Sun Shim Choi

3.1k total citations · 1 hit paper
75 papers, 2.3k citations indexed

About

Sun Shim Choi is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Sun Shim Choi has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 14 papers in Immunology and 14 papers in Cancer Research. Recurrent topics in Sun Shim Choi's work include RNA modifications and cancer (17 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (7 papers). Sun Shim Choi is often cited by papers focused on RNA modifications and cancer (17 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (7 papers). Sun Shim Choi collaborates with scholars based in South Korea, United States and Nepal. Sun Shim Choi's co-authors include Bruce T. Lahn, Seung Gu Park, Donghyun Park, Kwon‐Soo Ha, Gerald J. Wyckoff, Steve Dorus, Patrick Evans, Yu‐Jin Jung, Sridhar Hannenhalli and Seung‐Ho Shin and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Immunity.

In The Last Decade

Sun Shim Choi

72 papers receiving 2.3k citations

Hit Papers

Gut microbiome-derived butyrate inhibits the immunosuppre... 2024 2026 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Shim Choi South Korea 27 1.3k 336 323 223 211 75 2.3k
Zhiqin Wang China 29 1.5k 1.2× 237 0.7× 322 1.0× 200 0.9× 338 1.6× 107 3.0k
Johannes Rainer Austria 30 1.4k 1.1× 238 0.7× 327 1.0× 387 1.7× 302 1.4× 81 2.8k
Rajesh Raju India 26 1.1k 0.8× 173 0.5× 423 1.3× 254 1.1× 277 1.3× 126 2.4k
Roland Hilgarth United States 22 1.0k 0.8× 187 0.6× 509 1.6× 165 0.7× 179 0.8× 33 1.7k
George Th. Tsangaris Greece 29 1.0k 0.8× 323 1.0× 270 0.8× 163 0.7× 206 1.0× 147 2.6k
Lesley Heptinstall United Kingdom 13 1.1k 0.9× 395 1.2× 190 0.6× 226 1.0× 196 0.9× 19 2.5k
Manjunath B. Joshi India 25 1.1k 0.9× 483 1.4× 715 2.2× 160 0.7× 160 0.8× 101 2.6k
Ana M. Aransay Spain 32 1.5k 1.2× 282 0.8× 375 1.2× 605 2.7× 154 0.7× 106 3.0k
Jinliang Li China 32 1.5k 1.2× 160 0.5× 194 0.6× 172 0.8× 179 0.8× 101 2.5k
Xiao Xiao China 26 1.6k 1.2× 343 1.0× 341 1.1× 129 0.6× 144 0.7× 107 2.4k

Countries citing papers authored by Sun Shim Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sun Shim Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Shim Choi. 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 Sun Shim Choi. The network helps show where Sun Shim Choi may publish in the future.

Co-authorship network of co-authors of Sun Shim Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Shim Choi. A scholar is included among the top collaborators of Sun Shim Choi 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 Sun Shim Choi. Sun Shim Choi 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.
Kim, Hyunjung, et al.. (2024). Effects of Genetic Risk and Lifestyle Habits on Gout: A Korean Cohort Study. Journal of Korean Medical Science. 40(2). e1–e1.
2.
Min, Hong Ki, Hyun Sik Na, JooYeon Jhun, et al.. (2023). Identification of gut dysbiosis in axial spondyloarthritis patients and improvement of experimental ankylosing spondyloarthritis by microbiome-derived butyrate with immune-modulating function. Frontiers in Immunology. 14. 1096565–1096565. 19 indexed citations
3.
Kim, Jinho, Hyun Jung Kim, Min-Seok Lee, et al.. (2023). Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients. Journal of Translational Medicine. 21(1). 209–209. 7 indexed citations
4.
Jin, Hyung‐seung, Yoon Park, Yu‐Jin Jung, et al.. (2020). GSK3 Restrains Germinal Center B Cells to Form Plasma Cells. The Journal of Immunology. 206(3). 481–493. 12 indexed citations
6.
Choi, Sun Shim, et al.. (2019). Enrichment of rare alleles within epigenetic chromatin marks in the first intron. Genomics & Informatics. 17(1). e9–e9. 5 indexed citations
7.
Choi, Sun Shim, et al.. (2017). Synonymous Codon Usage Controls Various Molecular Aspects. Genomics & Informatics. 15(4). 123–127. 18 indexed citations
8.
Kim, Eunhee, et al.. (2017). Identification of genes dysregulated by elevation of microRNA‐210 levels in human trophoblasts cell line, Swan 71. American Journal of Reproductive Immunology. 78(5). 8 indexed citations
9.
Koh, In-Uk, Jae-Bum Bae, Eun-Seok Jeon, et al.. (2016). Methylome analysis reveals alterations in DNA methylation in the regulatory regions of left ventricle development genes in human dilated cardiomyopathy. Genomics. 108(2). 84–92. 30 indexed citations
10.
Yang, Jin‐Young, Min‐Soo Kim, Jae Hee Cheon, et al.. (2016). Enteric Viruses Ameliorate Gut Inflammation via Toll-like Receptor 3 and Toll-like Receptor 7-Mediated Interferon-β Production. Immunity. 44(4). 889–900. 156 indexed citations
11.
Oh, Ju-Eun, Ho Sik Rho, Yanyan Yang, et al.. (2013). Extracellular Signal-Regulated Kinase Is a Direct Target of the Anti-Inflammatory Compound Amentoflavone Derived fromTorreya nucifera. Mediators of Inflammation. 2013. 1–11. 39 indexed citations
12.
Cho, Hana, Sisu Han, Junho Choe, et al.. (2012). SMG5–PNRC2 is functionally dominant compared with SMG5–SMG7 in mammalian nonsense-mediated mRNA decay. Nucleic Acids Research. 41(2). 1319–1328. 71 indexed citations
13.
Cho, Hana, Kyoung Mi Kim, Sisu Han, et al.. (2012). Staufen1-Mediated mRNA Decay Functions in Adipogenesis. Molecular Cell. 46(4). 495–506. 93 indexed citations
14.
Yang, Hyungjun, Hyun‐Jeong Ko, Jin‐Young Yang, et al.. (2012). Interleukin-1 Promotes Coagulation, Which Is Necessary for Protective Immunity in the Lung Against Streptococcus pneumoniae Infection. The Journal of Infectious Diseases. 207(1). 50–60. 30 indexed citations
15.
Yi, Jae Youn, et al.. (2009). Autophagy-mediated anti-tumoral activity of imiquimod in Caco-2 cells. Biochemical and Biophysical Research Communications. 386(3). 455–458. 32 indexed citations
16.
Park, Donghyun, Jungsun Park, Seung Gu Park, Taesung Park, & Sun Shim Choi. (2008). Analysis of human disease genes in the context of gene essentiality. Genomics. 92(6). 414–418. 26 indexed citations
17.
Choi, Sun Shim, Eliot Bush, & Bruce T. Lahn. (2005). Different classes of tissue-specific genes show different levels of noncoding conservation. Genomics. 87(3). 433–436. 5 indexed citations
18.
Choi, Sun Shim & Bruce T. Lahn. (2003). Adaptive Evolution ofMRG, a Neuron-Specific Gene Family Implicated in Nociception. Genome Research. 13(10). 2252–2259. 72 indexed citations
19.
Choi, Sun Shim, et al.. (1998). Expression of a novel Bcl-2 related gene, Bfl-1, in various human cancers and cancer cell lines.. PubMed. 17(6D). 4619–22. 34 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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