Sun-Ju Yi

1.5k total citations · 1 hit paper
36 papers, 1.1k citations indexed

About

Sun-Ju Yi is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sun-Ju Yi has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sun-Ju Yi's work include Bone Metabolism and Diseases (7 papers), Epigenetics and DNA Methylation (7 papers) and Blood properties and coagulation (5 papers). Sun-Ju Yi is often cited by papers focused on Bone Metabolism and Diseases (7 papers), Epigenetics and DNA Methylation (7 papers) and Blood properties and coagulation (5 papers). Sun-Ju Yi collaborates with scholars based in South Korea, United States and Australia. Sun-Ju Yi's co-authors include Kyunghwan Kim, John Groffen, Nora Heisterkamp, Kyubin Lee, Wei Shi, Dapeng Gong, Hui Chen, Jisu Park, Hye-Rim Lee and Young‐Myeong Kim and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Sun-Ju Yi

34 papers receiving 1.1k citations

Hit Papers

The role of histone modifications: from neurodevelopment ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun-Ju Yi South Korea 16 577 218 149 135 129 36 1.1k
Yongliang Liu China 15 554 1.0× 184 0.8× 190 1.3× 97 0.7× 145 1.1× 49 1.1k
Mario C. Rico United States 20 602 1.0× 178 0.8× 182 1.2× 66 0.5× 80 0.6× 42 1.3k
Ulrike Baschant Germany 20 468 0.8× 291 1.3× 250 1.7× 90 0.7× 123 1.0× 39 1.2k
Caterina Crescimanno Italy 22 345 0.6× 188 0.9× 91 0.6× 122 0.9× 119 0.9× 49 1.2k
Anny‐Claude Luissint United States 13 362 0.6× 207 0.9× 143 1.0× 60 0.4× 77 0.6× 22 1.1k
Laurent Cronier France 26 1.1k 2.0× 205 0.9× 91 0.6× 148 1.1× 125 1.0× 54 1.7k
Veela B. Mehta United States 18 691 1.2× 360 1.7× 224 1.5× 105 0.8× 106 0.8× 21 1.5k
Weina Li China 20 617 1.1× 261 1.2× 229 1.5× 106 0.8× 349 2.7× 79 1.3k
Sonja Vermeren United Kingdom 17 605 1.0× 421 1.9× 132 0.9× 91 0.7× 91 0.7× 28 1.5k
Hiroaki Mitsuhashi Japan 21 614 1.1× 148 0.7× 72 0.5× 191 1.4× 100 0.8× 55 1.1k

Countries citing papers authored by Sun-Ju Yi

Since Specialization
Citations

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

Fields of papers citing papers by Sun-Ju Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun-Ju Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Sun-Ju Yi. A scholar is included among the top collaborators of Sun-Ju 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 Sun-Ju Yi. Sun-Ju Yi 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.
Lee, Hye-Rim, et al.. (2025). Adaptation responses to salt stress in the gut of Poecilia reticulata. Animal Cells and Systems. 29(1). 84–99. 1 indexed citations
2.
Yi, Sun-Ju, et al.. (2024). Exploring epigenetic strategies for the treatment of osteoporosis. Molecular Biology Reports. 51(1). 398–398. 4 indexed citations
3.
Lee, Hye-Rim, Kyubin Lee, Hye‐Jung Kim, et al.. (2024). Denatonium inhibits RANKL-induced osteoclast differentiation and rescues the osteoporotic phenotype by blocking p65 signaling pathway. Molecular Medicine. 30(1). 248–248. 2 indexed citations
5.
Lee, Kyubin, et al.. (2023). Dimethyl alpha-ketoglutarate inhibits proliferation in diffuse intrinsic pontine glioma by reprogramming epigenetic and transcriptional networks. Biochemical and Biophysical Research Communications. 677. 6–12. 2 indexed citations
6.
Park, Jisu, Kyubin Lee, Kyunghwan Kim, & Sun-Ju Yi. (2022). The role of histone modifications: from neurodevelopment to neurodiseases. Signal Transduction and Targeted Therapy. 7(1). 217–217. 167 indexed citations breakdown →
7.
Kim, Junil, Hye-Rim Lee, Sun-Ju Yi, & Kyunghwan Kim. (2022). Gene regulation by histone-modifying enzymes under hypoxic conditions: a focus on histone methylation and acetylation. Experimental & Molecular Medicine. 54(7). 878–889. 50 indexed citations
8.
Yi, Sun-Ju, Hye‐Jung Kim, Kyubin Lee, et al.. (2021). The KDM4B–CCAR1–MED1 axis is a critical regulator of osteoclast differentiation and bone homeostasis. Bone Research. 9(1). 27–27. 27 indexed citations
9.
10.
Kim, Jin‐Man, Hye-Rim Lee, Woo‐Ri Shin, et al.. (2019). Tetracycline Analogs Inhibit Osteoclast Differentiation by Suppressing MMP-9-Mediated Histone H3 Cleavage. International Journal of Molecular Sciences. 20(16). 4038–4038. 39 indexed citations
11.
Yi, Sun-Ju, et al.. (2013). Functional roles of BCAR3 in the signaling pathways of insulin leading to DNA synthesis, membrane ruffling and GLUT4 translocation. Biochemical and Biophysical Research Communications. 441(4). 911–916. 8 indexed citations
12.
Gong, Dapeng, Wei Shi, Sun-Ju Yi, et al.. (2012). TGFβ signaling plays a critical role in promoting alternative macrophage activation. BMC Immunology. 13(1). 31–31. 321 indexed citations
13.
Feldhahn, Niklas, Anna Arutyunyan, Bin Zhang, et al.. (2012). Environment-mediated drug resistance in Bcr/Abl-positive acute lymphoblastic leukemia. OncoImmunology. 1(5). 618–629. 17 indexed citations
14.
Yi, Sun-Ju, John Groffen, & Nora Heisterkamp. (2011). Bcr is a substrate for Transglutaminase 2 cross-linking activity. BMC Biochemistry. 12(1). 8–8. 5 indexed citations
15.
Yi, Sun-Ju, John Groffen, & Nora Heisterkamp. (2009). Transglutaminase 2 Regulates the GTPase-activating Activity of Bcr. Journal of Biological Chemistry. 284(51). 35645–35651. 11 indexed citations
16.
Yoo, Je‐Ok, Sun-Ju Yi, Hyun Jung Choi, et al.. (2005). Regulation of tissue transglutaminase by prolonged increase of intracellular Ca2+, but not by initial peak of transient Ca2+ increase. Biochemical and Biophysical Research Communications. 337(2). 655–662. 14 indexed citations
17.
Yi, Sun-Ju & Byung H. Jhun. (2004). Ethanol Impairs Insulin's Actions Through Phosphatidylinositol 3-Kinase. Journal of Medicinal Food. 7(1). 24–30. 3 indexed citations
18.
Kweon, Soo-Mi, Zee‐Won Lee, Sun-Ju Yi, et al.. (2004). Protective Role of Tissue Transglutaminase in the Cell Death Induced by TNF-α in SH-SY5Y Neuroblastoma Cells. BMB Reports. 37(2). 185–191. 19 indexed citations
19.
Park, Kun‐Young, Eun Ju Cho, Sook‐Hee Rhee, et al.. (2003). Kimchi and an Active Component, β-Sitosterol, Reduce Oncogenic H-Ras v12 -Induced DNA Synthesis. Journal of Medicinal Food. 6(3). 151–156. 23 indexed citations
20.
Lee, Zee‐Won, et al.. (2003). Activation of in situ tissue transglutaminase by intracellular reactive oxygen species. Biochemical and Biophysical Research Communications. 305(3). 633–640. 60 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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