Kuo Yang

1.2k total citations
52 papers, 825 citations indexed

About

Kuo Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Kuo Yang has authored 52 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 23 papers in Pulmonary and Respiratory Medicine and 15 papers in Genetics. Recurrent topics in Kuo Yang's work include Prostate Cancer Treatment and Research (15 papers), Epigenetics and DNA Methylation (8 papers) and Cancer-related molecular mechanisms research (7 papers). Kuo Yang is often cited by papers focused on Prostate Cancer Treatment and Research (15 papers), Epigenetics and DNA Methylation (8 papers) and Cancer-related molecular mechanisms research (7 papers). Kuo Yang collaborates with scholars based in China, Canada and Austria. Kuo Yang's co-authors include Yong Xu, Zhihong Zhang, Dong Lin, E Du, Chao Meng, Shiyong Qi, Yue Chen, Yuzhuo Wang, Xingkang Jiang and Jiandang Shi and has published in prestigious journals such as PLoS ONE, Oncogene and Journal of Colloid and Interface Science.

In The Last Decade

Kuo Yang

51 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuo Yang China 19 497 263 219 152 77 52 825
Yun-Ru Liu Taiwan 19 448 0.9× 217 0.8× 162 0.7× 180 1.2× 72 0.9× 38 849
Libin Sun China 17 444 0.9× 334 1.3× 285 1.3× 165 1.1× 48 0.6× 45 847
Fu-Ju Chou United States 17 356 0.7× 233 0.9× 228 1.0× 116 0.8× 46 0.6× 22 682
Matthew P. Fitzgerald United States 15 477 1.0× 179 0.7× 166 0.8× 126 0.8× 70 0.9× 21 788
Marcin Braun Poland 13 568 1.1× 296 1.1× 225 1.0× 297 2.0× 46 0.6× 88 1.1k
Gaolei Liu China 12 395 0.8× 206 0.8× 161 0.7× 241 1.6× 43 0.6× 28 699
Yong Luo China 15 458 0.9× 250 1.0× 154 0.7× 308 2.0× 43 0.6× 35 806
Bethany Smith United States 10 530 1.1× 274 1.0× 168 0.8× 360 2.4× 57 0.7× 16 863

Countries citing papers authored by Kuo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo Yang. A scholar is included among the top collaborators of Kuo Yang 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 Kuo Yang. Kuo Yang 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.
Yang, Kuo, Dong Xin, Chenxi Zhao, et al.. (2024). TCMLLM-PR: evaluation of large language models for prescription recommendation in traditional Chinese medicine. Digital Chinese Medicine. 7(4). 343–355. 6 indexed citations
2.
Ge, Kai, et al.. (2024). 2D Fe/Co-MOF/SOX cascade reactors for fast noninvasive detection of sarcosine level in prostate cancer urine. Journal of Colloid and Interface Science. 679(Pt B). 401–411. 4 indexed citations
3.
Yang, Tong, Changwen Zhang, Zhen Wang, et al.. (2023). Elevated Expression of NOP16 as a Novel Prognostic Biomarker of Prostate Cancer.. PubMed. 53(4). 587–597. 1 indexed citations
4.
Liu, Dongze, Qin Zheng, Hongbo Xie, et al.. (2023). Experimental validation and pan-cancer analysis identified COL10A1 as a novel oncogene and potential therapeutic target in prostate cancer. Aging. 15(24). 15134–15160. 5 indexed citations
5.
Liu, Dongze, et al.. (2023). Anoikis-related gene signature as novel prognostic biomarker to predict immunotherapy with bladder urothelial carcinoma. ONCOLOGIE. 25(3). 291–308. 2 indexed citations
6.
Li, Bo, Yan Liu, Kuo Yang, et al.. (2023). STIL/AURKA axis promotes cell proliferation by influencing primary cilia formation in bladder cancer. Journal of Translational Medicine. 21(1). 281–281. 9 indexed citations
7.
Yan, Ming, et al.. (2021). Elevated Serum FGG Levels Prognosticate and Promote the Disease Progression in Prostate Cancer. Frontiers in Genetics. 12. 651647–651647. 22 indexed citations
8.
Luo, Fei, et al.. (2020). Lamin B1 Promotes Tumor Progression and Metastasis in Primary Prostate Cancer Patients. Future Oncology. 17(6). 663–673. 13 indexed citations
9.
Wang, Jianan, Lin Wang, Ella X. Du, et al.. (2020). PKMYT1 is associated with prostate cancer malignancy and may serve as a therapeutic target. Gene. 744. 144608–144608. 30 indexed citations
10.
Wang, Jianan, et al.. (2019). Silencing TTK expression inhibits the proliferation and progression of prostate cancer. Experimental Cell Research. 385(1). 111669–111669. 31 indexed citations
11.
Lü, Chao, Changli Wu, Zhihong Zhang, et al.. (2018). Selective Actionable and Druggable Protein Kinases Drive the Progression of Neuroendocrine Prostate Cancer. DNA and Cell Biology. 37(9). 758–766. 2 indexed citations
12.
Du, E, Changwen Zhang, Kuo Yang, et al.. (2017). Low expression of TMEM67 is a critical predictor of poor prognosis in human urothelial carcinoma of the bladder. Urologic Oncology Seminars and Original Investigations. 35(4). 152.e7–152.e12. 1 indexed citations
13.
Jiang, Xingkang, Yue Chen, E Du, et al.. (2016). GATA3-driven expression of miR-503 inhibits prostate cancer progression by repressing ZNF217 expression. Cellular Signalling. 28(9). 1216–1224. 36 indexed citations
14.
15.
Zhao, Chengxiao, Ming Liu, Jianye Wang, et al.. (2013). Association of 8 Loci on Chromosome 8q24 with Prostate Carcinoma Risk in Northern Chinese Men. Asian Pacific Journal of Cancer Prevention. 14(11). 6733–6738. 7 indexed citations
16.
Lin, Dong, Ladan Fazli, Kuo Yang, et al.. (2013). BIRC6 Protein, an Inhibitor of Apoptosis: Role in Survival of Human Prostate Cancer Cells. PLoS ONE. 8(2). e55837–e55837. 30 indexed citations
17.
Yang, Kuo, Chao Meng, Yong Xu, et al.. (2012). Expression and significance of vasculogenic mimicry and matrix metalloproteinase-2 in prostate cancer. Zhonghua miniao waike zazhi. 33(10). 791–794. 1 indexed citations
18.
Liu, Wei, et al.. (2012). Metabolic regulatory and anti-oxidative effects of modified bushen huoxue decoction (补肾活血方) on experimental rabbit model of osteoarthritis. Chinese Journal of Integrative Medicine. 19(6). 459–463. 12 indexed citations
19.
Chen, Yue, Gang Wang, Deling Kong, et al.. (2012). In vitro and in vivo double-enhanced suicide gene therapy mediated by generation 5 polyamidoamine dendrimers for PC-3 cell line. World Journal of Surgical Oncology. 10(1). 3–3. 8 indexed citations
20.
Zhang, Zhihong, Xiaolei Guo, Baojie Ma, et al.. (2009). Prevalence of benign prostate hyperplasia and its relative factors in rural areas of Tianjin in 2008. Zhonghua miniao waike zazhi. 30(11). 761–764. 2 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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