Eun‐Young Kim

597 total citations
27 papers, 395 citations indexed

About

Eun‐Young Kim is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Eun‐Young Kim has authored 27 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Eun‐Young Kim's work include Cancer Genomics and Diagnostics (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and RNA Interference and Gene Delivery (2 papers). Eun‐Young Kim is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and RNA Interference and Gene Delivery (2 papers). Eun‐Young Kim collaborates with scholars based in South Korea and United States. Eun‐Young Kim's co-authors include Sangwoo Kim, Min Goo Lee, Han Sang Kim, Soonmyung Paik, Kyung‐Ah Lee, Rumi Shin, Won Seo Park, Seung Chul Heo, Young Jun Chai and Joon‐Hyop Lee and has published in prestigious journals such as Analytical Biochemistry, Scientific Reports and The FASEB Journal.

In The Last Decade

Eun‐Young Kim

27 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eun‐Young Kim South Korea	10	224	112	100	100	48	27	395
Ian Victor Silva Brazil	12	176 0.8×	55 0.5×	101 1.0×	97 1.0×	36 0.8×	26	417
Yiwen Zhou China	10	195 0.9×	54 0.5×	90 0.9×	165 1.6×	28 0.6×	30	411
Ya‐Wen Cheng Taiwan	14	187 0.8×	66 0.6×	110 1.1×	97 1.0×	156 3.3×	19	479
Chan Zhu China	11	139 0.6×	72 0.6×	61 0.6×	40 0.4×	53 1.1×	30	312
Shu-Zhen Dai China	12	235 1.0×	81 0.7×	74 0.7×	140 1.4×	13 0.3×	33	437
Martín Pérez-Santos Mexico	12	136 0.6×	105 0.9×	144 1.4×	63 0.6×	26 0.5×	41	369
Nora Fekete-Drimusz Germany	2	150 0.7×	195 1.7×	239 2.4×	64 0.6×	15 0.3×	2	458
Jun-ichi Fujisawa Japan	8	193 0.9×	158 1.4×	152 1.5×	33 0.3×	28 0.6×	11	434
Zhenhao Liu China	12	156 0.7×	94 0.8×	68 0.7×	80 0.8×	17 0.4×	40	375

Countries citing papers authored by Eun‐Young Kim

Since Specialization

Citations

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

Fields of papers citing papers by Eun‐Young Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun‐Young Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Young Kim. A scholar is included among the top collaborators of Eun‐Young 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 Eun‐Young Kim. Eun‐Young 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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20 of 20 papers shown

Kim, Jin Su, Chan Hee Park, Eun‐Young Kim, et al.. (2025). Establishing 3D organoid models from patient-derived conditionally reprogrammed cells to bridge preclinical and clinical insights in pancreatic cancer. Molecular Cancer. 24(1). 162–162. 3 indexed citations

Kim, Ji Hye, Jin‐Young Lee, Boyun Kim, et al.. (2024). Glutamine-mediated epigenetic regulation of cFLIP underlies resistance to TRAIL in pancreatic cancer. Experimental & Molecular Medicine. 56(4). 1013–1026. 4 indexed citations

Kim, Eun‐Young, et al.. (2022). Insignificant effects of loss of heterozygosity in HLA in the efficacy of immune checkpoint blockade treatment. Genes & Genomics. 44(4). 509–515. 2 indexed citations

Koh, Dong Hee, et al.. (2022). Orthogonal assay for validation of Tox21 PPARγ data and applicability to in silico prediction model. Toxicology in Vitro. 84. 105445–105445. 1 indexed citations

Lim, Sun Min, Eun‐Young Kim, Kyung Hae Jung, et al.. (2021). Genomic landscape of extraordinary responses in metastatic breast cancer. Communications Biology. 4(1). 449–449. 4 indexed citations

Kim, Eun‐Young, et al.. (2019). Impact of mouse contamination in genomic profiling of patient-derived models and best practice for robust analysis. Genome biology. 20(1). 231–231. 10 indexed citations

Kim, Eun‐Young, et al.. (2019). Script used for the study 'Impact of mouse contamination in genomic profiling of patient-derived models and best practice for robust analysis'.. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Kim, Eun‐Young, Won Seo Park, Joon‐Hyop Lee, et al.. (2019). Upregulation of SLC2A3 gene and prognosis in colorectal carcinoma: analysis of TCGA data. BMC Cancer. 19(1). 302–302. 39 indexed citations

Lee, Joon‐Hyop, Won Seo Park, Eun Kyung Choe, et al.. (2019). Prognostic nomogram of hypoxia-related genes predicting overall survival of colorectal cancer–Analysis of TCGA database. Scientific Reports. 9(1). 1803–1803. 35 indexed citations

10.

Park, Yumi, et al.. (2018). Diagnostic Accuracy of Temporal Artery Temperatures Measurements. Journal of Korean Clinical Nursing Research. 24(2). 227–234. 2 indexed citations

11.

Kim, Sangwoo, Han Sang Kim, Eun‐Young Kim, et al.. (2018). Neopepsee: accurate genome-level prediction of neoantigens by harnessing sequence and amino acid immunogenicity information. Annals of Oncology. 29(4). 1030–1036. 113 indexed citations

12.

Kim, Kyeoung‐Hwa, Eun‐Young Kim, Su‐Yeon Lee, Jung-Jae Ko, & Kyung‐Ah Lee. (2017). Oocyte Cytoplasmic Gas6 and Heparan Sulfate (HS) are Required to Establish the Open Chromatin State in Nuclei During Remodeling and Reprogramming. Cellular Physiology and Biochemistry. 45(1). 37–53. 9 indexed citations

13.

Kyung, Bo, et al.. (2015). Compressed sensing with gradient total variation for low-dose CBCT reconstruction. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 784. 570–573. 4 indexed citations

14.

Joo, Jin Young, Jong‐Hwan Lee, Hae Young Ko, et al.. (2014). Microinjection free delivery of miRNA inhibitor into zygotes. Scientific Reports. 4(1). 5417–5417. 18 indexed citations

15.

Park, Minwoo, Hyun-Seo Lee, Eun‐Young Kim, & Kyung‐Ah Lee. (2013). RNA Polymerase II Inhibitor, α-Amanitin, Affects Gene Expression for Gap Junctions and Metabolic Capabilities of Cumulus Cells, but Not Oocyte, during in vitro Mouse Oocyte Maturation. PubMed. 17(1). 63–72. 5 indexed citations

16.

Kim, Yuri, Eun‐Young Kim, Dong‐Gyun Kim, et al.. (2012). DNA array with the groESL intergenic sequence to detect Vibrio parahaemolyticus and Vibrio vulnificus. Analytical Biochemistry. 424(1). 32–34. 10 indexed citations

17.

Lee, Hyun-Seo, et al.. (2011). Downstream Genes Regulated by Bcl2l10 RNAi in the Mouse Oocytes. 15(1). 61–69. 4 indexed citations

18.

Park, Jung Tak, Tae Ik Chang, Dong Ki Kim, et al.. (2009). Association of white blood cell count with metabolic syndrome in patients undergoing peritoneal dialysis. Metabolism. 58(10). 1379–1385. 11 indexed citations

19.

Kim, Eun‐Young & Okhee Han. (2007). Association of Ferroportin‐1 with Hephaestin in human intestinal cells. The FASEB Journal. 21(6). 2 indexed citations

20.

Lee, Min Ja, et al.. (2004). Antimutagenic Effects of Korean Bamboo Trees and Inhibitory Effect of Hepatic Toxicity of Bamboo Extracts Coated Rice. Journal of the Korean Society of Food Science and Nutrition. 33(8). 1279–1285. 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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