Kyung‐min Lee

3.5k total citations · 1 hit paper
58 papers, 2.2k citations indexed

About

Kyung‐min Lee is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kyung‐min Lee has authored 58 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Kyung‐min Lee's work include Cancer Cells and Metastasis (7 papers), Cancer-related Molecular Pathways (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Kyung‐min Lee is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Cancer-related Molecular Pathways (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Kyung‐min Lee collaborates with scholars based in South Korea, United States and Spain. Kyung‐min Lee's co-authors include Incheol Shin, Kyungmin Lee, Yong‐Ku Kim, Hee‐Jung Cho, Carlos L. Arteaga, Sunhwa Oh, Dong Sun Kim, KeeSoo Nam, Melinda E. Sanders and Violeta Sánchez and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Cell.

In The Last Decade

Kyung‐min Lee

56 papers receiving 2.2k citations

Hit Papers

MYC and MCL1 Cooperatively Promote Chemotherapy-Resistant... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyung‐min Lee South Korea 23 1.1k 622 515 415 295 58 2.2k
Rossano Lattanzio Italy 29 1.3k 1.2× 959 1.5× 436 0.8× 369 0.9× 290 1.0× 83 2.7k
Cong Cao China 33 2.1k 2.0× 377 0.6× 673 1.3× 209 0.5× 236 0.8× 103 3.5k
Junhua Yang United States 29 1.6k 1.5× 678 1.1× 300 0.6× 230 0.6× 179 0.6× 80 2.8k
Christoph Harms Germany 34 1.6k 1.6× 415 0.7× 261 0.5× 287 0.7× 138 0.5× 80 3.3k
Vincent Bérézowski France 25 880 0.8× 514 0.8× 280 0.5× 244 0.6× 83 0.3× 49 2.5k
Nuray Erin Türkiye 25 1.0k 1.0× 539 0.9× 304 0.6× 153 0.4× 246 0.8× 81 2.3k
Ji Hae Seo South Korea 29 1.4k 1.3× 406 0.7× 317 0.6× 245 0.6× 148 0.5× 87 2.7k
Xiaohui Wang China 29 1.5k 1.5× 448 0.7× 956 1.9× 162 0.4× 253 0.9× 133 3.0k
Chu Chang Chua United States 29 1.6k 1.5× 337 0.5× 362 0.7× 555 1.3× 183 0.6× 48 3.3k
Kerry S. Russell United States 27 1.4k 1.4× 516 0.8× 209 0.4× 704 1.7× 229 0.8× 43 3.6k

Countries citing papers authored by Kyung‐min Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyung‐min Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyung‐min Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐min Lee. A scholar is included among the top collaborators of Kyung‐min 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 Kyung‐min Lee. Kyung‐min 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
2.
Kim, Gun Min, Fabiana Napolitano, Chang‐Ching Lin, et al.. (2024). Combined inhibition of CDK4/6 and AKT is highly effective against the luminal androgen receptor (LAR) subtype of triple negative breast cancer. Cancer Letters. 604. 217219–217219. 3 indexed citations
3.
Son, Seogho, et al.. (2023). CCN3/NOV promotes metastasis and tumor progression via GPNMB-induced EGFR activation in triple-negative breast cancer. Cell Death and Disease. 14(2). 81–81. 15 indexed citations
4.
Hwang, Ji Young, et al.. (2022). Humoral and Cellular Responses to COVID-19 Vaccines in SARS-CoV-2 Infection-Naïve and -Recovered Korean Individuals. Vaccines. 10(2). 332–332. 8 indexed citations
5.
Servetto, Alberto, Rahul K. Kollipara, Luigi Formisano, et al.. (2021). Nuclear FGFR1 Regulates Gene Transcription and Promotes Antiestrogen Resistance in ER+ Breast Cancer. Clinical Cancer Research. 27(15). 4379–4396. 44 indexed citations
6.
Hanker, Ariella B., Benjamin P. Brown, Jens Meiler, et al.. (2021). Co-occurring gain-of-function mutations in HER2 and HER3 modulate HER2/HER3 activation, oncogenesis, and HER2 inhibitor sensitivity. Cancer Cell. 39(8). 1099–1114.e8. 53 indexed citations
7.
Jansen, Valerie M., Neil E. Bhola, Joshua A. Bauer, et al.. (2017). Kinome-Wide RNA Interference Screen Reveals a Role for PDK1 in Acquired Resistance to CDK4/6 Inhibition in ER-Positive Breast Cancer. Cancer Research. 77(9). 2488–2499. 171 indexed citations
8.
Croessmann, Sarah, Jonathan H. Sheehan, Kyung‐min Lee, et al.. (2017). PIK3CA C2 Domain Deletions Hyperactivate Phosphoinositide 3-kinase (PI3K), Generate Oncogene Dependence, and Are Exquisitely Sensitive to PI3K α Inhibitors. Clinical Cancer Research. 24(6). 1426–1435. 27 indexed citations
9.
Oh, Sunhwa, et al.. (2013). HER2 stabilizes survivin while concomitantly down-regulating survivin gene transcription by suppressing Notch cleavage. Biochemical Journal. 451(1). 123–134. 26 indexed citations
10.
Lee, Kyung‐min, Sunhwa Oh, KeeSoo Nam, et al.. (2013). Regulation of Cell Proliferation and Migration by Keratin19-Induced Nuclear Import of Early Growth Response-1 in Breast Cancer Cells. Clinical Cancer Research. 19(16). 4335–4346. 58 indexed citations
11.
Lee, Kyung‐min, et al.. (2012). Evaluation of an Automated Urine Flow Cytometer for Screening of Bacterial Contamination in Platelet Concentrates. Laboratory Medicine Online. 2(4). 209–209. 1 indexed citations
12.
Lee, Kyung‐min, Jae‐Sung Rhee, Dae‐Sik Hwang, et al.. (2010). Effects of Endocrine Disruptors onBombina orientalisP450 Aromatase Activity. ZOOLOGICAL SCIENCE. 27(4). 338–343. 6 indexed citations
13.
Lee, Kyung‐min, et al.. (2010). Induction of apoptotic cell death by Pharbitis nil extract in HER2-overexpressing MCF-7 cells. Journal of Ethnopharmacology. 133(1). 126–131. 19 indexed citations
14.
Lee, Kyung‐min, et al.. (2010). Akt isoform-specific inhibition of MDA-MB-231 cell proliferation. Cellular Signalling. 23(1). 19–26. 22 indexed citations
15.
Lee, Sang‐Nam, et al.. (2008). A Study on the Fixed- and Transformed-pattern of Saam Acupuncture Treatment. Journal of Acupuncture Research. 25(5). 17–25. 5 indexed citations
16.
Lee, Kyung‐min, et al.. (2008). The Effects of Bee Venom Acupunture Therapy on Shoulder Pain Patients in Stroke Sequelae. Korean Journal of Acupuncture. 25(2). 125–141. 2 indexed citations
17.
Lee, Kyung‐min & Yong‐Ku Kim. (2006). The role of IL-12 and TGF-β1 in the pathophysiology of major depressive disorder. International Immunopharmacology. 6(8). 1298–1304. 127 indexed citations
18.
Lee, Kyung‐min, et al.. (2005). 요추간판탈출증에 봉약침의 근위 취혈과 근위 및 원위 취혈의 비교. 22(6). 181–187. 2 indexed citations
19.
Seo, Jung-Chul, et al.. (2004). The Effects of Rainbow Power Therapy on Neck Pain Patients. Korean Journal of Acupuncture. 21(2). 147–159. 1 indexed citations
20.
Lee, Kyung‐min, et al.. (2003). Adhesion between Amniotic Membrane and Retinal Tissue and Inhibition of Amniotic Membrane on Cell Transformation. Journal of the Korean Ophthalmological Society. 44(2). 459–471.

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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