Soyeong Sim

1.4k total citations
32 papers, 1.1k citations indexed

About

Soyeong Sim is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Soyeong Sim has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Genetics. Recurrent topics in Soyeong Sim's work include RNA and protein synthesis mechanisms (15 papers), RNA Research and Splicing (13 papers) and RNA modifications and cancer (7 papers). Soyeong Sim is often cited by papers focused on RNA and protein synthesis mechanisms (15 papers), RNA Research and Splicing (13 papers) and RNA modifications and cancer (7 papers). Soyeong Sim collaborates with scholars based in United States, South Korea and Malaysia. Soyeong Sim's co-authors include Sandra L. Wolin, Xinguo Chen, Matthew I. Wahl, S Nishibe, Sue Goo Rhee, G Carpenter, David E. Weinberg, Marco Boccitto, Sangkee Rhee and Younghoon Lee and has published in prestigious journals such as Chemical Reviews, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Soyeong Sim

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soyeong Sim United States 18 817 184 141 128 123 32 1.1k
Ravi Misra United States 19 1.1k 1.4× 180 1.0× 184 1.3× 210 1.6× 108 0.9× 37 1.6k
Yick W. Fong United States 14 1.1k 1.3× 115 0.6× 94 0.7× 84 0.7× 51 0.4× 19 1.3k
Francesco Marchesi United Kingdom 14 919 1.1× 213 1.2× 141 1.0× 73 0.6× 127 1.0× 35 1.3k
Paul J. Furdon United States 11 693 0.8× 278 1.5× 238 1.7× 93 0.7× 84 0.7× 13 1.3k
Androulla Elia United Kingdom 15 849 1.0× 376 2.0× 187 1.3× 98 0.8× 79 0.6× 22 1.4k
W. Dong China 15 542 0.7× 93 0.5× 113 0.8× 81 0.6× 187 1.5× 24 982
Michael D. Tavaria Australia 6 704 0.9× 105 0.6× 126 0.9× 51 0.4× 104 0.8× 7 977
Miao Tang United States 18 411 0.5× 230 1.3× 91 0.6× 93 0.7× 94 0.8× 43 989
Meng Lin China 20 596 0.7× 407 2.2× 137 1.0× 73 0.6× 48 0.4× 33 1.1k
Takeshi Ueda Japan 18 1.3k 1.5× 202 1.1× 138 1.0× 121 0.9× 65 0.5× 39 1.5k

Countries citing papers authored by Soyeong Sim

Since Specialization
Citations

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

Fields of papers citing papers by Soyeong Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soyeong Sim

This figure shows the co-authorship network connecting the top 25 collaborators of Soyeong Sim. A scholar is included among the top collaborators of Soyeong Sim 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 Soyeong Sim. Soyeong Sim 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.
Sim, Soyeong, et al.. (2025). RNA sensing at the crossroads of autoimmunity and autoinflammation. RNA. 31(3). 369–381.
2.
Lee, Ho Jeong, Soyeong Sim, Joon Hee Kang, et al.. (2025). ACAA1 knockout increases the survival rate of KPC mice by activating autophagy. Molecular Metabolism. 100. 102237–102237.
3.
Sim, Soyeong, Kevin J. Hughes, Xinguo Chen, & Sandra L. Wolin. (2020). The Bacterial Ro60 Protein and Its Noncoding Y RNA Regulators. Annual Review of Microbiology. 74(1). 387–407. 7 indexed citations
4.
Belair, Cédric, Soyeong Sim, Kun‐Yong Kim, et al.. (2019). The RNA exosome nuclease complex regulates human embryonic stem cell differentiation. The Journal of Cell Biology. 218(8). 2564–2582. 30 indexed citations
5.
Greiling, Teri M., Carina Dehner, Xinguo Chen, et al.. (2018). Commensal orthologs of the human autoantigen Ro60 as triggers of autoimmunity in lupus. Science Translational Medicine. 10(434). 219 indexed citations
6.
Eckwahl, Matthew J., et al.. (2015). A retrovirus packages nascent host noncoding RNAs from a novel surveillance pathway. Genes & Development. 29(6). 646–657. 38 indexed citations
7.
Chen, Xinguo, et al.. (2014). Bacterial noncoding Y RNAs are widespread and mimic tRNAs. RNA. 20(11). 1715–1724. 35 indexed citations
8.
Wolin, Sandra L., Cédric Belair, Marco Boccitto, et al.. (2013). Non-coding Y RNAs as tethers and gates. RNA Biology. 10(10). 1602–1608. 27 indexed citations
9.
Reed, Joanne H., Soyeong Sim, Sandra L. Wolin, Robert M. Clancy, & Jill P. Buyon. (2013). Ro60 Requires Y3 RNA for Cell Surface Exposure and Inflammation Associated with Cardiac Manifestations of Neonatal Lupus. The Journal of Immunology. 191(1). 110–116. 38 indexed citations
10.
Wolin, Sandra L., Soyeong Sim, & Xinguo Chen. (2012). Nuclear noncoding RNA surveillance: is the end in sight?. Trends in Genetics. 28(7). 306–313. 30 indexed citations
11.
Sim, Soyeong & Sandra L. Wolin. (2011). Emerging roles for the Ro 60‐kDa autoantigen in noncoding RNA metabolism. Wiley Interdisciplinary Reviews - RNA. 2(5). 686–699. 52 indexed citations
12.
Sim, Soyeong, Jie Yao, David E. Weinberg, et al.. (2011). The zipcode-binding protein ZBP1 influences the subcellular location of the Ro 60-kDa autoantigen and the noncoding Y3 RNA. RNA. 18(1). 100–110. 35 indexed citations
13.
Sim, Soyeong, David E. Weinberg, Gabriele Fuchs, et al.. (2008). The Subcellular Distribution of an RNA Quality Control Protein, the Ro Autoantigen, Is Regulated by Noncoding Y RNA Binding. Molecular Biology of the Cell. 20(5). 1555–1564. 68 indexed citations
14.
Kim, Kwang-sun, et al.. (2005). Processing of M1 RNA at the 3′ End Protects Its Primary Transcript from Degradation. Journal of Biological Chemistry. 280(41). 34667–34674. 18 indexed citations
15.
Sim, Soyeong, Kwang-sun Kim, & Younghoon Lee. (2002). 3′‐end processing of precursor M1 RNA by the N‐terminal half of RNase E. FEBS Letters. 529(2-3). 225–231. 12 indexed citations
16.
Sim, Soyeong, Hyun Soo Shim, Jaesung Choi, et al.. (2001). Involvement of Cyclic GMP in Nitric-Oxide-induced Gastric Relaxation: Comparison of the Actions of Cyclic GMP and Cyclic AMP. Scandinavian Journal of Gastroenterology. 36(1). 16–22. 2 indexed citations
17.
Kim, Semi, Soyeong Sim, & Younghoon Lee. (1999). In vitro analysis of processing at the 3'-end of precursors of M1 RNA, the catalytic subunit of Escherichia coli RNase P: Multiple pathways and steps for the processing. Nucleic Acids Research. 27(3). 895–902. 8 indexed citations
18.
Balla, Tamás, Soyeong Sim, Albert J. Baukal, Sangkee Rhee, & Kevin Catt. (1994). Inositol polyphosphates are not increased by overexpression of Ins(1,4,5)P3 3-kinase but show cell-cycle dependent changes in growth factor-stimulated fibroblasts.. Molecular Biology of the Cell. 5(1). 17–27. 28 indexed citations
19.
Sim, Soyeong, et al.. (1993). H1Receptor Mediates Inositol Phosphates Response to Histamine in Gastric Smooth Muscle of Guinea Pigs. Scandinavian Journal of Gastroenterology. 28(1). 69–72. 6 indexed citations
20.
Sim, Soyeong, et al.. (1989). The Action of Histamine on the Isolated Stomach Muscle of the Cat. Scandinavian Journal of Gastroenterology. 24(8). 961–968. 6 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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