Sookil Tae

524 total citations
9 papers, 414 citations indexed

About

Sookil Tae is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Cell Biology. According to data from OpenAlex, Sookil Tae has authored 9 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Endocrine and Autonomic Systems and 1 paper in Cell Biology. Recurrent topics in Sookil Tae's work include Cancer-related gene regulation (6 papers), Epigenetics and DNA Methylation (5 papers) and Protein Degradation and Inhibitors (3 papers). Sookil Tae is often cited by papers focused on Cancer-related gene regulation (6 papers), Epigenetics and DNA Methylation (5 papers) and Protein Degradation and Inhibitors (3 papers). Sookil Tae collaborates with scholars based in United States, Italy and South Korea. Sookil Tae's co-authors include Saı̈d Sif, Vrajesh Karkhanis, Anthony N. Imbalzano, Yujie Hu, Fengting Yan, Robert A. Baiocchi, Kevin Velasco, Hediye Erdjument‐Bromage, Paul Tempst and Mariana Yaneva and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

In The Last Decade

Sookil Tae

9 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sookil Tae United States 7 359 35 28 23 20 9 414
Alisha Dhiman United States 10 209 0.6× 36 1.0× 12 0.4× 18 0.8× 19 0.9× 15 263
Patrick Kellish United States 8 149 0.4× 50 1.4× 18 0.6× 13 0.6× 14 0.7× 13 218
Sangeeta Jayakar United States 5 98 0.3× 35 1.0× 6 0.2× 12 0.5× 35 1.8× 6 161
Dmitri Smirnov United States 7 161 0.4× 41 1.2× 17 0.6× 171 7.4× 14 0.7× 10 318
Scott A. Hoose United States 10 219 0.6× 15 0.4× 19 0.7× 127 5.5× 16 0.8× 12 375
Congle Shen China 10 218 0.6× 34 1.0× 14 0.5× 29 1.3× 84 4.2× 13 338
Marc Botcherby United Kingdom 8 107 0.3× 27 0.8× 16 0.6× 30 1.3× 15 0.8× 13 256
Vivek Tripathi India 10 316 0.9× 94 2.7× 4 0.1× 16 0.7× 56 2.8× 24 395
Victoria Tripple United States 8 141 0.4× 15 0.4× 10 0.4× 104 4.5× 17 0.8× 9 310
Khaja K. Rehman United States 7 122 0.3× 22 0.6× 15 0.5× 52 2.3× 24 1.2× 9 346

Countries citing papers authored by Sookil Tae

Since Specialization
Citations

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

Fields of papers citing papers by Sookil Tae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sookil Tae

This figure shows the co-authorship network connecting the top 25 collaborators of Sookil Tae. A scholar is included among the top collaborators of Sookil Tae 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 Sookil Tae. Sookil Tae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Lee, Kyung‐Ha, Sookil Tae, Seokjin Ham, et al.. (2020). hnRNP K Supports High-Amplitude D Site-Binding Protein mRNA (Dbp mRNA) Oscillation To Sustain Circadian Rhythms. Molecular and Cellular Biology. 40(6). 7 indexed citations
2.
Lee, Jaewook, Yae Jin Yoon, Ji Hyun Kim, et al.. (2018). Outer Membrane Vesicles Derived From Escherichia coli Regulate Neutrophil Migration by Induction of Endothelial IL-8. Frontiers in Microbiology. 9. 2268–2268. 54 indexed citations
3.
Tae, Sookil, Yun-Joo Koh, Young Ho Yoon, et al.. (2014). Simultaneous Determination of Five Porphyrins in Human Urine and Plasma Using High Performance Liquid Chromatography-Tandem Mass Spectrometry. 5(2). 42–48. 2 indexed citations
4.
Nicholas, Courtney, Jennifer Yang, Sara Peters, et al.. (2013). PRMT5 Is Upregulated in Malignant and Metastatic Melanoma and Regulates Expression of MITF and p27Kip1. PLoS ONE. 8(9). e74710–e74710. 71 indexed citations
5.
Karkhanis, Vrajesh, Sookil Tae, Fengting Yan, et al.. (2013). Protein Arginine Methyltransferase 5 (PRMT5) Inhibition Induces Lymphoma Cell Death through Reactivation of the Retinoblastoma Tumor Suppressor Pathway and Polycomb Repressor Complex 2 (PRC2) Silencing. Journal of Biological Chemistry. 288(49). 35534–35547. 73 indexed citations
6.
Karkhanis, Vrajesh, et al.. (2012). Protein Arginine Methyltransferase 7 Regulates Cellular Response to DNA Damage by Methylating Promoter Histones H2A and H4 of the Polymerase δ Catalytic Subunit Gene, POLD1. Journal of Biological Chemistry. 287(35). 29801–29814. 98 indexed citations
7.
Tae, Sookil, Vrajesh Karkhanis, Kevin Velasco, et al.. (2011). Bromodomain protein 7 interacts with PRMT5 and PRC2, and is involved in transcriptional repression of their target genes. Nucleic Acids Research. 39(13). 5424–5438. 72 indexed citations
8.
Yan, Fengting, Porsha Smith, Lapo Alinari, et al.. (2011). Developing a Novel Class of Drug to Inhibit Protein Arginine Methyltransferase 5 (PRMT5) Enzyme Dysregulation in Mantle Cell Lymphoma. Blood. 118(21). 595–595. 2 indexed citations
9.
Mallappa, Chandrashekara, et al.. (2010). The expression of myogenic microRNAs indirectly requires protein arginine methyltransferase (Prmt)5 but directly requires Prmt4. Nucleic Acids Research. 39(4). 1243–1255. 35 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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