Xuping Fu

824 total citations
24 papers, 672 citations indexed

About

Xuping Fu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xuping Fu has authored 24 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Xuping Fu's work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and Gene expression and cancer classification (4 papers). Xuping Fu is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and Gene expression and cancer classification (4 papers). Xuping Fu collaborates with scholars based in China and United States. Xuping Fu's co-authors include Yumin Mao, Yan Huang, Yao Li, Chao Cheng, Pedro Alves, Mark Gerstein, Yi Xie, Yao Li, Yi Xie and Kang Ying and has published in prestigious journals such as Endocrine Reviews, Journal of Agricultural and Food Chemistry and Free Radical Biology and Medicine.

In The Last Decade

Xuping Fu

24 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuping Fu China 15 441 183 113 88 76 24 672
Sarah Maguire United Kingdom 11 607 1.4× 116 0.6× 151 1.3× 112 1.3× 112 1.5× 17 874
Yueyong Liu China 17 600 1.4× 143 0.8× 130 1.2× 46 0.5× 91 1.2× 27 913
Madavan Vasudevan India 19 540 1.2× 220 1.2× 83 0.7× 62 0.7× 148 1.9× 56 949
Sunil K. Malonia United States 14 572 1.3× 176 1.0× 94 0.8× 119 1.4× 71 0.9× 25 1.0k
Shudai Lin China 16 428 1.0× 231 1.3× 57 0.5× 157 1.8× 40 0.5× 48 777
Shahid Banday United States 10 506 1.1× 125 0.7× 36 0.3× 101 1.1× 74 1.0× 18 868
Travis Henry United States 6 211 0.5× 104 0.6× 97 0.9× 50 0.6× 150 2.0× 17 627
Wing Yin Cheng Hong Kong 10 521 1.2× 199 1.1× 67 0.6× 40 0.5× 29 0.4× 11 720

Countries citing papers authored by Xuping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xuping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuping Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuping Fu. A scholar is included among the top collaborators of Xuping Fu 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 Xuping Fu. Xuping Fu 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.
Zhang, Deqiang, Chengwen Chen, Yuan Li, et al.. (2011). Cx31.1 acts as a tumour suppressor in non‐small cell lung cancer (NSCLC) cell lines through inhibition of cell proliferation and metastasis. Journal of Cellular and Molecular Medicine. 16(5). 1047–1059. 33 indexed citations
2.
Chen, Chengwen, Xuping Fu, Deqiang Zhang, et al.. (2011). Varied Pathways of Stage IA Lung Adenocarcinomas Discovered by Integrated Gene Expression Analysis. International Journal of Biological Sciences. 7(5). 551–566. 7 indexed citations
3.
4.
Fu, Xuping, Chenyi Xue, Yan Huang, Yi Xie, & Yao Li. (2010). The activity and expression of microRNAs in prostate cancers. Molecular BioSystems. 6(12). 2561–2572. 16 indexed citations
5.
Wang, Xiaoli, Yi Guo, Shu Yang, et al.. (2010). Cellular and Molecular Mechanisms of Photodynamic Hypericin Therapy for Nasopharyngeal Carcinoma Cells. Journal of Pharmacology and Experimental Therapeutics. 334(3). 847–853. 41 indexed citations
6.
Guo, Yi, Jiaxin Chen, Shu Yang, et al.. (2010). Selection of reliable reference genes for gene expression study in nasopharyngeal carcinoma. Acta Pharmacologica Sinica. 31(11). 1487–1494. 31 indexed citations
7.
Sun, Ruping, Xuping Fu, Yao Li, Yi Xie, & Yumin Mao. (2009). Global gene expression analysis reveals reduced abundance of putative microRNA targets in human prostate tumours. BMC Genomics. 10(1). 93–93. 36 indexed citations
8.
Cheng, Chao, Xuping Fu, Pedro Alves, & Mark Gerstein. (2009). mRNA expression profiles show differential regulatory effects of microRNAs between estrogen receptor-positive and estrogen receptor-negative breast cancer. Genome biology. 10(9). R90–R90. 87 indexed citations
9.
Jiang, Mei, Yun‐Sheng Ma, Congcong Chen, et al.. (2009). Androgen-Responsive Gene Database: Integrated Knowledge on Androgen-Responsive Genes. Molecular Endocrinology. 23(11). 1927–1933. 53 indexed citations
10.
Liu, Lingfeng, Chaoneng Ji, Jinzhong Chen, et al.. (2008). A global genomic view of MIF knockdown-mediated cell cycle arrest. Cell Cycle. 7(11). 1678–1692. 25 indexed citations
11.
Zhao, Wenjuan, et al.. (2008). Generation and analysis of expressed sequence tags from a cDNA library of Moniezia expansa. Molecular and Biochemical Parasitology. 164(1). 80–85. 16 indexed citations
12.
Jiang, Mei, Ming Li, Xuping Fu, et al.. (2008). Simultaneously detection of genomic and expression alterations in prostate cancer using cDNA microarray. The Prostate. 68(14). 1496–1509. 20 indexed citations
13.
Zhang, Deqiang, Chengwen Chen, Xuping Fu, et al.. (2007). A meta-analysis of DNA repair gene XPC polymorphisms and cancer risk. Journal of Human Genetics. 53(1). 18–33. 46 indexed citations
14.
Li, Yuanchun, Shaohua Gu, Qihan Wu, et al.. (2007). No association of ERCC1 C8092A and T19007C polymorphisms to cancer risk: a meta-analysis. European Journal of Human Genetics. 15(9). 967–973. 22 indexed citations
15.
Liu, Sanzhen, Yao Li, Xuping Fu, et al.. (2005). Analysis of the factors affecting the accuracy of detection for single base alterations by oligonucleotide microarray. Experimental & Molecular Medicine. 37(2). 71–77. 7 indexed citations
16.
Wang, Yan, Yingying Cao, Xin‐Ming Jia, et al.. (2005). Cap1p is involved in multiple pathways of oxidative stress response in Candida albicans. Free Radical Biology and Medicine. 40(7). 1201–1209. 119 indexed citations
17.
Xu, Zheng, Yongbing Cao, Jundong Zhang, et al.. (2005). cDNA Array Analysis of the Differential Expression Change in Virulence-related Genes During the Development of Resistance in <italic>Candida albicans</italic>. Acta Biochimica et Biophysica Sinica. 37(7). 463–472. 8 indexed citations
18.
Zhao, Enpeng, Yao Li, Xuping Fu, et al.. (2004). Cloning and Expression of Human GTDC1 Gene (Glycosyltransferase-Like Domain Containing 1) from Human Fetal Library. DNA and Cell Biology. 23(3). 183–187. 9 indexed citations
19.
Zhao, Enpeng, Yao Li, Xuping Fu, et al.. (2003). Cloning and Characterization of Human Synaptotagmin 10 Gene. DNA sequence. 14(5). 393–398. 2 indexed citations
20.
Wu, Qihan, Ming Xu, Chao Cheng, et al.. (2001). Molecular cloning and characterization of a novel Dehydrogenase/reductase (SDR family) member 1 genea from human fetal brain. Molecular Biology Reports. 28(4). 193–198. 3 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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