Yona Kim

1.9k total citations · 1 hit paper
16 papers, 747 citations indexed

About

Yona Kim is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Yona Kim has authored 16 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Yona Kim's work include Glioma Diagnosis and Treatment (4 papers), Mesenchymal stem cell research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Yona Kim is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Mesenchymal stem cell research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Yona Kim collaborates with scholars based in South Korea, United States and Ethiopia. Yona Kim's co-authors include Sun Ha Paek, Hyo Eun Moon, Sung‐Hye Park, Hee‐Gyeong Yi, Kyung Shin Kang, Yeong‐Jin Choi, Mihyeon Bae, Dong‐Woo Cho, Hyewon Youn and Jinah Jang and has published in prestigious journals such as Food and Chemical Toxicology, PROTEOMICS and Nature Biomedical Engineering.

In The Last Decade

Yona Kim

16 papers receiving 740 citations

Hit Papers

align trajectories

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.

A bioprinted human-glioblastoma-on-a-chip for the identification of patient-specific responses to chemoradiotherapy

2019 485 citations Hee‐Gyeong Yi, Young Hun Jeong et al. Nature Biomedical Engineering profile →

Peers

Yona Kim

ONCOL

GENET

Moriah E. Katt United States

Miguel A. Hermida United Kingdom

Tugba Bagcı-Önder Türkiye

Phongsakorn Kunhorm Thailand

Yoshitaka Sei United States

Dianjun Qi China

Kristopher Carver United States

Goodwell Nzou United States

Woong Bi Jang South Korea

Antje Appelt‐Menzel Germany

Moriah E. Katt United States

Yona Kim

468 ×1.0

313 ×1.7

381 ×2.0

ONCOL

55 ×0.3

GENET

24 ×0.3

Citations per year, relative to Yona Kim Yona Kim (= 1×) peers Moriah E. Katt

Countries citing papers authored by Yona Kim

Since Specialization

Citations

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

Fields of papers citing papers by Yona Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yona Kim

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

All Works

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16 of 16 papers shown

Kim, Yona, Ji Hyeon You, Hyo Eun Moon, et al.. (2024). ELAVL2 loss promotes aggressive mesenchymal transition in glioblastoma. npj Precision Oncology. 8(1). 79–79. 6 indexed citations

Oh, Hyun Jeong, Ji Hye Hong, Hyo Eun Moon, et al.. (2023). Glial cell proteome using targeted quantitative methods for potential multi-diagnostic biomarkers. Clinical Proteomics. 20(1). 45–45. 1 indexed citations

Kim, Yona. (2022). The Influence Factors on Nursing Work Performance by Clinical Nurses. Journal of the Korea Academia-Industrial cooperation Society. 23(1). 594–602. 1 indexed citations

Kim, Yona, Frederick S. Varn, Sung‐Hye Park, et al.. (2021). Perspective of mesenchymal transformation in glioblastoma. Acta Neuropathologica Communications. 9(1). 50–50. 75 indexed citations

Shin, Hye Young, Kyung-Seok Han, Hyung Woo Park, et al.. (2021). Tumor Spheroids of an Aggressive Form of Central Neurocytoma Have Transit-Amplifying Progenitor Characteristics with Enhanced EGFR and Tumor Stem Cell Signaling. Experimental Neurobiology. 30(2). 120–143. 3 indexed citations

Park, Ha Young, et al.. (2020). Effects of gamma irradiation on the quality of manila clam porridge and in vivo immunomodulatory activity of hesperidin as immunopotentiator for sterilized patient food. Radiation Physics and Chemistry. 176. 109015–109015. 4 indexed citations

Kim, Yona. (2019). Relationship of Emotional intelligence, Self-leadership and Professional Quality of Life on Nurses. Journal of the Korea Academia-Industrial cooperation Society. 20(8). 531–538. 3 indexed citations

Yi, Hee‐Gyeong, Young Hun Jeong, Yona Kim, et al.. (2019). A bioprinted human-glioblastoma-on-a-chip for the identification of patient-specific responses to chemoradiotherapy. Nature Biomedical Engineering. 3(7). 509–519. 485 indexed citations breakdown →

Lee, Jooyoung, Dong Hyun Jo, Jin Hyoung Kim, et al.. (2019). Development of a patient-derived xenograft model of glioblastoma via intravitreal injection in mice. Experimental & Molecular Medicine. 51(4). 1–9. 16 indexed citations

10.

Song, Beom‐Seok, Yona Kim, Yeung Bae Jin, et al.. (2018). Toxicological evaluation of 2-dodecylcyclobutanone, a unique radiolytic compound of palmitic acid. Food and Chemical Toxicology. 121. 639–647. 1 indexed citations

11.

Park, Hyung Woo, Yona Kim, Jong Wook Chang, et al.. (2017). Effect of Single and Double Administration of Human Umbilical Cord Blood-Derived Mesenchymal Stem Cells Following Focal Cerebral Ischemia in Rats. Experimental Neurobiology. 26(1). 55–65. 20 indexed citations

12.

Han, Jiwon, Joo Young Lee, Yona Kim, et al.. (2017). Inhibition of HIF1α and PDK Induces Cell Death of Glioblastoma Multiforme. Experimental Neurobiology. 26(5). 295–306. 14 indexed citations

13.

Park, Hyung Woo, Yona Kim, Jong Wook Chang, et al.. (2015). Human umbilical cord blood‐derived mesenchymal stem cells improve functional recovery through thrombospondin1, pantraxin3, and vascular endothelial growth factor in the ischemic rat brain. Journal of Neuroscience Research. 93(12). 1814–1825. 35 indexed citations

14.

Kim, Yona, et al.. (2015). The Unreliability of MTT Assay in the Cytotoxic Test of Primary Cultured Glioblastoma Cells. Experimental Neurobiology. 24(3). 235–245. 72 indexed citations

15.

Kim, Yona, Il Yong Kim, Ji Eun Kim, et al.. (2014). Identification of the responsible proteins for increased selenium bioavailability in the brain of transgenic rats overexpressing selenoprotein M. International Journal of Molecular Medicine. 34(6). 1688–1698. 8 indexed citations

16.

Kim, Bo Hye, Eun Young Park, Kyung Hyun Yoo, et al.. (2012). N ‐myc downstream‐regulated gene 1 is involved in the regulation of cystogenesis in transgenic mice overexpressing human PKD 2 gene. PROTEOMICS. 13(1). 134–141. 3 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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