Youngmi Kim

6.7k total citations · 1 hit paper
146 papers, 4.8k citations indexed

About

Youngmi Kim is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Youngmi Kim has authored 146 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 34 papers in Cancer Research and 24 papers in Immunology. Recurrent topics in Youngmi Kim's work include MicroRNA in disease regulation (17 papers), Histone Deacetylase Inhibitors Research (11 papers) and Food Security and Health in Diverse Populations (9 papers). Youngmi Kim is often cited by papers focused on MicroRNA in disease regulation (17 papers), Histone Deacetylase Inhibitors Research (11 papers) and Food Security and Health in Diverse Populations (9 papers). Youngmi Kim collaborates with scholars based in South Korea, United States and Nigeria. Youngmi Kim's co-authors include Dooil Jeoung, Jin Huang, Hansoo Lee, Jongseon Choe, Young‐Guen Kwon, Young‐Myeong Kim, Hyun Suk Jung, Deokbum Park, Yun‐Sil Lee and Yoojung Kwon and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Youngmi Kim

144 papers receiving 4.7k citations

Hit Papers

The spatial landscape of lung pathology during COVID-19 p... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The spatial landscape of lung pathology during COVID-19 progression
    2021 212 citations Youngmi Kim et al. profile →

Peers

Youngmi Kim
Junbo Hu China
Hartmut Geiger United States
Robert D. Simari United States
Eugene S. Kim United States
Sylvia Heeneman Netherlands
Tobias Pukrop Germany
Kathleen M. Murphy United States
Mirjam G.A. oude Egbrink Netherlands
Yan Huang China
Marion Kiechle Germany
Junbo Hu China
Youngmi Kim
Citations per year, relative to Youngmi Kim Youngmi Kim (= 1×) peers Junbo Hu

Countries citing papers authored by Youngmi Kim

Since Specialization
Citations

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

Fields of papers citing papers by Youngmi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngmi Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Youngmi Kim. A scholar is included among the top collaborators of Youngmi Kim 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 Youngmi Kim. Youngmi Kim 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.
Kim, Jong Ho, et al.. (2023). Prediction of Postoperative Pulmonary Edema Risk Using Machine Learning. Journal of Clinical Medicine. 12(5). 1804–1804. 3 indexed citations
2.
Lee, Kyung Jun, Hyeong Su Kim, Youngmi Kim, et al.. (2023). miR-429 Suppresses Endometrial Cancer Progression and Drug Resistance via DDX53. Journal of Personalized Medicine. 13(9). 1302–1302. 5 indexed citations
3.
Park, Sung Taek, et al.. (2021). Content Analysis and Quality Evaluation of Cesarean Delivery–Related Videos on YouTube: Cross-sectional Study. Journal of Medical Internet Research. 23(7). e24994–e24994. 13 indexed citations
4.
Kwon, Young Suk, Haewon Kim, Hanna Lee, et al.. (2021). Effect of Intra- and Post-Operative Fluid and Blood Volume on Postoperative Pulmonary Edema in Patients with Intraoperative Massive Bleeding. Journal of Clinical Medicine. 10(18). 4224–4224. 3 indexed citations
5.
Son, Ga‐Hyun, Youngmi Kim, Jae Jun Lee, et al.. (2019). MicroRNA-548 regulates high mobility group box 1 expression in patients with preterm birth and chorioamnionitis. Scientific Reports. 9(1). 19746–19746. 33 indexed citations
6.
7.
Park, Suyeon, et al.. (2018). Role of DDX53 in taxol-resistance of cervix cancer cells in vitro. Biochemical and Biophysical Research Communications. 506(3). 641–647. 13 indexed citations
8.
Kim, Mi‐Sun, Youngmi Kim, Yoojung Kwon, et al.. (2018). Human Adipose Tissue-Derived Mesenchymal Stem Cells Attenuate Atopic Dermatitis by Regulating the Expression of MIP-2, miR-122a-SOCS1 Axis, and Th1/Th2 Responses. Frontiers in Pharmacology. 9. 1175–1175. 32 indexed citations
9.
Lee, Jungmin, et al.. (2017). Knockdown of BC200 RNA expression reduces cell migration and invasion by destabilizing mRNA for calcium-binding protein S100A11. RNA Biology. 14(10). 1418–1430. 26 indexed citations
10.
Kim, Youngmi, Hyuna Kim, Deokbum Park, et al.. (2016). miR-217 and CAGE form feedback loop and regulates the response to anti-cancer drugs through EGFR and HER2. Oncotarget. 7(9). 10297–10321. 20 indexed citations
11.
Lee, Jungmin, et al.. (2016). Truncated SRA RNA derivatives inhibit estrogen receptor-α-mediated transcription. Molecular Biology Reports. 43(10). 1019–1025. 1 indexed citations
12.
Park, Hyoung-Sook & Youngmi Kim. (2015). Analysis of Qualitative Research Published by Journal of Korean Academy of Fundamentals of Nursing. Journal of Korean Academy of Fundamentals of Nursing. 22(4). 442–451. 4 indexed citations
13.
Huang, Jin, Youngmi Kim, & Julie Birkenmaier. (2015). Unemployment and household food hardship in the economic recession. Public Health Nutrition. 19(3). 511–519. 52 indexed citations
14.
Kim, Youngmi, Qiulian Wu, Petra Hamerlik, et al.. (2013). Aptamer Identification of Brain Tumor–Initiating Cells. Cancer Research. 73(15). 4923–4936. 49 indexed citations
15.
Huang, Jin, et al.. (2010). Does Food Insecurity Affect Parental Characteristics and Child Behavior? Testing Mediation Effects. Social Service Review. 84(3). 381–401. 98 indexed citations
16.
Kim, Youngmi & Dooil Jeoung. (2009). The cancer/testis antigen CAGE induces MMP-2 through the activation of NF-κB and AP-1. BMB Reports. 42(11). 758–763. 11 indexed citations
17.
Jung, Yusun, Seunghyun Bang, Youngmi Kim, et al.. (2006). TC1 (C8orf4) Enhances the Wnt/β-Catenin Pathway by Relieving Antagonistic Activity of Chibby. Cancer Research. 66(2). 723–728. 49 indexed citations
18.
Kim, Youngmi, et al.. (2006). Quantitative Analysis of Two Genetically Modified Maize Lines by Real-Time PCR. Journal of Microbiology and Biotechnology. 16(2). 205–211. 12 indexed citations
19.
Kim, Youngmi, et al.. (2003). Nasociliary Nerve Radiofrequency Thermocoagulation for Trigeminal Neuralgia - A case report-. The Korean journal of pain. 16(1). 92–96. 2 indexed citations
20.
Oh, Young‐Taek, Han‐Soo Kim, Mison Chun, et al.. (1999). The effect of external electron beam on neointima in rat carotid artery injury model. International Journal of Radiation Oncology*Biology*Physics. 44(3). 643–648. 8 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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