Kyu‐Sang Song

1.5k total citations
39 papers, 1.2k citations indexed

About

Kyu‐Sang Song is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Kyu‐Sang Song has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Surgery and 9 papers in Oncology. Recurrent topics in Kyu‐Sang Song's work include Cancer-related gene regulation (14 papers), RNA modifications and cancer (12 papers) and Epigenetics and DNA Methylation (11 papers). Kyu‐Sang Song is often cited by papers focused on Cancer-related gene regulation (14 papers), RNA modifications and cancer (12 papers) and Epigenetics and DNA Methylation (11 papers). Kyu‐Sang Song collaborates with scholars based in South Korea, United States and Norway. Kyu‐Sang Song's co-authors include Seon‐Young Kim, Jun-Sang Kim, Seung‐Moo Noh, Woong Yoon, Moon-June Cho, Yong Sung Kim, Mirang Kim, Kim Js, Jong‐Lyul Park and Hyang‐Sook Yoo and has published in prestigious journals such as Immunity, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Kyu‐Sang Song

37 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyu‐Sang Song South Korea 21 707 395 361 309 183 39 1.2k
Guiyang Jiang China 21 899 1.3× 310 0.8× 324 0.9× 196 0.6× 261 1.4× 78 1.3k
Xuyong Lin China 21 821 1.2× 303 0.8× 295 0.8× 184 0.6× 245 1.3× 93 1.3k
Josephine Mun Yee Ko Hong Kong 24 831 1.2× 491 1.2× 443 1.2× 179 0.6× 185 1.0× 63 1.4k
Zhi‐Zhou Shi China 20 940 1.3× 305 0.8× 617 1.7× 178 0.6× 317 1.7× 53 1.3k
Bo Gun Jang South Korea 21 590 0.8× 466 1.2× 236 0.7× 259 0.8× 355 1.9× 72 1.2k
Seung‐Moo Noh South Korea 20 583 0.8× 175 0.4× 305 0.8× 206 0.7× 198 1.1× 33 970
Ahmed Katsha United States 14 485 0.7× 282 0.7× 197 0.5× 197 0.6× 223 1.2× 14 903
Jun Hou China 17 673 1.0× 288 0.7× 235 0.7× 203 0.7× 245 1.3× 62 1.1k
Shu Shimada Japan 22 1.0k 1.4× 354 0.9× 604 1.7× 124 0.4× 203 1.1× 43 1.4k

Countries citing papers authored by Kyu‐Sang Song

Since Specialization
Citations

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

Fields of papers citing papers by Kyu‐Sang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyu‐Sang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kyu‐Sang Song. A scholar is included among the top collaborators of Kyu‐Sang 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 Kyu‐Sang Song. Kyu‐Sang 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.
2.
Seo, Eun‐Hye, Hee‐Jin Kim, Byungho Lim, et al.. (2020). ONECUT2 upregulation is associated with CpG hypomethylation at promoter‐proximal DNA in gastric cancer and triggers ACSL5. International Journal of Cancer. 146(12). 3354–3368. 25 indexed citations
3.
4.
Kim, Seon‐Kyu, Han Jo Kim, Jong‐Lyul Park, et al.. (2019). Identification of a molecular signature of prognostic subtypes in diffuse-type gastric cancer. Gastric Cancer. 23(3). 473–482. 40 indexed citations
5.
Moon, Hee Seok, Ju Kim, Hyuk Soo Eun, et al.. (2017). Risk factors for metachronous gastric carcinoma development after endoscopic resection of gastric dysplasia: Retrospective, single-center study. World Journal of Gastroenterology. 23(24). 4407–4407. 26 indexed citations
6.
Son, Hong Hyun, et al.. (2016). Effects of flow obstacles on pool boiling critical heat flux of a downward-facing metal heater. Experimental Thermal and Fluid Science. 80. 313–326. 4 indexed citations
7.
Kim, Ju, Hee Seok Moon, Sun Hyung Kang, et al.. (2015). Gastric Perforation Caused by Primary Gastric Diffuse Large B Cell Lymphoma. Korean Journal of Gastroenterology. 65(1). 43–43. 2 indexed citations
8.
Kim, Hee‐Jin, Kyung‐Tae Lee, Jeong‐Hwan Kim, et al.. (2014). Epigenetic silencing of BTB and CNC homology 2 and concerted promoter CpG methylation in gastric cancer. Cancer Letters. 351(2). 206–214. 13 indexed citations
9.
Park, Seongmin, Sung‐Joon Park, Hee‐Jin Kim, et al.. (2013). A known expressed sequence tag, BM742401, is a potent lincRNA inhibiting cancer metastasis. Experimental & Molecular Medicine. 45(7). e31–e31. 45 indexed citations
10.
Kwon, Oh‐Hyung, Jong‐Lyul Park, Su‐Jin Baek, et al.. (2012). Aberrant upregulation of ASCL2 by promoter demethylation promotes the growth and resistance to 5‐fluorouracil of gastric cancer cells. Cancer Science. 104(3). 391–397. 33 indexed citations
11.
Kwon, Oh‐Hyung, Jong‐Lyul Park, Mirang Kim, et al.. (2011). Aberrant up-regulation of LAMB3 and LAMC2 by promoter demethylation in gastric cancer. Biochemical and Biophysical Research Communications. 406(4). 539–545. 51 indexed citations
12.
Kim, Jong‐Ok, et al.. (2009). Expression of CXCR4 and SDF-1α in Primary Breast Cancers and Metastatic Lymph Nodes. Journal of Breast Cancer. 12(4). 249–249. 3 indexed citations
13.
Kim, Mirang, Jeonghwan Kim, Hay-Ran Jang, et al.. (2008). LRRC3B , Encoding a Leucine-Rich Repeat-Containing Protein, Is a Putative Tumor Suppressor Gene in Gastric Cancer. Cancer Research. 68(17). 7147–7155. 46 indexed citations
14.
Kim, Seon‐Young, Seon‐Young Kim, Jeonghwan Kim, et al.. (2007). Meta- and Gene Set Analysis of Stomach Cancer Gene Expression Data. Molecules and Cells. 24(2). 200–209. 20 indexed citations
15.
Kim, Jun-Sang, Jun-Sang Kim, Jin‐Man Kim, et al.. (2006). Epidermal growth factor receptor as a predictor of tumor downstaging in locally advanced rectal cancer patients treated with preoperative chemoradiotherapy. International Journal of Radiation Oncology*Biology*Physics. 66(1). 195–200. 67 indexed citations
16.
Oh, Jung‐Hwa, Jin Ok Yang, Yoonsoo Hahn, et al.. (2005). Transcriptome analysis of human gastric cancer. Mammalian Genome. 16(12). 942–954. 22 indexed citations
17.
Kim, Nam-Soon, Yoonsoo Hahn, Jung‐Hwa Oh, et al.. (2004). Gene cataloging and expression profiling in human gastric cancer cells by expressed sequence tags. Genomics. 83(6). 1024–1045. 27 indexed citations
18.
Kim, Jun-Sang, Kim Js, Moon-June Cho, Kyu‐Sang Song, & Woong Yoon. (2002). Preoperative chemoradiation using oral capecitabine in locally advanced rectal cancer. International Journal of Radiation Oncology*Biology*Physics. 54(2). 403–408. 174 indexed citations
19.
Choi, You‐Jin, et al.. (2002). Hyaline‐vascular type Castleman's disease involving both orbits. Acta Ophthalmologica Scandinavica. 80(5). 537–539. 16 indexed citations
20.
Kim, Young Soon, Kyu‐Sang Song, & Hyeonsook Cheong. (1996). RESEARCH ARTICLES : Effects of Flavonoids on Pollen Tube Growth in Arabidopsis thaliana. 39(4). 273–278. 2 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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