Young-Youl Kim

516 total citations
19 papers, 382 citations indexed

About

Young-Youl Kim is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, Young-Youl Kim has authored 19 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Oncology. Recurrent topics in Young-Youl Kim's work include Cell death mechanisms and regulation (3 papers), Climate Change and Health Impacts (3 papers) and Molecular Biology Techniques and Applications (3 papers). Young-Youl Kim is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Climate Change and Health Impacts (3 papers) and Molecular Biology Techniques and Applications (3 papers). Young-Youl Kim collaborates with scholars based in South Korea and France. Young-Youl Kim's co-authors include Hyun‐Young Park, Won–Ho Kim, Hyun‐Young Kim, Jae-Eun Lee, Bermseok Oh, Seungwoo Kim, Sangmee Ahn Jo, Hans‐Jürgen Möller, Moon Ho Park and Youngho Koh and has published in prestigious journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications and Antioxidants.

In The Last Decade

Young-Youl Kim

18 papers receiving 376 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Young-Youl Kim 131 118 56 48 33 19 382
Beiqing Wu 80 0.6× 86 0.7× 12 0.2× 48 1.0× 5 0.2× 7 231
Chin-Ching Wu 82 0.6× 189 1.6× 24 0.4× 15 0.3× 8 0.2× 14 399
Yu-Chieh Chen 88 0.7× 31 0.3× 58 1.0× 13 0.3× 41 1.2× 32 338
Golsa Joodi 96 0.7× 45 0.4× 26 0.5× 7 0.1× 36 1.1× 27 339
Atsuto Onoda 48 0.4× 240 2.0× 31 0.6× 24 0.5× 5 0.2× 32 455
Younes Aftabı 144 1.1× 39 0.3× 18 0.3× 12 0.3× 20 0.6× 37 345
Liangliang Niu 169 1.3× 90 0.8× 29 0.5× 17 0.4× 8 0.2× 18 376
Hiroko Kitamura 89 0.7× 68 0.6× 72 1.3× 20 0.4× 16 0.5× 50 347
Yean Jung Choi 100 0.8× 74 0.6× 77 1.4× 69 1.4× 14 0.4× 19 338

Countries citing papers authored by Young-Youl Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young-Youl Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Youl Kim

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

All Works

19 of 19 papers shown
1.
Son, Kuk Hui, Eunsook Park, Hyun Jeong Kwak, et al.. (2023). Exogenous 8-Hydroxydeoxyguanosine Attenuates PM2.5-Induced Inflammation in Human Bronchial Epithelial Cells by Decreasing NLRP3 Inflammasome Activation. Antioxidants. 12(6). 1189–1189. 5 indexed citations
2.
Lee, Jae-Eun, Hyun Joung Lim, & Young-Youl Kim. (2021). Publication trends in research on particulate matter and health impact over a 10-year period: 2009–2018. PubMed. 36(1). e2021005–e2021005. 7 indexed citations
3.
Lee, Jae-Eun, Hyun Joung Lim, & Young-Youl Kim. (2021). Publication trends in South Korean research on particulate matter and health effects during two decades (2000–2019). Toxicological Research. 38(1). 53–62. 2 indexed citations
4.
Kim, Jiwon, et al.. (2021). Prediction of COPD severity based on clinical data using Machine Learning. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1646–1648. 2 indexed citations
5.
Kim, JW, et al.. (2021). Gene expression analysis of known COPD loci revealed its varied levels by disease severity. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1673–1675. 1 indexed citations
6.
Lee, Jae-Eun, et al.. (2020). Smoking-Related DNA Methylation is Differentially Associated with Cadmium Concentration in Blood. Biochemical Genetics. 58(4). 617–630. 12 indexed citations
7.
Kim, Hyun‐Young, Won–Ho Kim, Young-Youl Kim, & Hyun‐Young Park. (2020). Air Pollution and Central Nervous System Disease: A Review of the Impact of Fine Particulate Matter on Neurological Disorders. Frontiers in Public Health. 8. 575330–575330. 129 indexed citations
8.
Lee, Jae-Eun, et al.. (2018). Impact of Time Delay in Processing Blood Sample on Next Generation Sequencing for Transcriptome Analysis. Osong Public Health and Research Perspectives. 9(3). 130–132. 1 indexed citations
9.
Kim, Young-Youl, et al.. (2018). GSK-3β-mediated regulation of cadmium-induced cell death and survival. Cellular & Molecular Biology Letters. 23(1). 9–9. 6 indexed citations
10.
Lee, Jae-Eun & Young-Youl Kim. (2018). How Should Biobanks Prioritize and Diversify Biosample Collections? A 40-Year Scientific Publication Trend Analysis by the Type of Biosample. OMICS A Journal of Integrative Biology. 22(4). 255–263. 8 indexed citations
11.
Lee, Jae-Eun & Young-Youl Kim. (2017). Impact of Preanalytical Variations in Blood-Derived Biospecimens on Omics Studies: Toward Precision Biobanking?. OMICS A Journal of Integrative Biology. 21(9). 499–508. 29 indexed citations
12.
Lee, Jae-Eun, et al.. (2013). Instability at Short Tandem Repeats in Lymphoblastoid Cell Lines. Osong Public Health and Research Perspectives. 4(4). 194–196. 1 indexed citations
13.
Kim, Seungwoo, Hans‐Jürgen Möller, Moon Ho Park, et al.. (2011). Identification of peripheral inflammatory markers between normal control and Alzheimer's disease. BMC Neurology. 11(1). 51–51. 60 indexed citations
14.
Kim, Dong Joon, Bermseok Oh, & Young-Youl Kim. (2008). Splicing factor ASF/SF2 and transcription factor PPAR-γ cooperate to directly regulate transcription of uncoupling protein-3. Biochemical and Biophysical Research Communications. 378(4). 877–882. 14 indexed citations
15.
Kim, Dong Joon, Chan Park, Bermseok Oh, & Young-Youl Kim. (2008). Association of TRAF2 with the short form of cellular FLICE-like inhibitory protein prevents TNFR1-mediated apoptosis. PubMed. 3. 2–2. 6 indexed citations
16.
Kim, Sangbae, Young‐Jin Kim, Bermseok Oh, et al.. (2007). FCAnalyzer: A Functional Clustering Analysis Tool for Predicted Transcription Regulatory Elements and Gene Ontology Terms. Genomics & Informatics. 5(1). 10–18.
17.
Choi, Eun‐Young, Eun-Cheol Kim, Hyun‐Mee Oh, et al.. (2004). Iron Chelator Triggers Inflammatory Signals in Human Intestinal Epithelial Cells: Involvement of p38 and Extracellular Signal-Regulated Kinase Signaling Pathways. The Journal of Immunology. 172(11). 7069–7077. 58 indexed citations
18.
Park, Soo-Jung, et al.. (2001). Alternative Splicing Variants of c-FLIP Transduce the Differential Signal through the Raf or TRAF2 in TNF-Induced Cell Proliferation. Biochemical and Biophysical Research Communications. 289(5). 1205–1210. 33 indexed citations
19.
Kim, Young-Youl, et al.. (2001). Opposite Role of Ras in Tumor Necrosis Factor-α-Induced Cell Cycle Regulation: Competition for Raf Kinase. Biochemical and Biophysical Research Communications. 287(5). 1140–1147. 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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