Dae‐Geun Song

3.1k total citations
88 papers, 2.0k citations indexed

About

Dae‐Geun Song is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Plant Science. According to data from OpenAlex, Dae‐Geun Song has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 14 papers in Renewable Energy, Sustainability and the Environment and 12 papers in Plant Science. Recurrent topics in Dae‐Geun Song's work include Algal biology and biofuel production (14 papers), Phytochemicals and Antioxidant Activities (7 papers) and Gut microbiota and health (7 papers). Dae‐Geun Song is often cited by papers focused on Algal biology and biofuel production (14 papers), Phytochemicals and Antioxidant Activities (7 papers) and Gut microbiota and health (7 papers). Dae‐Geun Song collaborates with scholars based in South Korea, United States and Puerto Rico. Dae‐Geun Song's co-authors include Cheol‐Ho Pan, Kwang Hyun, Sang Min Kim, Dong‐Un Lee, Donghwa Chung, Ki Young Choi, Hwa Seung Han, Joo Young Lee, Il-Kyoon Mok and Sang Eun Lee and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dae‐Geun Song

85 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae‐Geun Song South Korea 25 673 462 319 238 224 88 2.0k
Fatih Karadeniz South Korea 21 636 0.9× 131 0.3× 155 0.5× 467 2.0× 136 0.6× 83 1.6k
Hyeung‐Rak Kim South Korea 29 892 1.3× 209 0.5× 182 0.6× 995 4.2× 229 1.0× 104 2.4k
Weon‐Jong Yoon South Korea 28 1.0k 1.6× 204 0.4× 455 1.4× 721 3.0× 287 1.3× 96 2.6k
Srimanta Patra India 30 1.2k 1.8× 228 0.5× 114 0.4× 487 2.0× 125 0.6× 65 2.4k
Hui He China 32 1.5k 2.2× 165 0.4× 547 1.7× 203 0.9× 168 0.8× 78 2.6k
Yixiang Liu China 23 458 0.7× 115 0.2× 351 1.1× 278 1.2× 393 1.8× 64 1.6k
Cheol‐Ho Pan South Korea 35 1.6k 2.3× 834 1.8× 833 2.6× 673 2.8× 397 1.8× 150 4.0k
Chang‐Suk Kong South Korea 29 1.0k 1.5× 141 0.3× 401 1.3× 600 2.5× 390 1.7× 166 2.7k
Byong-Tae Jeon South Korea 32 1.4k 2.0× 150 0.3× 345 1.1× 704 3.0× 248 1.1× 90 2.7k
Madhava C. Reddy India 20 525 0.8× 329 0.7× 83 0.3× 125 0.5× 84 0.4× 52 1.7k

Countries citing papers authored by Dae‐Geun Song

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Geun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae‐Geun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Geun Song. A scholar is included among the top collaborators of Dae‐Geun 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 Dae‐Geun Song. Dae‐Geun 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.
Choi, Yejin, Sieun Kim, Ji Young Shin, et al.. (2025). Integrative glycomic analysis reveals the crucial role of protein glycosylation in fungal pathogenesis. PLoS Pathogens. 21(7). e1013325–e1013325. 3 indexed citations
3.
Cho, Yena, et al.. (2025). CARM1 regulates tubulin autoregulation through PI3KC2α R175 methylation. Cell Communication and Signaling. 23(1). 120–120. 2 indexed citations
4.
Lee, SoHyun, et al.. (2025). Genetic Ablation of the Conidiogenesis Regulator Enhances Mycoprotein Production. Journal of Agricultural and Food Chemistry. 73(18). 11466–11476. 2 indexed citations
5.
Lee, Hee Ju, et al.. (2024). Benzo(a)pyrene and Gut Microbiome Crosstalk: Health Risk Implications. Toxics. 12(12). 938–938. 1 indexed citations
7.
Han, Hwa Seung, Soonjae Hwang, Dae‐Geun Song, et al.. (2024). Roseburia intestinalis‐derived extracellular vesicles ameliorate colitis by modulating intestinal barrier, microbiome, and inflammatory responses. Journal of Extracellular Vesicles. 13(8). e12487–e12487. 24 indexed citations
8.
Kim, Ji Eon, So‐Young Park, Chulhwan Kwak, et al.. (2023). Glucose‐mediated mitochondrial reprogramming by cholesterol export at TM4SF5‐enriched mitochondria‐lysosome contact sites. Cancer Communications. 44(1). 47–75. 6 indexed citations
9.
Song, Dae‐Geun, et al.. (2023). The Role of Fucoxanthin in Non-Alcoholic Fatty Liver Disease. International Journal of Molecular Sciences. 24(9). 8203–8203. 17 indexed citations
10.
Ryu, Da Hye, Dae‐Geun Song, Jin‐Chul Kim, et al.. (2021). Postharvest Drying Techniques Regulate Secondary Metabolites and Anti-Neuroinflammatory Activities of Ganoderma lucidum. Molecules. 26(15). 4484–4484. 9 indexed citations
11.
Huda, M. Nazmul, et al.. (2021). Characterization of endogenous promoters of GapC1 and GS for recombinant protein expression in Phaeodactylum tricornutum. MicrobiologyOpen. 10(5). e1239–e1239. 3 indexed citations
12.
Kim, Eun‐Mi, Jihye Ryu, Hye-Jin Lee, et al.. (2021). TM4SF5-mediated liver malignancy involves NK cell exhaustion-like phenotypes. Cellular and Molecular Life Sciences. 79(1). 49–49. 18 indexed citations
13.
Ryu, Jihye, Eun‐Mi Kim, Minkyung Kang, et al.. (2020). Differential TM4SF5 ‐mediated SIRT1 modulation and metabolic signaling in nonalcoholic steatohepatitis progression. The Journal of Pathology. 253(1). 55–67. 22 indexed citations
14.
Jung, Jae Woo, Stephani Joy Y. Macalino, Minghua Cui, et al.. (2019). Transmembrane 4 L Six Family Member 5 Senses Arginine for mTORC1 Signaling. Cell Metabolism. 29(6). 1306–1319.e7. 59 indexed citations
15.
Park, Hyang-Mi, Tae‐Ho Lee, Duk‐Ju Hwang, et al.. (2014). A Pepper MSRB2 Gene Confers Drought Tolerance in Rice through the Protection of Chloroplast-Targeted Genes. PLoS ONE. 9(3). e90588–e90588. 24 indexed citations
16.
Lee, Joo Young, Dae‐Geun Song, Sang‐Hoon Kwon, et al.. (2013). A Monoclonal Antibody Against the Human SUMO-1 Protein Obtained by Immunization with Recombinant Protein and CpG-DNA-liposome Complex. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 32(5). 354–361. 1 indexed citations
17.
Song, Dae‐Geun, Kwang Hyun, Dae‐Geun Song, et al.. (2011). Amplification of allyl isothiocyanate in red cabbage using high hydrostatic pressure treatment. Journal of Medicinal Plants Research. 5(16). 3819–3822. 2 indexed citations
18.
Kim, Sang Min, et al.. (2010). Isolation and Identification of Antioxidant Compounds from  Ligularia fischeri. Journal of Food Science. 75(6). C530–5. 45 indexed citations
19.
Park, Won Hyung, et al.. (2009). A case of sarcoidosis presenting with multiple papules, hypercalcemia, and renal failure. The Korean Journal of Internal Medicine. 77. 1226–1230. 1 indexed citations
20.
Lee, Saet Byoul, Joo Young Lee, Dae‐Geun Song, et al.. (2008). Cancer Chemopreventive Effects of Korean Seaweed Extracts. Food Science and Biotechnology. 17(3). 613–622. 25 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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