Ningzhi Xu

9.4k total citations · 2 hit papers
158 papers, 7.4k citations indexed

About

Ningzhi Xu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ningzhi Xu has authored 158 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Molecular Biology, 43 papers in Oncology and 33 papers in Cancer Research. Recurrent topics in Ningzhi Xu's work include Cancer-related Molecular Pathways (16 papers), MicroRNA in disease regulation (16 papers) and Cancer-related gene regulation (15 papers). Ningzhi Xu is often cited by papers focused on Cancer-related Molecular Pathways (16 papers), MicroRNA in disease regulation (16 papers) and Cancer-related gene regulation (15 papers). Ningzhi Xu collaborates with scholars based in China, United States and India. Ningzhi Xu's co-authors include J. Silvio Gutkind, Piero Crespo, Hongxia Zhu, Omar A. Coso, Hidemi Teramoto, M Chiariello, Jin‐Chen Yu, Toru Miki, William F. Simonds and Shufang Liang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ningzhi Xu

158 papers receiving 7.2k citations

Hit Papers

The small GTP-binding proteins Rac1 and Cdc42regulate the... 1994 2026 2004 2015 1995 1994 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ningzhi Xu China 41 5.4k 1.5k 1.3k 1.1k 818 158 7.4k
Andrew D Sharrocks United Kingdom 48 7.3k 1.4× 1.3k 0.9× 1.7k 1.3× 801 0.7× 1.0k 1.3× 106 9.2k
Anke Klippel United States 40 6.2k 1.2× 831 0.6× 1.3k 1.0× 1.3k 1.1× 967 1.2× 67 8.0k
Alan P. Fields United States 54 6.1k 1.1× 1.1k 0.7× 1.8k 1.4× 1.4k 1.2× 612 0.7× 120 7.9k
Daniel Heß Switzerland 53 6.6k 1.2× 965 0.7× 1.2k 0.9× 1.1k 1.0× 735 0.9× 126 8.6k
Hans van Dam Netherlands 44 4.4k 0.8× 1.1k 0.8× 1.6k 1.2× 663 0.6× 873 1.1× 77 5.9k
Luisa Lanfrancone Italy 38 4.9k 0.9× 813 0.6× 1.6k 1.2× 839 0.8× 1.2k 1.5× 95 7.8k
Benjamin P.C. Chen United States 41 4.8k 0.9× 974 0.7× 1.7k 1.3× 809 0.7× 955 1.2× 85 7.1k
Sam W. Lee United States 48 5.0k 0.9× 1.1k 0.7× 2.3k 1.8× 906 0.8× 1.2k 1.5× 93 7.1k
Tuula Kallunki Denmark 31 4.3k 0.8× 1.1k 0.7× 1.2k 0.9× 1000 0.9× 1.1k 1.4× 52 6.3k
Laura Sanz Spain 36 4.1k 0.8× 1.2k 0.8× 1.4k 1.1× 675 0.6× 1.4k 1.7× 103 6.3k

Countries citing papers authored by Ningzhi Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ningzhi Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ningzhi Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ningzhi Xu. A scholar is included among the top collaborators of Ningzhi Xu 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 Ningzhi Xu. Ningzhi Xu 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
3.
Zhao, Yahui, Xianghe Liu, Miaomiao Huo, et al.. (2020). Cetuximab enhances the anti-tumor function of macrophages in an IL-6 dependent manner. Life Sciences. 267. 118953–118953. 18 indexed citations
5.
Yang, Yanfang, Ziwei Liang, Zijing Xia, et al.. (2019). SAE1 promotes human glioma progression through activating AKT SUMOylation-mediated signaling pathways. Cell Communication and Signaling. 17(1). 82–82. 43 indexed citations
6.
Zhu, Wenjie, Mei Liu, Ying Fan, et al.. (2018). Dynamics of circulating microRNAs as a novel indicator of clinical response to neoadjuvant chemotherapy in breast cancer. Cancer Medicine. 7(9). 4420–4433. 34 indexed citations
7.
Yang, Yanfang, Zijing Xia, Xixi Wang, et al.. (2018). Small-Molecule Inhibitors Targeting Protein SUMOylation as Novel Anticancer Compounds. Molecular Pharmacology. 94(2). 885–894. 40 indexed citations
8.
Liu, Xingde, Wenxiu Yang, Zhi-Zhong Guan, et al.. (2018). There are only four basic modes of cell death, although there are many ad-hoc variants adapted to different situations. Cell & Bioscience. 8(1). 6–6. 48 indexed citations
9.
Zhang, Dan, Xixi Wang, Peng Zhang, et al.. (2017). PGRMC1 Is a Novel Potential Tumor Biomarker of Human Renal Cell Carcinoma Based on Quantitative Proteomic and Integrative Biological Assessments. PLoS ONE. 12(1). e0170453–e0170453. 26 indexed citations
10.
Ma, Kai, Hongxia Zhu, Shuren Wang, et al.. (2017). Molecular, biological characterization and drug sensitivity of chidamide‑resistant non‑small cell lung cancer cells. Oncology Letters. 14(6). 6869–6875. 9 indexed citations
11.
Wang, Gangshi, et al.. (2016). Learning about the Importance of Mutation Prevention from Curable Cancers and Benign Tumors. Journal of Cancer. 7(4). 436–445. 14 indexed citations
12.
Xie, Yingying, Lechuang Chen, Guixue Hou, et al.. (2016). The levels of serine proteases in colon tissue interstitial fluid and serum serve as an indicator of colorectal cancer progression. Oncotarget. 7(22). 32592–32606. 20 indexed citations
13.
Liu, Mei, Xin Zhang, Chenfei Hu, et al.. (2014). MicroRNA-mRNA functional pairs for cisplatin resistance in ovarian cancer cells. Chinese Journal of Cancer. 33(6). 285–294. 16 indexed citations
14.
Zhu, Hongxia, Guo Zhang, Yan Wang, et al.. (2010). Inhibition of ErbB2 by Herceptin reduces survivin expression via the ErbB2–β‐catenin/TCF4‐survivin pathway in ErbB2‐overexpressed breast cancer cells. Cancer Science. 101(5). 1156–1162. 32 indexed citations
15.
Yan, Shuang, Cuiqi Zhou, Wei Zhang, et al.. (2008). β-Catenin/TCF pathway upregulates STAT3 expression in human esophageal squamous cell carcinoma. Cancer Letters. 271(1). 85–97. 85 indexed citations
16.
Ren, Yan, Xia Ji, Kang Zhao, et al.. (2007). The Alterations of Mouse Plasma Proteins during Septic Development. Journal of Proteome Research. 6(7). 2812–2821. 21 indexed citations
17.
Wang, Yihua, Stephen M. Hewitt, Shuang Liu, et al.. (2006). Tissue microarray analysis of human FRAT1 expression and its correlation with the subcellular localisation of β-catenin in ovarian tumours. British Journal of Cancer. 94(5). 686–691. 39 indexed citations
18.
Li, Na, Ruifang Guo, Wenmei Li, et al.. (2005). A proteomic investigation into a human gastric cancer cell line BGC823 treated with diallyl trisulfide. Carcinogenesis. 27(6). 1222–1231. 42 indexed citations
19.
Zhu, Hongxia, Cuiqi Zhou, Xiaobo Zhou, et al.. (2003). [Survivin mutants reverse the malignancy of HeLa cells].. PubMed. 22(5). 467–70. 2 indexed citations
20.
Xu, Ningzhi, et al.. (1993). A mutant alpha subunit of G12 potentiates the eicosanoid pathway and is highly oncogenic in NIH 3T3 cells.. Proceedings of the National Academy of Sciences. 90(14). 6741–6745. 154 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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