S. Ahn

8.4k total citations · 1 hit paper
41 papers, 2.9k citations indexed

About

S. Ahn is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, S. Ahn has authored 41 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Pharmacology. Recurrent topics in S. Ahn's work include Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (9 papers) and RNA Research and Splicing (8 papers). S. Ahn is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (9 papers) and RNA Research and Splicing (8 papers). S. Ahn collaborates with scholars based in South Korea, United States and Canada. S. Ahn's co-authors include Stephen Buratowski, Minkyu Kim, Nevan J. Krogan, Jack Greenblatt, Andrew Emili, Sungyoul Hong, Hoi Young Lee, Michael‐Christopher Keogh, Hong‐Yeoul Ryu and Gerard Cagney and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

S. Ahn

40 papers receiving 2.8k citations

Hit Papers

Cotranscriptional Set2 Methylation of Histone H3 Lysine 3... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Ahn South Korea 21 2.7k 225 199 144 140 41 2.9k
Tamaki Suganuma United States 17 2.3k 0.9× 273 1.2× 119 0.6× 201 1.4× 189 1.4× 30 2.5k
Haruhiko Ishii United States 11 2.6k 1.0× 298 1.3× 287 1.4× 266 1.8× 197 1.4× 15 2.8k
Jian-Min Sun Canada 11 2.2k 0.8× 193 0.9× 204 1.0× 248 1.7× 112 0.8× 13 2.4k
Jeffrey K. Tong United States 11 2.4k 0.9× 232 1.0× 303 1.5× 232 1.6× 117 0.8× 15 2.7k
Reiko Ohba Japan 13 2.1k 0.8× 269 1.2× 141 0.7× 146 1.0× 89 0.6× 16 2.3k
Phillip R. Musich United States 23 1.3k 0.5× 305 1.4× 274 1.4× 195 1.4× 175 1.3× 58 1.8k
Laura J. Duggan United States 7 2.5k 0.9× 379 1.7× 153 0.8× 158 1.1× 89 0.6× 10 2.6k
Daniel E. Eyler United States 10 1.7k 0.6× 108 0.5× 131 0.7× 116 0.8× 149 1.1× 15 1.9k
Daniel Robyr Switzerland 17 1.5k 0.6× 212 0.9× 247 1.2× 434 3.0× 150 1.1× 22 1.9k
Adam P. Rosebrock United States 20 1.7k 0.6× 221 1.0× 400 2.0× 184 1.3× 178 1.3× 30 2.0k

Countries citing papers authored by S. Ahn

Since Specialization
Citations

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

Fields of papers citing papers by S. Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ahn. A scholar is included among the top collaborators of S. Ahn 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 S. Ahn. S. Ahn 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
2.
Ahn, Hyo‐Jeong, et al.. (2021). The Spt7 subunit of the SAGA complex is required for the regulation of lifespan in both dividing and nondividing yeast cells. Mechanisms of Ageing and Development. 196. 111480–111480. 8 indexed citations
3.
Ryu, Hong‐Yeoul, et al.. (2019). Symmetric dimethylation on histone H4R3 associates with histone deacetylation to maintain properly polarized cell growth. Research in Microbiology. 171(2). 91–98. 4 indexed citations
4.
Ryu, Hong‐Yeoul, et al.. (2019). Yeast symmetric arginine methyltransferase Hsl7 has a repressive role in transcription. Research in Microbiology. 170(4-5). 222–229. 6 indexed citations
5.
Ryu, Hong‐Yeoul, et al.. (2014). Loss of the Set2 histone methyltransferase increases cellular lifespan in yeast cells. Biochemical and Biophysical Research Communications. 446(1). 113–118. 22 indexed citations
6.
Ryu, Hong‐Yeoul, et al.. (2013). Cellular aging is associated with increased ubiquitylation of histone H2B in yeast telomeric heterochromatin. Biochemical and Biophysical Research Communications. 439(4). 570–575. 33 indexed citations
7.
Kwon, O Sang, et al.. (2012). Effects of Moxibustion at Combined Acupoints of ST36, BL21 and CV12 on Small Intestinal Motility for Sex and Ages of Rats. Korean Journal of Acupuncture. 29(4). 604–615. 1 indexed citations
8.
Park, Jae‐Hyun & S. Ahn. (2010). IMP dehydrogenase is recruited to the transcription complex through serine 2 phosphorylation of RNA polymerase II. Biochemical and Biophysical Research Communications. 392(4). 588–592. 12 indexed citations
9.
Ahn, S., Michael‐Christopher Keogh, & Stephen Buratowski. (2009). Ctk1 promotes dissociation of basal transcription factors from elongating RNA polymerase II. The EMBO Journal. 28(3). 205–212. 41 indexed citations
10.
Ahn, S., et al.. (2009). A Bre1-associated Protein, Large 1 (Lge1), Promotes H2B Ubiquitylation during the Early Stages of Transcription Elongation. Journal of Biological Chemistry. 285(4). 2361–2367. 44 indexed citations
11.
Lee, Eun Kyung, Gyu‐Un Bae, Jueng Soo You, et al.. (2008). Reversine Increases the Plasticity of Lineage-committed Cells toward Neuroectodermal Lineage. Journal of Biological Chemistry. 284(5). 2891–2901. 33 indexed citations
12.
Ahn, S., Jong Woo Park, Eun Kyung Lee, et al.. (2007). PKCε is essential for gelsolin expression by histone deacetylase inhibitor apicidin in human cervix cancer cells. Biochemical and Biophysical Research Communications. 354(3). 769–775. 13 indexed citations
14.
Kim, SoYoung, Jaeku Kang, Yong Kee Kim, et al.. (2006). Histone deacetylase inhibitor apicidin induces cyclin E expression through Sp1 sites. Biochemical and Biophysical Research Communications. 342(4). 1168–1173. 37 indexed citations
15.
Keogh, Michael‐Christopher, Siavash K. Kurdistani, Stephanie A. Morris, et al.. (2005). Cotranscriptional Set2 Methylation of Histone H3 Lysine 36 Recruits a Repressive Rpd3 Complex. Cell. 123(4). 593–605. 633 indexed citations breakdown →
16.
Kim, Minkyu, S. Ahn, Nevan J. Krogan, Jack Greenblatt, & Stephen Buratowski. (2004). Transitions in RNA polymerase II elongation complexes at the 3′ ends of genes. The EMBO Journal. 23(2). 354–364. 252 indexed citations
17.
Kwon, So Hee, S. Ahn, Yong Kee Kim, et al.. (2002). Apicidin, a Histone Deacetylase Inhibitor, Induces Apoptosis and Fas/Fas Ligand Expression in Human Acute Promyelocytic Leukemia Cells. Journal of Biological Chemistry. 277(3). 2073–2080. 179 indexed citations
18.
Han, Jeung‐Whan, S. Ahn, Yong Kee Kim, et al.. (2001). Activation of p21WAF1/Cip1 Transcription through Sp1 Sites by Histone Deacetylase Inhibitor Apicidin. Journal of Biological Chemistry. 276(45). 42084–42090. 81 indexed citations
19.
Ahn, S., Dong Wan Seo, Youngkwon Ko, et al.. (1998). NO/cGMP pathway is involved in exocrine secretion from rat pancreatic acinar cells. Archives of Pharmacal Research. 21(6). 657–663. 13 indexed citations
20.
Lee, Young‐Jin, et al.. (1997). Changes of nitric oxide synthase activity and free methylarginines contents in regenerating rat liver after partial hepatectomy. Archives of Pharmacal Research. 20(3). 239–246. 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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