Weiming Zhao

1.0k total citations
43 papers, 761 citations indexed

About

Weiming Zhao is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Weiming Zhao has authored 43 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Epidemiology. Recurrent topics in Weiming Zhao's work include Cancer-related Molecular Pathways (12 papers), Cervical Cancer and HPV Research (12 papers) and Molecular Biology Techniques and Applications (6 papers). Weiming Zhao is often cited by papers focused on Cancer-related Molecular Pathways (12 papers), Cervical Cancer and HPV Research (12 papers) and Molecular Biology Techniques and Applications (6 papers). Weiming Zhao collaborates with scholars based in China, United States and Canada. Weiming Zhao's co-authors include Mei Qi, Xiuping Yu, Weifang Zhang, Yi Lu, Wei Tang, Juan Liu, Xiao Wang, Tingting Feng, Hanxiang Chen and Zijian Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Biochemistry and Journal of Virology.

In The Last Decade

Weiming Zhao

41 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Zhao China 17 459 152 140 136 124 43 761
Patrick Gonzalez France 9 257 0.6× 123 0.8× 184 1.3× 155 1.1× 98 0.8× 15 572
Lucía Cabal‐Hierro United States 10 316 0.7× 130 0.9× 107 0.8× 172 1.3× 270 2.2× 16 796
Zhonghua Chu China 17 461 1.0× 182 1.2× 56 0.4× 227 1.7× 207 1.7× 36 759
Jens Würthner Germany 12 326 0.7× 68 0.4× 48 0.3× 94 0.7× 104 0.8× 15 549
Romania Stilo Italy 17 366 0.8× 322 2.1× 95 0.7× 112 0.8× 412 3.3× 37 818
Lin Liang China 14 248 0.5× 133 0.9× 183 1.3× 57 0.4× 100 0.8× 36 561
Germana Grassi Italy 13 277 0.6× 157 1.0× 152 1.1× 100 0.7× 133 1.1× 28 684
Seon-Ah Ha South Korea 14 447 1.0× 124 0.8× 113 0.8× 180 1.3× 304 2.5× 20 928
Tiffany A. Coon United States 19 743 1.6× 141 0.9× 207 1.5× 174 1.3× 242 2.0× 27 1.1k

Countries citing papers authored by Weiming Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Zhao. A scholar is included among the top collaborators of Weiming Zhao 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 Weiming Zhao. Weiming Zhao 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.
Wang, Xiao, et al.. (2020). miR-106a Regulates Cell Proliferation and Autophagy by Targeting LKB1 in HPV-16–Associated Cervical Cancer. Molecular Cancer Research. 18(8). 1129–1141. 32 indexed citations
3.
Zhao, Weiming, et al.. (2019). Silencing circular RNA circZNF609 restrains growth, migration and invasion by up-regulating microRNA-186-5p in prostate cancer. Artificial Cells Nanomedicine and Biotechnology. 47(1). 3350–3358. 38 indexed citations
4.
Chen, Ying, Mei Qi, Xiao Wang, et al.. (2018). INPP4B restrains cell proliferation and metastasis via regulation of the PI3K/AKT/SGK pathway. Journal of Cellular and Molecular Medicine. 22(5). 2935–2943. 36 indexed citations
5.
Chen, Hanxiang, Qishu Zhang, Lijun Qiao, et al.. (2017). Cdc6 contributes to abrogating the G1 checkpoint under hypoxic conditions in HPV E7 expressing cells. Scientific Reports. 7(1). 2927–2927. 10 indexed citations
6.
Sun, Xinhai, Weiming Zhao, Minghua Ren, et al.. (2017). Lemur Tyrosine Kinase-3 Suppresses Growth of Prostate Cancer Via the AKT and MAPK Signaling Pathways. Cellular Physiology and Biochemistry. 42(6). 2582–2592. 8 indexed citations
7.
Wang, Xiao, Peng Gao, Meng Wang, et al.. (2017). Feedback between E2F1 and CIP2A regulated by human papillomavirus E7 in cervical cancer: implications for prognosis.. PubMed. 9(5). 2327–2339. 11 indexed citations
8.
Liu, Feng, Wen Zhang, Fusheng Yang, et al.. (2016). Interleukin-6-stimulated progranulin expression contributes to the malignancy of hepatocellular carcinoma cells by activating mTOR signaling. Scientific Reports. 6(1). 21260–21260. 57 indexed citations
9.
Xu, Xiaoying, Fusheng Yang, Yihan Zhao, et al.. (2016). Progranulin protects against endotoxin-induced acute kidney injury by downregulating renal cell death and inflammatory responses in mice. International Immunopharmacology. 38. 409–419. 21 indexed citations
10.
Zhang, Xiaoli, Hanxiang Chen, Xiao Wang, Weiming Zhao, & Jason J. Chen. (2014). Expression and transcriptional profiling of the LKB1 tumor suppressor in cervical cancer cells. Gynecologic Oncology. 134(2). 372–378. 16 indexed citations
11.
Lu, Yi, Zheng Lin, Wen Zhang, et al.. (2014). Growth factor progranulin contributes to cervical cancer cell proliferation and transformation in vivo and in vitro. Gynecologic Oncology. 134(2). 364–371. 29 indexed citations
12.
Tang, Wei, Fanhua Wei, Hong Wang, et al.. (2013). Radiation-inducible protein RbAp48 contributes to radiosensitivity of cervical cancer cells. Gynecologic Oncology. 130(3). 601–608. 18 indexed citations
13.
Wang, Hong, Lei Zhao, Ying Peng, et al.. (2012). Protective role of a-galactosylceramide-stimulated natural killer T cells in genital tract infection withChlamydia muridarum. FEMS Immunology & Medical Microbiology. 65(1). 43–54. 15 indexed citations
14.
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
15.
Zhang, Weifang, Yonghao Tian, Jason J. Chen, Weiming Zhao, & Xiuping Yu. (2012). A postulated role of p130 in telomere maintenance by human papillomavirus oncoprotein E7. Medical Hypotheses. 79(2). 178–180. 1 indexed citations
16.
Li, Jing, Xiao Wang, Juan Liu, et al.. (2010). Replication and transcription of human papillomavirus type 58 genome in Saccharomyces cerevisiae. Virology Journal. 7(1). 368–368. 1 indexed citations
17.
Li, Jing, et al.. (2008). A waterbath method for preparation of RNA from Saccharomyces cerevisiae. Analytical Biochemistry. 384(1). 189–190. 7 indexed citations
18.
Zhao, Weiming, Yong Xu, Deling Kong, et al.. (2008). Tissue-selective RNA interference in prostate cancer cell using prostate specific membrane antigen promoter/enhancer. Urologic Oncology Seminars and Original Investigations. 27(5). 539–547. 12 indexed citations
19.
Kong, Li, Xiuping Yu, Xiaohui Bai, et al.. (2007). RbAp48 Is a Critical Mediator Controlling the Transforming Activity of Human Papillomavirus Type 16 in Cervical Cancer. Journal of Biological Chemistry. 282(36). 26381–26391. 36 indexed citations
20.
Zhao, Lihong, Yuyan Ma, Hong Wang, et al.. (2006). Establishment and Application of a TaqMan Real-Time Quantitative Reverse Transcription-Polymerase Chain Reaction Assay for <italic>Rubella Virus</italic> RNA. Acta Biochimica et Biophysica Sinica. 38(10). 731–736. 8 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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