Jungsul Lee

1.7k total citations
54 papers, 1.2k citations indexed

About

Jungsul Lee is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jungsul Lee has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Jungsul Lee's work include Bioinformatics and Genomic Networks (6 papers), Optical Imaging and Spectroscopy Techniques (6 papers) and Ubiquitin and proteasome pathways (5 papers). Jungsul Lee is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Optical Imaging and Spectroscopy Techniques (6 papers) and Ubiquitin and proteasome pathways (5 papers). Jungsul Lee collaborates with scholars based in South Korea, United States and Latvia. Jungsul Lee's co-authors include Chulhee Choi, Junseong Park, Jungwhoi Lee, Jae Hoon Kim, Kyungsun Choi, Yujung Kang, Kihwan Kwon, Mi‐Young Kim, Seung Jun Kim and Eui‐Cheol Shin and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cancer Research.

In The Last Decade

Jungsul Lee

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jungsul Lee South Korea 20 646 204 190 141 129 54 1.2k
Simona Delle Monache Italy 28 682 1.1× 198 1.0× 233 1.2× 100 0.7× 114 0.9× 54 1.7k
Arnaud Monvoisin France 21 781 1.2× 263 1.3× 313 1.6× 192 1.4× 113 0.9× 31 1.6k
Jung Min Ryu South Korea 28 922 1.4× 143 0.7× 209 1.1× 187 1.3× 224 1.7× 56 1.7k
Hui Hua China 17 582 0.9× 209 1.0× 345 1.8× 98 0.7× 72 0.6× 47 1.2k
Hongwei Lü China 23 814 1.3× 191 0.9× 311 1.6× 144 1.0× 215 1.7× 106 1.7k
Amalia Luce Italy 18 585 0.9× 252 1.2× 303 1.6× 92 0.7× 113 0.9× 42 1.2k
Xia Zhao China 22 814 1.3× 293 1.4× 218 1.1× 273 1.9× 133 1.0× 99 1.5k
Khanh T. Nguyen United States 17 607 0.9× 200 1.0× 164 0.9× 105 0.7× 171 1.3× 40 1.4k
Simone Polvani Italy 19 950 1.5× 173 0.8× 212 1.1× 85 0.6× 86 0.7× 38 1.4k
Katarzyna Pietraszek‐Gremplewicz Poland 18 595 0.9× 161 0.8× 250 1.3× 95 0.7× 195 1.5× 29 1.2k

Countries citing papers authored by Jungsul Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jungsul Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jungsul Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jungsul Lee. A scholar is included among the top collaborators of Jungsul Lee 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 Jungsul Lee. Jungsul Lee 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.
Han, Heonjong, Go Hun Seo, Kisang Kwon, et al.. (2025). Exome sequencing of 18,994 ethnically diverse patients with suspected rare Mendelian disorders. npj Genomic Medicine. 10(1). 6–6. 2 indexed citations
2.
Lee, Jungwhoi, et al.. (2025). 2-Methoxy-4-vinylphenol mitigates malignancy of cholangiocarcinoma cells through the blockade of sonic hedgehog signalling. Biochemical and Biophysical Research Communications. 754. 151515–151515. 2 indexed citations
3.
Lee, Jungwhoi, et al.. (2024). VSTM2L is a promising therapeutic target and a prognostic soluble-biomarker in cholangiocarcinoma. BMB Reports. 57(7). 324–329. 1 indexed citations
4.
Kwon, Taek Hyun, et al.. (2023). Fibronectin Type III Domain Containing 3B as a Potential Prognostic and Therapeutic Biomarker for Glioblastoma. Biomedicines. 11(12). 3168–3168. 5 indexed citations
5.
Lee, Jungwhoi, et al.. (2022). An in vitro evaluation of luffa cylindrica stem sap in preadipocytes and dermal fibroblasts. Biochemical and Biophysical Research Communications. 599. 100–105. 3 indexed citations
6.
Lee, Heejin, Jun Woo Kim, Jun Woo Kim, et al.. (2020). Calcium Channels as Novel Therapeutic Targets for Ovarian Cancer Stem Cells. International Journal of Molecular Sciences. 21(7). 2327–2327. 51 indexed citations
7.
Seo, Go Hun, Tae Ho Kim, In Hee Choi, et al.. (2020). Diagnostic yield and clinical utility of whole exome sequencing using an automated variant prioritization system, EVIDENCE. Clinical Genetics. 98(6). 562–570. 92 indexed citations
8.
Lee, Jungwhoi, Jungwhoi Lee, Jungsul Lee, Jungsul Lee, & Jae-Hoon Kim. (2019). Scattered DUSP28 is a novel biomarker responsible for aggravating malignancy via the autocrine and paracrine signaling in metastatic pancreatic cancer. Cancer Letters. 456. 1–12. 3 indexed citations
9.
Lee, Jungwhoi, Jungsul Lee, & Jae Hoon Kim. (2019). Identification of Matrix Metalloproteinase 11 as a Prognostic Biomarker in Pancreatic Cancer. Anticancer Research. 39(11). 5963–5971. 21 indexed citations
10.
Lee, Jungwhoi, et al.. (2018). Fermented Extraction of Citrus unshiu Peel Inhibits Viability and Migration of Human Pancreatic Cancers. Journal of Medicinal Food. 21(1). 5–12. 24 indexed citations
11.
Lee, Jungsul, et al.. (2017). Robust method for identification of prognostic gene signatures from gene expression profiles. Scientific Reports. 7(1). 16926–16926. 7 indexed citations
12.
13.
Li, Zheng, Seung‐Wook Ryu, Jungsul Lee, et al.. (2016). Protopanaxatirol type ginsenoside Re promotes cyclic growth of hair follicles via inhibiting transforming growth factor β signaling cascades. Biochemical and Biophysical Research Communications. 470(4). 924–929. 20 indexed citations
14.
Lee, Jungwhoi, et al.. (2016). DUSP28 links regulation of Mucin 5B and Mucin 16 to migration and survival of AsPC-1 human pancreatic cancer cells. Tumor Biology. 37(9). 12193–12202. 19 indexed citations
15.
Lee, Jungwhoi, Jungsul Lee, Seung Jun Kim, & Jae Hoon Kim. (2016). Quercetin-3-O-glucoside suppresses pancreatic cancer cell migration induced by tumor-deteriorated growth factors in vitro. Oncology Reports. 35(4). 2473–2479. 41 indexed citations
16.
Lee, Jungsul, Junseong Park, & Chulhee Choi. (2014). Identification of phenotype deterministic genes using systemic analysis of transcriptional response. Scientific Reports. 4(1). 4413–4413. 4 indexed citations
17.
Park, Junseong, et al.. (2013). TGF-β1 and hypoxia-dependent expression of MKP-1 leads tumor resistance to death receptor-mediated cell death. Cell Death and Disease. 4(2). e521–e521. 16 indexed citations
18.
Lee, Jungsul, Kyungsun Choi, & Chulhee Choi. (2009). Delineating role of ubiquitination on nuclear factor-kappa B pathway by a computational modeling approach. Biochemical and Biophysical Research Communications. 391(1). 33–37. 5 indexed citations
19.
Kang, Yujung, Myunghwan Choi, Jungsul Lee, et al.. (2009). Quantitative Analysis of Peripheral Tissue Perfusion Using Spatiotemporal Molecular Dynamics. PLoS ONE. 4(1). e4275–e4275. 42 indexed citations
20.
Choi, Kyungsun, Jungsul Lee, & Chulhee Choi. (2007). Divergent effect of proteasome inhibition on interleukin‐1β and tumor necrosis factor α signaling in human astroglial cells. FEBS Letters. 581(24). 4691–4696. 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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