Shimiao Zhu

1.4k total citations
38 papers, 1.0k citations indexed

About

Shimiao Zhu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Shimiao Zhu has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 19 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Shimiao Zhu's work include Prostate Cancer Treatment and Research (15 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Cancer-related molecular mechanisms research (4 papers). Shimiao Zhu is often cited by papers focused on Prostate Cancer Treatment and Research (15 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Cancer-related molecular mechanisms research (4 papers). Shimiao Zhu collaborates with scholars based in China, United States and Denmark. Shimiao Zhu's co-authors include Zhiqun Shang, Ning Jiang, Libin Sun, Yuanjie Niu, Yuanjie Niu, Jianpeng Yu, Boya Zhang, Chawnshang Chang, Jinsheng Zhao and Fanzheng Meng and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Shimiao Zhu

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shimiao Zhu China 19 525 388 327 192 125 38 1.0k
Claudio De Vito Switzerland 15 358 0.7× 203 0.5× 227 0.7× 158 0.8× 184 1.5× 42 824
Federica Torricelli Italy 18 471 0.9× 241 0.6× 212 0.6× 208 1.1× 77 0.6× 80 1.0k
Hisashi Hasumi Japan 20 700 1.3× 697 1.8× 213 0.7× 173 0.9× 145 1.2× 73 1.4k
Matteo Trucco United States 17 354 0.7× 392 1.0× 160 0.5× 322 1.7× 267 2.1× 37 992
Neel Shah United States 12 484 0.9× 827 2.1× 317 1.0× 232 1.2× 140 1.1× 20 1.2k
Masanobu Kiriyama Japan 18 536 1.0× 273 0.7× 155 0.5× 346 1.8× 149 1.2× 63 1.1k
Mateus Camargo Barros‐Filho Brazil 18 479 0.9× 137 0.4× 322 1.0× 133 0.7× 149 1.2× 45 879
Shannon Chuai China 18 335 0.6× 770 2.0× 429 1.3× 507 2.6× 132 1.1× 37 1.5k
Tetsukan Woo Japan 19 378 0.7× 374 1.0× 223 0.7× 355 1.8× 57 0.5× 42 880
Quancai Cui China 20 411 0.8× 157 0.4× 158 0.5× 281 1.5× 172 1.4× 61 1.0k

Countries citing papers authored by Shimiao Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Shimiao Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shimiao Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Shimiao Zhu. A scholar is included among the top collaborators of Shimiao Zhu 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 Shimiao Zhu. Shimiao Zhu 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
2.
3.
Li, Yajun, et al.. (2024). MMPs-related risk model identification and SAA1 promotes clear cell renal cell carcinoma migration via ERK-AP1-MMPs axis. Scientific Reports. 14(1). 9411–9411. 1 indexed citations
4.
Zhang, Mingpeng, Boya Zhang, Chunhui Wang, et al.. (2023). P300/SP1 complex mediating elevated METTL1 regulates CDK14 mRNA stability via internal m7G modification in CRPC. Journal of Experimental & Clinical Cancer Research. 42(1). 215–215. 29 indexed citations
5.
Li, Yang, Shimiao Zhu, Yutong Chen, et al.. (2023). Post-transcriptional modification of m6A methylase METTL3 regulates ERK-induced androgen-deprived treatment resistance prostate cancer. Cell Death and Disease. 14(4). 289–289. 25 indexed citations
6.
Zhu, Shimiao, Yang Zhao, Zheng Zhang, et al.. (2023). HOXB3 drives WNT-activation associated progression in castration-resistant prostate cancer. Cell Death and Disease. 14(3). 215–215. 6 indexed citations
7.
Zhu, Shimiao, Zheng Zhang, Hui Zhang, et al.. (2022). DNA‐repair status should be assessed in treatment‐emergent neuroendocrine prostate cancer before platinum‐based therapy. The Prostate. 82(4). 464–474. 3 indexed citations
8.
Chen, Xuanrong, Yi Shao, Shimiao Zhu, et al.. (2022). Androgen deprivation restores ARHGEF2 to promote neuroendocrine differentiation of prostate cancer. Cell Death and Disease. 13(11). 927–927. 5 indexed citations
9.
Shang, Zhiqun, Jianpeng Yu, Libin Sun, et al.. (2019). LncRNA PCAT1 activates AKT and NF-κB signaling in castration-resistant prostate cancer by regulating the PHLPP/FKBP51/IKKα complex. Nucleic Acids Research. 47(8). 4211–4225. 137 indexed citations
10.
Zhu, Shimiao, Hao Tian, Xiaodan Niu, et al.. (2019). Neurotensin and its receptors mediate neuroendocrine transdifferentiation in prostate cancer. Oncogene. 38(24). 4875–4884. 32 indexed citations
11.
Yu, Jianpeng, Libin Sun, Boya Zhang, et al.. (2019). Restoration of FKBP51 protein promotes the progression of castration resistant prostate cancer. Annals of Translational Medicine. 7(23). 729–729. 17 indexed citations
12.
Hu, Jieping, Jing Tian, Shimiao Zhu, et al.. (2017). Sox5 contributes to prostate cancer metastasis and is a master regulator of TGF-β-induced epithelial mesenchymal transition through controlling Twist1 expression. British Journal of Cancer. 118(1). 88–97. 61 indexed citations
13.
Meng, Fanzheng, Shimiao Zhu, Jinsheng Zhao, et al.. (2016). Stroke related to androgen deprivation therapy for prostate cancer: a meta-analysis and systematic review. BMC Cancer. 16(1). 180–180. 48 indexed citations
14.
Hu, Jieping, Shimiao Zhu, Libin Sun, et al.. (2015). Catalase C-262T polymorphism and risk of prostate cancer: Evidence from meta-analysis. Gene. 558(2). 265–270. 15 indexed citations
15.
Shang, Zhiqun, Qiliang Cai, Minghao Zhang, et al.. (2014). A switch from CD44+ cell to EMT cell drives the metastasis of prostate cancer. Oncotarget. 6(2). 1202–1216. 50 indexed citations
16.
Wen, Simeng, Zhiqun Shang, Shimiao Zhu, Chawnshang Chang, & Yuanjie Niu. (2013). Androgen receptor enhances entosis, a non‐apoptotic cell death, through modulation of Rho/ROCK pathway in prostate cancer cells. The Prostate. 73(12). 1306–1315. 25 indexed citations
17.
Jiang, Xingkang, Shimiao Zhu, Guowei Feng, et al.. (2013). Is an Initial Saturation Prostate Biopsy Scheme Better than an Extended Scheme for Detection of Prostate Cancer? A Systematic Review and Meta-analysis. European Urology. 63(6). 1031–1039. 28 indexed citations
18.
Zhao, Lin, Shimiao Zhu, Ying Gao, & Yaogang Wang. (2013). Two-gene expression ratio as predictor for breast cancer treated with tamoxifen: evidence from meta-analysis. Tumor Biology. 35(4). 3113–3117. 5 indexed citations
19.
Zhu, Shimiao, Yang Tang, Kai Li, et al.. (2013). Optimal schedule of bacillus calmette-guerin for non-muscle-invasive bladder cancer: a meta-analysis of comparative studies. BMC Cancer. 13(1). 332–332. 22 indexed citations
20.
Chen, Jing, Shimiao Zhu, Ning Jiang, et al.. (2012). HoxB3 promotes prostate cancer cell progression by transactivating CDCA3. Cancer Letters. 330(2). 217–224. 62 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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