Chuize Kong

3.2k total citations
134 papers, 2.3k citations indexed

About

Chuize Kong is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Chuize Kong has authored 134 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 49 papers in Cancer Research and 31 papers in Surgery. Recurrent topics in Chuize Kong's work include Cancer-related molecular mechanisms research (24 papers), Bladder and Urothelial Cancer Treatments (23 papers) and Epigenetics and DNA Methylation (18 papers). Chuize Kong is often cited by papers focused on Cancer-related molecular mechanisms research (24 papers), Bladder and Urothelial Cancer Treatments (23 papers) and Epigenetics and DNA Methylation (18 papers). Chuize Kong collaborates with scholars based in China, United States and Japan. Chuize Kong's co-authors include Yuyan Zhu, Jianbin Bi, Zeliang Li, Zhe Zhang, Xiankui Liu, Chiyuan Piao, Xiaolu Cui, Zhe Zhang, Zhe Zhang and Xiaojun Man and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Chuize Kong

130 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuize Kong China 28 1.5k 980 361 299 286 134 2.3k
Yanqing Gong China 30 1.4k 0.9× 884 0.9× 502 1.4× 507 1.7× 430 1.5× 115 2.4k
Zhi‐Guang Huang China 19 1.5k 1.0× 1.1k 1.1× 246 0.7× 246 0.8× 180 0.6× 110 2.3k
Minfeng Chen China 25 1.3k 0.8× 607 0.6× 439 1.2× 465 1.6× 278 1.0× 85 2.2k
Min‐Wei Chen China 27 1.3k 0.9× 411 0.4× 676 1.9× 460 1.5× 154 0.5× 56 2.4k
Alexander Kirschenbaum United States 30 1.3k 0.8× 686 0.7× 749 2.1× 549 1.8× 214 0.7× 62 3.2k
Takumi Shiraishi Japan 22 1.4k 0.9× 426 0.4× 329 0.9× 390 1.3× 165 0.6× 94 2.1k
Wen‐Lung Ma Taiwan 23 839 0.5× 480 0.5× 458 1.3× 326 1.1× 216 0.8× 68 1.9k
Paul Thelen Germany 27 1.1k 0.7× 386 0.4× 594 1.6× 306 1.0× 171 0.6× 83 2.0k
Yongde Luo United States 29 1.9k 1.2× 403 0.4× 197 0.5× 203 0.7× 208 0.7× 62 2.5k

Countries citing papers authored by Chuize Kong

Since Specialization
Citations

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

Fields of papers citing papers by Chuize Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuize Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Chuize Kong. A scholar is included among the top collaborators of Chuize Kong 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 Chuize Kong. Chuize Kong 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.
Liu, Zhuonan, et al.. (2025). METTL14‐mediated m6A modification of ZFP14 inhibits clear cell renal cell carcinoma progression via promoting STAT3 ubiquitination. Clinical and Translational Medicine. 15(2). e70232–e70232.
2.
Peng, Xin, et al.. (2024). Ferroptosis Is Crucial for Cisplatin Induced Sertoli Cell Injury via N6-Methyladenosine Dependent Manner. The World Journal of Men s Health. 42(4). 865–865. 6 indexed citations
3.
Li, Yuchen, Chiyuan Piao, & Chuize Kong. (2024). Stearoyl CoA desaturase inhibition can effectively induce apoptosis in bladder cancer stem cells. Cancer Cell International. 24(1). 357–357. 1 indexed citations
4.
Fan, Yu, Dahong Zhang, Fangjian Zhou, et al.. (2024). PD-L1 expression and its correlation with tumor biomarkers in Chinese urothelial bladder cancer. Scientific Reports. 14(1). 16753–16753.
5.
Sun, Shanshan, et al.. (2022). An HDAC9-associated immune-related signature predicts bladder cancer prognosis. PLoS ONE. 17(3). e0264527–e0264527. 4 indexed citations
6.
Liu, Xi, Shuangjie Liu, Chiyuan Piao, et al.. (2021). Non‐metabolic function of MTHFD2 activates CDK2 in bladder cancer. Cancer Science. 112(12). 4909–4919. 23 indexed citations
7.
Kong, Chuize, et al.. (2021). Down-regulation LncRNA-SNHG15 contributes to proliferation and invasion of bladder cancer cells. BMC Urology. 21(1). 83–83. 10 indexed citations
8.
Liu, Shuangjie, Jiaxing Lin, Wenjun Hao, et al.. (2020). A pan-cancer analysis of molecular characteristics and oncogenic role of hexokinase family genes in human tumors. Life Sciences. 264. 118669–118669. 19 indexed citations
9.
Zhang, Gejun, et al.. (2019). PAGE4 promotes prostate cancer cells survive under oxidative stress through modulating MAPK/JNK/ERK pathway. Journal of Experimental & Clinical Cancer Research. 38(1). 24–24. 29 indexed citations
10.
Wang, Yu, et al.. (2019). Analysis of imaging and pathological features of renal neoplasms among different pathological types. Zhonghua miniao waike zazhi. 40(5). 374–379. 1 indexed citations
11.
Zhang, Xiaotong, Chiyuan Piao, Jianbin Bi, et al.. (2019). A long non-coding RNA signature to improve prognostic prediction in clear cell renal cell carcinoma. Biomedicine & Pharmacotherapy. 118. 109079–109079. 21 indexed citations
12.
Man, Xiaojun, Chiyuan Piao, Xuyong Lin, et al.. (2019). USP13 functions as a tumor suppressor by blocking the NF-kB-mediated PTEN downregulation in human bladder cancer. Journal of Experimental & Clinical Cancer Research. 38(1). 259–259. 72 indexed citations
13.
Zeng, Yu, Dong Gao, Takumi Shiraishi, et al.. (2013). Stress-Response Protein RBM3 Attenuates the Stem-like Properties of Prostate Cancer Cells by Interfering with CD44 Variant Splicing. Cancer Research. 73(13). 4123–4133. 49 indexed citations
14.
Zeng, Yu, Dong Gao, John J. Kim, et al.. (2013). Prostate-associated gene 4 (PAGE4) protects cells against stress by elevating p21 and suppressing reactive oxygen species production.. PubMed Central. 1(1). 39–52. 20 indexed citations
15.
Kong, Chuize, et al.. (2013). Loss of P53 facilitates invasion and metastasis of prostate cancer cells. Molecular and Cellular Biochemistry. 384(1-2). 121–127. 34 indexed citations
16.
Chen, Qiguang, et al.. (2011). The role of zinc transporter ZIP4 in prostate carcinoma. Urologic Oncology Seminars and Original Investigations. 30(6). 906–911. 46 indexed citations
17.
Zhu, Yuyan, Meng Yu, Zhenhua Li, et al.. (2010). ncRAN, a Newly Identified Long Noncoding RNA, Enhances Human Bladder Tumor Growth, Invasion, and Survival. Urology. 77(2). 510.e1–510.e5. 82 indexed citations
18.
Zhang, Yuxi, Chuize Kong, Huiqing Wang, et al.. (2009). Phosphorylation of Bcl-2 and activation of caspase-3 via the c-Jun N-terminal kinase pathway in ursolic acid-induced DU145 cells apoptosis. Biochimie. 91(9). 1173–1179. 45 indexed citations
19.
Wu, Shiliang, Ning-chen Li, Shaopeng Qiu, et al.. (2006). Natural history of benign prostate hyperplasia. Chinese Medical Journal. 119(24). 2085–2089. 5 indexed citations
20.
Kong, Chuize, et al.. (2004). Increased expression of lung resistance‐related protein in lower grade urothelial carcinoma of the renal pelvis and ureter. International Journal of Urology. 11(9). 721–727. 5 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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