Wanyeon Kim

2.3k total citations
45 papers, 1.6k citations indexed

About

Wanyeon Kim is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wanyeon Kim has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 20 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wanyeon Kim's work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (7 papers) and Circular RNAs in diseases (7 papers). Wanyeon Kim is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (7 papers) and Circular RNAs in diseases (7 papers). Wanyeon Kim collaborates with scholars based in South Korea and United States. Wanyeon Kim's co-authors include BuHyun Youn, HyeSook Youn, EunGi Kim, Ki Moon Seong, Sungmin Lee, Beomseok Son, JiHoon Kang, Dain Kim, Danbi Seo and TaeWoo Kwon and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Scientific Reports.

In The Last Decade

Wanyeon Kim

44 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanyeon Kim South Korea 24 977 602 341 228 157 45 1.6k
Daniele Avanzato Italy 15 996 1.0× 338 0.6× 465 1.4× 236 1.0× 160 1.0× 18 1.8k
Yubo Tang China 20 1.0k 1.0× 606 1.0× 314 0.9× 174 0.8× 145 0.9× 49 1.6k
Shou‐Ching Tang United States 24 1.3k 1.3× 504 0.8× 542 1.6× 230 1.0× 175 1.1× 85 1.8k
Naoyo Nishida Japan 12 837 0.9× 366 0.6× 401 1.2× 140 0.6× 150 1.0× 27 1.5k
Song Hu China 22 735 0.8× 480 0.8× 283 0.8× 183 0.8× 145 0.9× 58 1.3k
Yiding Chen China 21 975 1.0× 526 0.9× 710 2.1× 247 1.1× 145 0.9× 86 2.0k
Lijun Di China 25 1.0k 1.1× 389 0.6× 602 1.8× 188 0.8× 236 1.5× 102 1.9k
Leanne C. Huysentruyt United States 16 783 0.8× 508 0.8× 476 1.4× 123 0.5× 221 1.4× 20 1.6k
Yue Fan China 23 1.2k 1.2× 679 1.1× 303 0.9× 225 1.0× 177 1.1× 66 1.7k
Jin‐Ku Lee South Korea 20 903 0.9× 455 0.8× 467 1.4× 160 0.7× 268 1.7× 34 1.7k

Countries citing papers authored by Wanyeon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Wanyeon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanyeon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Wanyeon Kim. A scholar is included among the top collaborators of Wanyeon 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 Wanyeon Kim. Wanyeon 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.
Yoon, Grace, et al.. (2025). Identification of CXCL8, IL1A, and IL1B as Hub Genes of Therapeutic Resistance in Glioblastoma Multiforme via Bioinformatics Analysis. Cancer Genomics & Proteomics. 22(5). 791–808. 1 indexed citations
2.
Im, Myung, et al.. (2024). Gene Expression Profiling Regulated by lncRNA H19 Using Bioinformatic Analyses in Glioma Cell Lines. Cancer Genomics & Proteomics. 21(6). 608–621. 2 indexed citations
3.
Kang, JiHoon, et al.. (2023). MALAT1-regulated gene expression profiling in lung cancer cell lines. BMC Cancer. 23(1). 818–818. 17 indexed citations
4.
Kang, JiHoon, et al.. (2022). The Involvement of Long Non-Coding RNAs in Glutamine-Metabolic Reprogramming and Therapeutic Resistance in Cancer. International Journal of Molecular Sciences. 23(23). 14808–14808. 14 indexed citations
5.
Kim, Wanyeon, et al.. (2021). The Roles Played by Long Non-Coding RNAs in Glioma Resistance. International Journal of Molecular Sciences. 22(13). 6834–6834. 24 indexed citations
6.
Seo, Danbi, et al.. (2020). The ceRNA network of lncRNA and miRNA in lung cancer. Genomics & Informatics. 18(4). e36–e36. 26 indexed citations
7.
Seo, Danbi, Dain Kim, & Wanyeon Kim. (2019). Long non-coding RNA linc00152 acting as a promising oncogene in cancer progression. Genomics & Informatics. 17(4). e36–e36. 19 indexed citations
8.
Kim, Dain, JiHoon Kang, Beomseok Son, et al.. (2019). TFAP2C increases cell proliferation by downregulating GADD45B and PMAIP1 in non-small cell lung cancer cells. Biological Research. 52(1). 35–35. 43 indexed citations
9.
Kim, Wanyeon, HyeSook Youn, Sungmin Lee, et al.. (2018). RNF138-mediated ubiquitination of rpS3 is required for resistance of glioblastoma cells to radiation-induced apoptosis. Experimental & Molecular Medicine. 50(1). e434–e434. 48 indexed citations
10.
Kim, Wanyeon, et al.. (2018). Targeting the enzymes involved in arachidonic acid metabolism to improve radiotherapy. Cancer and Metastasis Reviews. 37(2-3). 213–225. 34 indexed citations
11.
Kim, Wanyeon, et al.. (2018). Roles of Oncogenic Long Non-coding RNAs in Cancer Development. Genomics & Informatics. 16(4). e18–e18. 70 indexed citations
12.
Kim, Jiwoong, Dooyong Lee, Sehwan Song, et al.. (2017). Surface chemistry modification in ITO films induced by Sn2+ ionic state variation. Current Applied Physics. 17(11). 1415–1421. 10 indexed citations
13.
Youn, BuHyun, et al.. (2017). Circadian Clock Genes, PER1 and PER2, as Tumor Suppressors. 생명과학회지. 27(10). 1225–1231. 1 indexed citations
14.
Kim, Wanyeon, JiHoon Kang, Sung-Min Lee, & BuHyun Youn. (2017). Effects of traditional oriental medicines as anti-cytotoxic agents in radiotherapy. Oncology Letters. 13(6). 4593–4601. 4 indexed citations
15.
Lee, Sung-Min, JiHoon Kang, EunGi Kim, et al.. (2017). Surfactant Protein B Suppresses Lung Cancer Progression by Inhibiting Secretory Phospholipase A2 Activity and Arachidonic Acid Production. Cellular Physiology and Biochemistry. 42(4). 1684–1700. 23 indexed citations
16.
Son, Beomseok, HyeSook Youn, Hee Jung Yang, et al.. (2016). Inhibitory effect of traditional oriental medicine-derived monoamine oxidase B inhibitor on radioresistance of non-small cell lung cancer. Scientific Reports. 6(1). 21986–21986. 42 indexed citations
17.
Son, Beomseok, Wanyeon Kim, Jung Sub Lee, et al.. (2015). Dissociation of MIF‐rpS3 Complex and Sequential NF‐κB Activation Is Involved in IR‐Induced Metastatic Conversion of NSCLC. Journal of Cellular Biochemistry. 116(11). 2504–2516. 34 indexed citations
18.
Kim, EunGi, HyeSook Youn, TaeWoo Kwon, et al.. (2014). PAK1 Tyrosine Phosphorylation Is Required to Induce Epithelial–Mesenchymal Transition and Radioresistance in Lung Cancer Cells. Cancer Research. 74(19). 5520–5531. 69 indexed citations
19.
Kang, Ji‐Hoon, Wanyeon Kim, Ki Moon Seong, et al.. (2013). Rhamnetin and Cirsiliol Induce Radiosensitization and Inhibition of Epithelial-Mesenchymal Transition (EMT) by miR-34a-mediated Suppression of Notch-1 Expression in Non-small Cell Lung Cancer Cell Lines. Journal of Biological Chemistry. 288(38). 27343–27357. 160 indexed citations
20.
Kim, Wanyeon, et al.. (2013). Network-based approaches for anticancer therapy. International Journal of Oncology. 43(6). 1737–1744. 14 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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