Sim Namkoong

2.3k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Sim Namkoong is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Sim Namkoong has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Sim Namkoong's work include RNA Research and Splicing (9 papers), RNA modifications and cancer (8 papers) and Autophagy in Disease and Therapy (8 papers). Sim Namkoong is often cited by papers focused on RNA Research and Splicing (9 papers), RNA modifications and cancer (8 papers) and Autophagy in Disease and Therapy (8 papers). Sim Namkoong collaborates with scholars based in South Korea, United States and Norway. Sim Namkoong's co-authors include Jun Hee Lee, Hojoong Kwak, Allison Ho, Samie R. Jaffrey, Brian F. Pickering, Ryan J. Ries, Pierre Klein, Deepak P. Patil, Sara Zaccara and Anthony O. Olarerin-George and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sim Namkoong

34 papers receiving 1.6k citations

Hit Papers

m6A enhances the phase separation potential of mRNA 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sim Namkoong South Korea 18 1.2k 255 215 138 129 35 1.6k
Laurent M. Dejean United States 22 1.3k 1.1× 158 0.6× 155 0.7× 91 0.7× 132 1.0× 38 1.8k
Tae Gyu Choi South Korea 19 638 0.5× 164 0.6× 238 1.1× 137 1.0× 139 1.1× 39 1.3k
Dan Tong China 24 1.4k 1.2× 181 0.7× 102 0.5× 68 0.5× 255 2.0× 46 2.5k
Harish C. Chandramoorthy Saudi Arabia 19 1.4k 1.2× 142 0.6× 240 1.1× 141 1.0× 267 2.1× 58 2.1k
Jinhua Wu United States 17 797 0.7× 155 0.6× 223 1.0× 78 0.6× 88 0.7× 43 1.3k
Hu‐Nan Sun China 20 783 0.6× 127 0.5× 164 0.8× 59 0.4× 79 0.6× 85 1.4k
Miran Jang South Korea 19 753 0.6× 272 1.1× 117 0.5× 90 0.7× 146 1.1× 76 1.5k
Yuanzhi Lao China 18 716 0.6× 217 0.9× 237 1.1× 82 0.6× 92 0.7× 30 1.1k
Lisa D. Marroquin United States 12 1.0k 0.8× 144 0.6× 112 0.5× 52 0.4× 129 1.0× 19 1.6k
Marcus Nordgren Belgium 12 1.0k 0.8× 110 0.4× 235 1.1× 66 0.5× 287 2.2× 15 1.5k

Countries citing papers authored by Sim Namkoong

Since Specialization
Citations

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

Fields of papers citing papers by Sim Namkoong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sim Namkoong

This figure shows the co-authorship network connecting the top 25 collaborators of Sim Namkoong. A scholar is included among the top collaborators of Sim Namkoong 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 Sim Namkoong. Sim Namkoong 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.
Moon, Sungjin, et al.. (2024). Targeting the NTF2-like domain of G3BP1: Novel modulators of intracellular granule dynamics. Biochemical and Biophysical Research Communications. 697. 149497–149497. 5 indexed citations
2.
Moon, Sungjin, et al.. (2024). Enhancement of Stress Granule Formation by a Chiral Compound Targeting G3BP1 via eIF2α Phosphorylation. International Journal of Molecular Sciences. 25(19). 10571–10571. 1 indexed citations
3.
Yoon, Jung-Hwan, et al.. (2024). Stakeholder analysis for effective implementation of water management system: Case of groundwater charge in South Korea. Heliyon. 10(3). e24699–e24699. 4 indexed citations
5.
Jung, Yongju, et al.. (2023). Impact of Climate Change on Waterborne Diseases: Directions towards Sustainability. Water. 15(7). 1298–1298. 15 indexed citations
6.
Park, Rackhyun, Minsu Jang, Yea–In Park, et al.. (2021). Elevated Levels of CTRP1 in Obesity Contribute to Tumor Progression in a p53-Dependent Manner. Cancers. 13(14). 3619–3619. 9 indexed citations
7.
Kowalsky, Allison H., Sim Namkoong, Hwan‐Woo Park, et al.. (2020). The GATOR2–mTORC2 axis mediates Sestrin2-induced AKT Ser/Thr kinase activation. Journal of Biological Chemistry. 295(7). 1769–1780. 46 indexed citations
8.
Jang, Minsu, Yea–In Park, Rackhyun Park, et al.. (2020). Tea Polyphenols EGCG and Theaflavin Inhibit the Activity of SARS‐CoV‐2 3CL‐Protease In Vitro. Evidence-based Complementary and Alternative Medicine. 2020(1). 5630838–5630838. 118 indexed citations
9.
Park, Yea–In, Minsu Jang, Rackhyun Park, et al.. (2020). The Flower Extract of Abelmoschus manihot (Linn.) Increases Cyclin D1 Expression and Activates Cell Proliferation. Journal of Microbiology and Biotechnology. 30(7). 1044–1050. 6 indexed citations
10.
Kim, Myungjin, Alyson Sujkowski, Sim Namkoong, et al.. (2020). Sestrins are evolutionarily conserved mediators of exercise benefits. Nature Communications. 11(1). 190–190. 88 indexed citations
11.
Ries, Ryan J., Sara Zaccara, Pierre Klein, et al.. (2019). m6A enhances the phase separation potential of mRNA. Nature. 571(7765). 424–428. 517 indexed citations breakdown →
12.
Cho, Chun‐Seok, Allison H. Kowalsky, Sim Namkoong, et al.. (2019). Concurrent activation of growth factor and nutrient arms of mTORC1 induces oxidative liver injury. Cell Discovery. 5(1). 60–60. 16 indexed citations
13.
Liu, Xu, Zhiyuan Yao, Meiyan Jin, et al.. (2019). Dhh1 promotes autophagy-related protein translation during nitrogen starvation. PLoS Biology. 17(4). e3000219–e3000219. 28 indexed citations
14.
Woo, Yu Mi, et al.. (2018). TED-Seq Identifies the Dynamics of Poly(A) Length during ER Stress. Cell Reports. 24(13). 3630–3641.e7. 37 indexed citations
15.
Jang, Minsu, Rackhyun Park, Hyun-Ju Kim, et al.. (2018). AMPK contributes to autophagosome maturation and lysosomal fusion. Scientific Reports. 8(1). 12637–12637. 106 indexed citations
16.
Ro, Seung‐Hyun, Xiang Xue, Sadeesh K. Ramakrishnan, et al.. (2016). Tumor suppressive role of sestrin2 during colitis and colon carcinogenesis. eLife. 5. e12204–e12204. 74 indexed citations
17.
Kim, Hyun-Ju, Kang Il Lee, Minsu Jang, et al.. (2016). Conessine Interferes with Oxidative Stress-Induced C2C12 Myoblast Cell Death through Inhibition of Autophagic Flux. PLoS ONE. 11(6). e0157096–e0157096. 10 indexed citations
18.
Park, Rackhyun, et al.. (2015). Measurement of Antibodies to Varicella-Zoster Virus Using a Virus-Free Fluorescent-Antibody-to-Membrane-Antigen (FAMA) Test. Journal of Microbiology and Biotechnology. 25(2). 268–273. 8 indexed citations
19.
Ryu, Hyun-Wook, et al.. (2014). Simulated Microgravity Contributes to Autophagy Induction by Regulating AMP-Activated Protein Kinase. DNA and Cell Biology. 33(3). 128–135. 21 indexed citations
20.
Namkoong, Sim, Eun‐Ju Lee, Ik‐Soon Jang, & Junsoo Park. (2012). Elevated level of human RPA interacting protein α (hRIPα) in cervical tumor cells is involved in cell proliferation through regulating RPA transport. FEBS Letters. 586(20). 3753–3760. 1 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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