Jaebon Lee

414 total citations
8 papers, 301 citations indexed

About

Jaebon Lee is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jaebon Lee has authored 8 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jaebon Lee's work include Ferroptosis and cancer prognosis (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Ubiquitin and proteasome pathways (2 papers). Jaebon Lee is often cited by papers focused on Ferroptosis and cancer prognosis (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Ubiquitin and proteasome pathways (2 papers). Jaebon Lee collaborates with scholars based in South Korea, United States and Canada. Jaebon Lee's co-authors include Jae Won Yun, Jun‐Kyu Byun, Yeon‐Kyung Choi, Keun‐Gyu Park, Seunghyeong Lee, Sung Jin Cho, In‐Kyu Lee, Yu Rim Lee, Soo Young Park and Im‐Sook Song and has published in prestigious journals such as Molecular Cell, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Jaebon Lee

8 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaebon Lee South Korea 6 167 160 78 72 62 8 301
Charline Degavre Belgium 5 173 1.0× 154 1.0× 61 0.8× 41 0.6× 74 1.2× 7 317
Liwei Xiao China 5 244 1.5× 198 1.2× 35 0.4× 128 1.8× 88 1.4× 7 434
Shijia Yan China 7 250 1.5× 150 0.9× 36 0.5× 71 1.0× 66 1.1× 9 348
Zehua Ma China 8 162 1.0× 124 0.8× 102 1.3× 47 0.7× 83 1.3× 13 311
Yingqian Chen China 8 211 1.3× 74 0.5× 79 1.0× 64 0.9× 99 1.6× 10 323
Michael D. Arensman United States 5 227 1.4× 115 0.7× 68 0.9× 47 0.7× 93 1.5× 8 332
Katarzyna J. Nytko Switzerland 9 175 1.0× 161 1.0× 47 0.6× 19 0.3× 44 0.7× 17 333
Lu-Hai Wang Taiwan 9 237 1.4× 134 0.8× 39 0.5× 156 2.2× 185 3.0× 11 460
Winter Zhang United States 5 171 1.0× 102 0.6× 64 0.8× 23 0.3× 69 1.1× 8 246
Е. В. Кайгородова Russia 11 122 0.7× 87 0.5× 45 0.6× 46 0.6× 189 3.0× 41 333

Countries citing papers authored by Jaebon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jaebon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaebon Lee

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

All Works

8 of 8 papers shown
1.
Jin, Jonghwa, Jaebon Lee, Jae Won Yun, et al.. (2024). Targeting YAP Activity and Glutamine Metabolism Cooperatively Suppresses Tumor Progression by Preventing Extracellular Matrix Accumulation. Cancer Research. 84(20). 3388–3401. 7 indexed citations
2.
Kim, Dongho, Jonghwa Jin, Daehoon Kim, et al.. (2024). Glutamine-derived aspartate is required for eIF5A hypusination-mediated translation of HIF-1α to induce the polarization of tumor-associated macrophages. Experimental & Molecular Medicine. 56(5). 1123–1136. 8 indexed citations
3.
Lee, Jaebon, et al.. (2024). Unveiling Prognostic RNA Biomarkers through a Multi-Cohort Study in Colorectal Cancer. International Journal of Molecular Sciences. 25(6). 3317–3317. 3 indexed citations
4.
Lee, Jaebon, Joon‐Yong Chung, Hyosun Kim, et al.. (2023). VGLL3 expression is associated with macrophage infiltration and predicts poor prognosis in epithelial ovarian cancer. Frontiers in Oncology. 13. 1152991–1152991. 2 indexed citations
5.
Kim, Dongho, Mi Jin Kim, Nayoung Kim, et al.. (2022). DN200434, an orally available inverse agonist of estrogen-related receptor γ, induces ferroptosis in sorafenib-resistant hepatocellular carcinoma. BMB Reports. 55(11). 547–552. 14 indexed citations
6.
Byun, Jun‐Kyu, Seunghyeong Lee, Gilwon Kang, et al.. (2022). Macropinocytosis is an alternative pathway of cysteine acquisition and mitigates sorafenib-induced ferroptosis in hepatocellular carcinoma. Journal of Experimental & Clinical Cancer Research. 41(1). 98–98. 79 indexed citations
7.
Byun, Jun‐Kyu, Seunghyeong Lee, Jae Won Yun, et al.. (2020). Inhibition of Glutamine Utilization Synergizes with Immune Checkpoint Inhibitor to Promote Antitumor Immunity. Molecular Cell. 80(4). 592–606.e8. 159 indexed citations
8.
Byun, Jun‐Kyu, Jae Won Yun, Jaebon Lee, et al.. (2019). Oncogenic KRAS signaling activates mTORC1 through COUP‐TFII‐mediated lactate production. EMBO Reports. 20(6). 29 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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