Jae-Sung Yi

1.3k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Jae-Sung Yi is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jae-Sung Yi has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Oncology. Recurrent topics in Jae-Sung Yi's work include Protein Tyrosine Phosphatases (10 papers), Galectins and Cancer Biology (8 papers) and Peptidase Inhibition and Analysis (5 papers). Jae-Sung Yi is often cited by papers focused on Protein Tyrosine Phosphatases (10 papers), Galectins and Cancer Biology (8 papers) and Peptidase Inhibition and Analysis (5 papers). Jae-Sung Yi collaborates with scholars based in United States, Australia and Netherlands. Jae-Sung Yi's co-authors include Anton M. Bennett, Chaochun Liu, Richard I. Gregory, Amanda N. Kallen, Haifeng Zhang, Jie Xu, Lei Yan, Min Wang, Xiaobo Zhou and Yingqun Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jae-Sung Yi

12 papers receiving 1.1k citations

Hit Papers

The Imprinted H19 LncRNA Antagonizes Let-7 MicroRNAs 2013 2026 2017 2021 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae-Sung Yi United States 8 929 818 106 66 55 12 1.1k
Kar Lok Kong Hong Kong 7 725 0.8× 383 0.5× 56 0.5× 43 0.7× 122 2.2× 8 872
Renata Héžová Czechia 15 551 0.6× 430 0.5× 97 0.9× 29 0.4× 66 1.2× 23 794
Marion Stentrup Germany 1 1.2k 1.3× 1.2k 1.4× 51 0.5× 90 1.4× 50 0.9× 2 1.3k
Mohammadreza Hajjari Iran 12 755 0.8× 738 0.9× 19 0.2× 49 0.7× 52 0.9× 46 896
Hiroko Ogata‐Kawata Japan 9 800 0.9× 696 0.9× 67 0.6× 11 0.2× 81 1.5× 22 959
Victoria Villegas Colombia 11 480 0.5× 346 0.4× 37 0.3× 54 0.8× 104 1.9× 24 683
Shouzhen Wu China 12 516 0.6× 416 0.5× 171 1.6× 32 0.5× 107 1.9× 27 740

Countries citing papers authored by Jae-Sung Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Sung Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Sung Yi. 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 Jae-Sung Yi. The network helps show where Jae-Sung Yi may publish in the future.

Co-authorship network of co-authors of Jae-Sung Yi

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

All Works

12 of 12 papers shown
1.
Stiegler, Amy L., Jae-Sung Yi, Lei Zhang, et al.. (2025). SHP2 genetic variants in NSML-associated RASopathies disrupt the PZR–IRX transcription factor signaling axis. Proceedings of the National Academy of Sciences. 122(35). e2503631122–e2503631122. 3 indexed citations
2.
Qiu, Bin, et al.. (2023). Identification of Protein Tyrosine Phosphatase (PTP) Substrates. Methods in molecular biology. 2743. 123–133. 1 indexed citations
3.
Qiu, Bin, Ahmed Lawan, Chrysovalantou E. Xirouchaki, et al.. (2023). MKP1 promotes nonalcoholic steatohepatitis by suppressing AMPK activity through LKB1 nuclear retention. Nature Communications. 14(1). 5405–5405. 19 indexed citations
4.
Yi, Jae-Sung, et al.. (2022). An Assessment of the Therapeutic Landscape for the Treatment of Heart Disease in the RASopathies. Cardiovascular Drugs and Therapy. 37(6). 1193–1204. 5 indexed citations
5.
Yi, Jae-Sung, et al.. (2021). Low-dose Dasatinib Ameliorates Hypertrophic Cardiomyopathy in Noonan Syndrome with Multiple Lentigines. Cardiovascular Drugs and Therapy. 36(4). 589–604. 13 indexed citations
8.
Tzouvelekis, Argyrios, Guoying Yu, Christian L. Lino Cardenas, et al.. (2016). SH2 Domain–Containing Phosphatase-2 Is a Novel Antifibrotic Regulator in Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 195(4). 500–514. 41 indexed citations
9.
Yi, Jae-Sung, Ivana Y. Kuo, Barbara E. Ehrlich, et al.. (2016). Low-dose dasatinib rescues cardiac function in Noonan syndrome. JCI Insight. 1(20). e90220–e90220. 34 indexed citations
10.
Lee, Ho‐Jin, Jae-Sung Yi, Ahmed Lawan, Kisuk Min, & Anton M. Bennett. (2014). Mining the function of protein tyrosine phosphatases in health and disease. Seminars in Cell and Developmental Biology. 37. 66–72. 28 indexed citations
11.
Overman, Jeroen, Jae-Sung Yi, Monica Bonetti, et al.. (2014). PZR Coordinates Shp2 Noonan and LEOPARD Syndrome Signaling in Zebrafish and Mice. Molecular and Cellular Biology. 34(15). 2874–2889. 29 indexed citations
12.
Kallen, Amanda N., Xiaobo Zhou, Jie Xu, et al.. (2013). The Imprinted H19 LncRNA Antagonizes Let-7 MicroRNAs. Molecular Cell. 52(1). 101–112. 895 indexed citations breakdown →

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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