Frontiers in Behavioral Neuroscience. 8. 269–269. 3 indexed citations
13.
Hong, Ingie, Ki Na Yun, Sungmo Park, et al.. (2013). Quantitative proteomics of auditory fear conditioning. Biochemical and Biophysical Research Communications. 434(1). 87–94. 14 indexed citations
14.
Lee, Sukwon, Beomjong Song, Jeongyeon Kim, et al.. (2013). GluA1 phosphorylation at serine 831 in the lateral amygdala is required for fear renewal. Nature Neuroscience. 16(10). 1436–1444. 38 indexed citations
15.
Song, Beomjong, Sukwon Lee, & Sukwoo Choi. (2012). LY404187, a potentiator of AMPARs, enhances both the amplitude and 1/CV2 of AMPA EPSCs but not NMDA EPSCs at CA3–CA1 synapses in the hippocampus of neonatal rats. Neuroscience Letters. 531(2). 193–197. 2 indexed citations
16.
Hong, Ingie, Jihye Kim, Sungmo Park, et al.. (2011). Reversible Plasticity of Fear Memory-Encoding Amygdala Synaptic Circuits Even after Fear Memory Consolidation. PLoS ONE. 6(9). e24260–e24260. 23 indexed citations
17.
Hong, Ingie, Jeongyeon Kim, Beomjong Song, et al.. (2011). Modulation of fear memory by retrieval and extinction: a clue for memory deconsolidation. Reviews in the Neurosciences. 22(2). 205–229. 10 indexed citations
18.
Hong, Ingie, Jeongyeon Kim, Beomjong Song, et al.. (2011). Fear conditioning occludes late-phase long-term potentiation at thalamic input synapses onto the lateral amygdala in rat brain slices. Neuroscience Letters. 506(1). 121–125. 9 indexed citations
19.
Kim, Jeongyeon, Beomjong Song, Ingie Hong, et al.. (2010). Reactivation of Fear Memory Renders Consolidated Amygdala Synapses Labile. Journal of Neuroscience. 30(28). 9631–9640. 45 indexed citations
20.
Kim, Jeongyeon, Sukwon Lee, Beomjong Song, et al.. (2007). Blockade of amygdala metabotropic glutamate receptor subtype 1 impairs fear extinction. Biochemical and Biophysical Research Communications. 355(1). 188–193. 67 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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