Wonyoung Kang

1.1k total citations
35 papers, 672 citations indexed

About

Wonyoung Kang is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Wonyoung Kang has authored 35 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Genetics. Recurrent topics in Wonyoung Kang's work include Glioma Diagnosis and Treatment (7 papers), Cancer Cells and Metastasis (6 papers) and Cancer Research and Treatments (4 papers). Wonyoung Kang is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Cancer Cells and Metastasis (6 papers) and Cancer Research and Treatments (4 papers). Wonyoung Kang collaborates with scholars based in South Korea, United States and Puerto Rico. Wonyoung Kang's co-authors include Charles Lee, Jee Young Kwon, Young Jae Lee, Hyun Ju Hong, Kyeung Min Joo, Heekyoung Yang, Leigh Maher, Jinjoo Kang, Sung‐Yup Cho and Hansoo Park and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Wonyoung Kang

34 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wonyoung Kang South Korea 15 301 212 110 78 76 35 672
Xianmin Mu China 14 707 2.3× 178 0.8× 413 3.8× 45 0.6× 84 1.1× 26 1.1k
Biao Geng China 18 738 2.5× 238 1.1× 386 3.5× 46 0.6× 91 1.2× 27 1.2k
Vasyl S. Nagibin Ukraine 12 349 1.2× 503 2.4× 118 1.1× 13 0.2× 90 1.2× 25 1.2k
Ming Zeng China 17 512 1.7× 82 0.4× 155 1.4× 78 1.0× 74 1.0× 44 971
Patrícia Dillenburg-Pilla Brazil 9 414 1.4× 133 0.6× 62 0.6× 76 1.0× 27 0.4× 14 851
Hyeok-Gu Kang South Korea 17 653 2.2× 224 1.1× 324 2.9× 24 0.3× 57 0.8× 24 934
Karine Laud France 13 353 1.2× 256 1.2× 125 1.1× 66 0.8× 128 1.7× 18 818
Arisa Higa Japan 12 317 1.1× 112 0.5× 71 0.6× 18 0.2× 49 0.6× 19 725

Countries citing papers authored by Wonyoung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Wonyoung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wonyoung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Wonyoung Kang. A scholar is included among the top collaborators of Wonyoung Kang 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 Wonyoung Kang. Wonyoung Kang 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.
Lee, Haksoo, Byeongsoo Kim, Sujin Park, et al.. (2025). Cancer stem cells: landscape, challenges and emerging therapeutic innovations. Signal Transduction and Targeted Therapy. 10(1). 248–248. 12 indexed citations
2.
Li, Jinxia, Jiasheng Wu, Wonyoung Kang, et al.. (2025). A novel hypocrellin B derivative for photodynamic therapy-driven cancer immunotherapy via triggering immunogenic cell death. Nano Today. 64. 102809–102809. 1 indexed citations
3.
Kwon, Jee Young, et al.. (2023). Canine as a Comparative and Translational Model for Human Mammary Tumor. Journal of Breast Cancer. 26(1). 1–1. 25 indexed citations
4.
Jeon, Hye-Min, Yong Jae Shin, Jaehyun Lee, et al.. (2023). The semaphorin 3A/neuropilin-1 pathway promotes clonogenic growth of glioblastoma via activation of TGF-β signaling. JCI Insight. 8(21). 8 indexed citations
5.
Kang, Wonyoung, Leigh Maher, Michael Michaud, et al.. (2021). Correction to: Development of a Novel Orthotopic Gastric Cancer Mouse Model. Biological Procedures Online. 23(1). 9–9. 1 indexed citations
6.
Han, Jongmin, Wonyoung Kang, Kyu Jin Lee, et al.. (2021). JAK2 regulates paclitaxel resistance in triple negative breast cancers. Journal of Molecular Medicine. 99(12). 1783–1795. 26 indexed citations
7.
Kang, Wonyoung, Leigh Maher, Michael Michaud, et al.. (2021). Development of a Novel Orthotopic Gastric Cancer Mouse Model. Biological Procedures Online. 23(1). 1–1. 21 indexed citations
8.
Lutz, Cathleen, Leigh Maher, Charles Lee, & Wonyoung Kang. (2020). COVID-19 preclinical models: human angiotensin-converting enzyme 2 transgenic mice. Human Genomics. 14(1). 20–20. 41 indexed citations
9.
Cho, Sung‐Yup, Jeesoo Chae, Deukchae Na, et al.. (2019). Unstable Genome and Transcriptome Dynamics during Tumor Metastasis Contribute to Therapeutic Heterogeneity in Colorectal Cancers. Clinical Cancer Research. 25(9). 2821–2834. 13 indexed citations
10.
Jason, K., Jin‐Ku Lee, Hee Jin Cho, et al.. (2018). Identification of genomic and molecular traits that present therapeutic vulnerability to HGF-targeted therapy in glioblastoma. Neuro-Oncology. 21(2). 222–233. 14 indexed citations
11.
Cho, Sung‐Yup, Jee Yun Han, Deukchae Na, et al.. (2017). A Novel Combination Treatment Targeting BCL-XL and MCL1 for KRAS/BRAF -mutated and BCL2L1 -amplified Colorectal Cancers. Molecular Cancer Therapeutics. 16(10). 2178–2190. 12 indexed citations
12.
Cho, Yu Jin, Wonyoung Kang, K. Jason, et al.. (2016). Involvement of DDX6 gene in radio- and chemoresistance in glioblastoma. International Journal of Oncology. 48(3). 1053–1062. 9 indexed citations
13.
Cho, Sung‐Yup, Wonyoung Kang, Jee Yun Han, et al.. (2016). An Integrative Approach to Precision Cancer Medicine Using Patient-Derived Xenografts. Molecules and Cells. 39(2). 77–86. 110 indexed citations
14.
Lee, Jin‐Ku, Jin‐Ku Lee, Nakho Chang, et al.. (2015). USP1 targeting impedes GBM growth by inhibiting stem cell maintenance and radioresistance. Neuro-Oncology. 18(1). 37–47. 91 indexed citations
15.
Park, Junseong, et al.. (2013). TGF-β1 and hypoxia-dependent expression of MKP-1 leads tumor resistance to death receptor-mediated cell death. Cell Death and Disease. 4(2). e521–e521. 16 indexed citations
16.
Kang, Wonyoung, Juyoun Jin, Heekyoung Yang, et al.. (2013). Genetically-engineered human neural stem cells with rabbit carboxyl esterase can target CNS lymphoma.. PubMed. 33(12). 5335–42. 2 indexed citations
17.
Kang, Wonyoung, Ho Jun Seol, Jandi Kim, et al.. (2013). Adenosine potentiates the therapeutic effects of neural stem cells expressing cytosine deaminase against metastatic brain tumors. Oncology Reports. 30(3). 1101–1106. 2 indexed citations
18.
Kang, Wonyoung, et al.. (2012). A Study of Priority for Policy Implement of Personal Information Security in Public Sector: Focused on Personal Information Security Index. Information Security and Cryptology. 22(2). 379–390. 2 indexed citations
19.
Kim, Jeong-Hee, Heekyoung Yang, Wonyoung Kang, et al.. (2010). Neuroprotective Effects of Korean Kiwifruit against t-BHP-induced Cell Damage in PC12 Cells. Korean Journal of Plant Resources. 23(2). 165–171. 6 indexed citations
20.
Uhm, Jieun, et al.. (2008). Clinical outcomes of metastatic breast cancer patients with triple-negative phenotype who received platinum-containing chemotherapy. Journal of Clinical Oncology. 26(15_suppl). 1008–1008. 13 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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