Mi Young Lee

480 total citations
9 papers, 392 citations indexed

About

Mi Young Lee is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Mi Young Lee has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Mi Young Lee's work include NF-κB Signaling Pathways (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Immune Response and Inflammation (2 papers). Mi Young Lee is often cited by papers focused on NF-κB Signaling Pathways (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Immune Response and Inflammation (2 papers). Mi Young Lee collaborates with scholars based in South Korea, Egypt and Denmark. Mi Young Lee's co-authors include Young Joo Kim, Eun‐Ju Lee, Sorim Choung, Young-Chul Choi, Mi Na Kim, Seonhoe Kim, Kwan Soo Ko, Nam Yong Lee, Jae‐Hoon Song and Cheol‐In Kang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Microbiology and Hypertension.

In The Last Decade

Mi Young Lee

9 papers receiving 386 citations

Peers

Mi Young Lee

MB

CR

MM

EPIDE

OC

Sifeng Qu China

Yulong Zheng China

Xiaotian Wang China

Michael Rees United Kingdom

Charu Kothari Canada

Tongyi Men China

Soo Teik Lee South Korea

Xavier Fonrose France

Jeong Eun Choi South Korea

Sifeng Qu China

Mi Young Lee

220 ×1.1

MB

85 ×0.5

CR

33 ×0.5

MM

120 ×2.2

EPIDE

21 ×0.4

OC

Citations per year, relative to Mi Young Lee Mi Young Lee (= 1×) peers Sifeng Qu

Countries citing papers authored by Mi Young Lee

Since Specialization

Citations

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

Fields of papers citing papers by Mi Young Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Young Lee

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

All Works

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9 of 9 papers shown

1.

Cho, Hyo Jung, Garam Lee, Han Gyeol Kim, et al.. (2021). Bioelectrical impedance analysis for predicting postoperative complications and survival after liver resection for hepatocellular carcinoma. Annals of Translational Medicine. 9(3). 190–190. 8 indexed citations

2.

Kim, Yeon-Yong, Jun Hyuk Lee, Dae Ryong Kang, et al.. (2020). Risk of Cardiovascular Disease and Chronic Kidney Disease According to 2017 Blood Pressure Categories in Diabetes Mellitus. Hypertension. 76(3). 766–775. 7 indexed citations

3.

Elkamhawy, Ahmed, Ahmed H.E. Hassan, Kwang‐Seok Oh, et al.. (2019). Thiazolidine-2,4-dione-based irreversible allosteric IKK-β kinase inhibitors: Optimization into in vivo active anti-inflammatory agents. European Journal of Medicinal Chemistry. 188. 111955–111955. 30 indexed citations

4.

Elkamhawy, Ahmed, Ahmed H.E. Hassan, Kwang‐Seok Oh, et al.. (2019). Optimization study towards more potent thiazolidine-2,4-dione IKK-β modulator: Synthesis, biological evaluation and in silico docking simulation. Bioorganic Chemistry. 92. 103261–103261. 14 indexed citations

5.

Elkamhawy, Ahmed, Ahmed H.E. Hassan, Kwang‐Seok Oh, et al.. (2018). Design, synthesis and biological evaluation of novel thiazolidinedione derivatives as irreversible allosteric IKK-β modulators. European Journal of Medicinal Chemistry. 157. 691–704. 24 indexed citations

6.

Kim, Soon Sun, Hyo Jung Cho, Ji Sun Nam, et al.. (2017). Plasma MicroRNA-21, 26a, and 29a-3p as Predictive Markers for Treatment Response Following Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma. Journal of Korean Medical Science. 33(1). e6–e6. 19 indexed citations

7.

Kang, Cheol‐In, Yu Mi Wi, Mi Young Lee, et al.. (2011). Epidemiology and Risk Factors of Community Onset Infections Caused by Extended-Spectrum β-Lactamase-Producing Escherichia coli Strains. Journal of Clinical Microbiology. 50(2). 312–317. 79 indexed citations

8.

Kim, Seonhoe, Mi Na Kim, Eun‐Ju Lee, et al.. (2008). MicroRNA miR-199a* Regulates the MET Proto-oncogene and the Downstream Extracellular Signal-regulated Kinase 2 (ERK2). Journal of Biological Chemistry. 283(26). 18158–18166. 178 indexed citations

9.

Choung, Sorim, et al.. (2007). Dual knockdown of p65 and p50 subunits of NF-kappaB by siRNA inhibits the induction of inflammatory cytokines and significantly enhance apoptosis in human primary synoviocytes treated with tumor necrosis factor-alpha. Molecular Biology Reports. 35(3). 291–298. 33 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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