Eunsohl Lee

1.1k total citations
12 papers, 876 citations indexed

About

Eunsohl Lee is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Eunsohl Lee has authored 12 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Eunsohl Lee's work include Phagocytosis and Immune Regulation (4 papers), Chemokine receptors and signaling (4 papers) and Immunotherapy and Immune Responses (3 papers). Eunsohl Lee is often cited by papers focused on Phagocytosis and Immune Regulation (4 papers), Chemokine receptors and signaling (4 papers) and Immunotherapy and Immune Responses (3 papers). Eunsohl Lee collaborates with scholars based in United States, Belgium and South Korea. Eunsohl Lee's co-authors include Russell S. Taichman, Jingcheng Wang, Younghun Jung, Frank C. Cackowski, Kenji Yumoto, Ann M. Decker, Kenneth J. Pienta, Yusuke Shiozawa, Janice E. Berry and Samantha McGee and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Eunsohl Lee

12 papers receiving 867 citations

Peers

Eunsohl Lee
Stephen B. Keysar United States
Urszula M. Polanska United Kingdom
Madelon Paauwe Netherlands
Rindert Missiaen United States
Samantha McGee United States
Stephen B. Keysar United States
Eunsohl Lee
Citations per year, relative to Eunsohl Lee Eunsohl Lee (= 1×) peers Stephen B. Keysar

Countries citing papers authored by Eunsohl Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eunsohl Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunsohl Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Eunsohl Lee. A scholar is included among the top collaborators of Eunsohl 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 Eunsohl Lee. Eunsohl Lee 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.
Jung, Younghun, Frank C. Cackowski, Kenji Yumoto, et al.. (2020). Abscisic acid regulates dormancy of prostate cancer disseminated tumor cells in the bone marrow. Neoplasia. 23(1). 102–111. 21 indexed citations
2.
Jung, Younghun, Jin Koo Kim, Eunsohl Lee, et al.. (2020). CXCL12γ induces human prostate and mammary gland development. The Prostate. 80(13). 1145–1156. 6 indexed citations
3.
Jung, Younghun, Frank C. Cackowski, Kenji Yumoto, et al.. (2018). CXCL12γ Promotes Metastatic Castration-Resistant Prostate Cancer by Inducing Cancer Stem Cell and Neuroendocrine Phenotypes. Cancer Research. 78(8). 2026–2039. 42 indexed citations
4.
Lee, Eunsohl, Jingcheng Wang, Younghun Jung, Frank C. Cackowski, & Russell S. Taichman. (2017). Reduction of two histone marks, H3k9me3 and H3k27me3 by epidrug induces neuroendocrine differentiation in prostate cancer. Journal of Cellular Biochemistry. 119(4). 3697–3705. 14 indexed citations
5.
Cackowski, Frank C., Matthew R. Eber, James A. Van Rhee, et al.. (2016). Mer Tyrosine Kinase Regulates Disseminated Prostate Cancer Cellular Dormancy. Journal of Cellular Biochemistry. 118(4). 891–902. 66 indexed citations
6.
Yumoto, Kenji, Matthew R. Eber, Jingcheng Wang, et al.. (2016). Axl is required for TGF-β2-induced dormancy of prostate cancer cells in the bone marrow. Scientific Reports. 6(1). 36520–36520. 127 indexed citations
7.
Lee, Eunsohl, Ann M. Decker, Frank C. Cackowski, et al.. (2016). Growth Arrest‐Specific 6 (GAS6) Promotes Prostate Cancer Survival by G1 Arrest/S Phase Delay and Inhibition of Apoptosis During Chemotherapy in Bone Marrow. Journal of Cellular Biochemistry. 117(12). 2815–2824. 22 indexed citations
8.
Lee, Eunsohl, Jingcheng Wang, Kenji Yumoto, et al.. (2016). DNMT1 Regulates Epithelial-Mesenchymal Transition and Cancer Stem Cells, Which Promotes Prostate Cancer Metastasis. Neoplasia. 18(9). 553–566. 115 indexed citations
9.
Shiozawa, Yusuke, Janice E. Berry, Matthew R. Eber, et al.. (2016). The marrow niche controls the cancer stem cell phenotype of disseminated prostate cancer. Oncotarget. 7(27). 41217–41232. 56 indexed citations
10.
Jung, Younghun, Ann M. Decker, Jingcheng Wang, et al.. (2016). Endogenous GAS6 and Mer receptor signaling regulate prostate cancer stem cells in bone marrow. Oncotarget. 7(18). 25698–25711. 30 indexed citations
11.
Jung, Younghun, Jingcheng Wang, Eunsohl Lee, et al.. (2014). Annexin 2–CXCL12 Interactions Regulate Metastatic Cell Targeting and Growth in the Bone Marrow. Molecular Cancer Research. 13(1). 197–207. 37 indexed citations
12.
Jung, Younghun, Jin Koo Kim, Yusuke Shiozawa, et al.. (2013). Recruitment of mesenchymal stem cells into prostate tumours promotes metastasis. Nature Communications. 4(1). 1795–1795. 340 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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