Rouli Zhou

1.2k total citations
38 papers, 1.1k citations indexed

About

Rouli Zhou is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Rouli Zhou has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Rouli Zhou's work include Ubiquitin and proteasome pathways (14 papers), Glycosylation and Glycoproteins Research (13 papers) and Genomics and Chromatin Dynamics (10 papers). Rouli Zhou is often cited by papers focused on Ubiquitin and proteasome pathways (14 papers), Glycosylation and Glycoproteins Research (13 papers) and Genomics and Chromatin Dynamics (10 papers). Rouli Zhou collaborates with scholars based in China, Greece and United States. Rouli Zhou's co-authors include Jing‐An Rui, Qingyun Zhang, Genze Shao, Fuxia Xiong, Xianhui Zhang, Feng Ke-cheng, Size Yang, Hua Yang, Fanling Meng and Mingzhu Yin and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Cancer.

In The Last Decade

Rouli Zhou

38 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
Rouli Zhou China 19 783 201 196 152 99 38 1.1k
Enrico L. DiGiammarino United States 18 972 1.2× 166 0.8× 887 4.5× 168 1.1× 83 0.8× 30 1.5k
Bose Kochupurakkal United States 16 1.0k 1.3× 183 0.9× 810 4.1× 104 0.7× 33 0.3× 44 1.4k
Viatcheslav A. Soldatenkov United States 17 702 0.9× 86 0.4× 402 2.1× 38 0.3× 84 0.8× 22 1.0k
Norman Chan Canada 15 912 1.2× 414 2.1× 672 3.4× 88 0.6× 32 0.3× 16 1.3k
Mayu Isono Japan 13 522 0.7× 124 0.6× 592 3.0× 115 0.8× 24 0.2× 16 1.0k
Aashish Soni Germany 14 835 1.1× 245 1.2× 393 2.0× 113 0.7× 16 0.2× 29 1.0k
Alberto Peláez‐García Spain 21 821 1.0× 323 1.6× 326 1.7× 71 0.5× 40 0.4× 44 1.3k
Mingqian Feng China 18 598 0.8× 109 0.5× 360 1.8× 295 1.9× 15 0.2× 49 1.3k
Céline Jacquemont United States 13 1.2k 1.5× 293 1.5× 994 5.1× 39 0.3× 37 0.4× 22 1.6k
Atsuko Niimi Japan 16 1.3k 1.7× 336 1.7× 786 4.0× 89 0.6× 13 0.1× 30 1.9k

Countries citing papers authored by Rouli Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Rouli Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rouli Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Rouli Zhou. A scholar is included among the top collaborators of Rouli Zhou 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 Rouli Zhou. Rouli Zhou 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.
Meng, Yue, et al.. (2017). LAPTM4B*2 allele is associated with the development of papillary thyroid carcinoma in Chinese women. Oncology Letters. 14(3). 3421–3428. 1 indexed citations
2.
Liu, Luying, Xuefang Xu, Lili Jing, et al.. (2015). Lysosomal-Associated Protein Transmembrane 4 Beta-35 Overexpression Is a Novel Independent Prognostic Marker for Gastric Carcinoma. PLoS ONE. 10(2). e0118026–e0118026. 11 indexed citations
3.
Wang, Huiling, et al.. (2015). LRD-22, a novel dual dithiocarbamatic acid ester, inhibits Aurora-A kinase and induces apoptosis and cell cycle arrest in HepG2 cells. Biochemical and Biophysical Research Communications. 458(1). 201–207. 4 indexed citations
4.
Zhou, Rouli, et al.. (2014). Relationship Between LAPTM4B Gene Polymorphism and Susceptibility of Malignant Melanoma in Chinese Patients. Translational Oncology. 7(5). 638–643. 9 indexed citations
5.
Liu, Ye, et al.. (2012). Association of LAPTM4B gene polymorphism with breast cancer susceptibility. Cancer Epidemiology. 36(4). 364–368. 24 indexed citations
6.
Huang, Yanyan, Rui Zhao, Shaoxiang Xiong, et al.. (2011). Highly Specific Targeting and Imaging of Live Cancer Cells by Using a Peptide Probe Developed from Rationally Designed Peptides. ChemBioChem. 12(8). 1209–1215. 17 indexed citations
7.
Zhou, Li, et al.. (2011). Overexpression of LAPTM4B-35 attenuates epirubucin-induced apoptosis of gallbladder carcinoma GBC-SD cells. Surgery. 150(1). 25–31. 31 indexed citations
8.
Yin, Mingzhu, Wang Zhang, Fanling Meng, et al.. (2011). LAPTM4B Overexpression is a Novel Independent Prognostic Marker for Metastatic Ovarian Tumors. International Journal of Gynecological Cancer. 22(1). 54–62. 18 indexed citations
9.
Yang, Hua, Ming Lin, Fuxia Xiong, et al.. (2011). Combined lysosomal protein transmembrane 4 beta-35 and argininosuccinate synthetase expression predicts clinical outcome in hepatocellular carcinoma patients. Surgery Today. 41(6). 810–817. 15 indexed citations
10.
Meng, Fanling, Hongtao Song, Mingzhu Yin, et al.. (2011). Correlation of LAPTM4B polymorphisms with cervical carcinoma. Cancer. 117(12). 2652–2658. 30 indexed citations
11.
Yin, Mingzhu, Cong Li, Xia Li, et al.. (2011). Over‐expression of LAPTM4B is associated with poor prognosis and chemotherapy resistance in stages III and IV epithelial ovarian cancer. Journal of Surgical Oncology. 104(1). 29–36. 46 indexed citations
12.
Meng, Fanling, Yuanlong Hu, Mingzhu Yin, et al.. (2010). Overexpression of LAPTM4B-35 in Cervical Carcinoma. International Journal of Gynecological Pathology. 29(6). 587–593. 24 indexed citations
13.
Yin, Mingzhu, Ye Xu, Ge Lou, et al.. (2010). LAPTM4B overexpression is a novel predictor of epithelial ovarian carcinoma metastasis. International Journal of Cancer. 129(3). 629–635. 37 indexed citations
14.
Meng, Fanling, Mingzhu Yin, Hongtao Song, et al.. (2010). LAPTM4B-35 Overexpression Is an Independent Prognostic Marker in Endometrial Carcinoma. International Journal of Gynecological Cancer. 20(5). 745–750. 29 indexed citations
15.
Yang, Hua, et al.. (2010). Overexpression of LAPTM4B-35 promotes growth and metastasis of hepatocellular carcinoma in vitro and in vivo. Cancer Letters. 294(2). 236–244. 69 indexed citations
16.
Zhou, Li, Xiaodong He, Rouli Zhou, et al.. (2009). Overexpression of LAPTM4B promotes growth of gallbladder carcinoma cells in vitro. The American Journal of Surgery. 199(4). 515–521. 30 indexed citations
17.
Zhou, Li, Xiaodong He, Quancai Cui, et al.. (2008). Expression of LAPTM4B-35: A novel marker of progression, invasiveness and poor prognosis of extrahepatic cholangiocarcinoma. Cancer Letters. 264(2). 209–217. 60 indexed citations
18.
He, Jing & Rouli Zhou. (2003). [Correlation of NDRG1 gene with liver tissue differentiation and hepatocarcinogenesis].. PubMed. 35(5). 471–5. 4 indexed citations
19.
20.
Zhu, Xiaoxiang, Meng‐Shen Cai, & Rouli Zhou. (1997). Studies on the synthesis of two tetrasaccharides and the reactivity difference between them. Carbohydrate Research. 303(3). 261–266. 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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