Guoxiang Wu

607 total citations
12 papers, 494 citations indexed

About

Guoxiang Wu is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Guoxiang Wu has authored 12 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Oncology. Recurrent topics in Guoxiang Wu's work include Cell death mechanisms and regulation (3 papers), Receptor Mechanisms and Signaling (3 papers) and Animal Genetics and Reproduction (3 papers). Guoxiang Wu is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Receptor Mechanisms and Signaling (3 papers) and Animal Genetics and Reproduction (3 papers). Guoxiang Wu collaborates with scholars based in China, United States and Japan. Guoxiang Wu's co-authors include Yalan Wu, Jian Zhao, Wei Hu, Zhi-jie Jey Cheng, Yue Sun, Bo Cen, Gang Pei, Lan Ma, Gang Pei and Zhe Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Guoxiang Wu

12 papers receiving 489 citations

Peers

Countries citing papers authored by Guoxiang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Guoxiang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guoxiang Wu. A scholar is included among the top collaborators of Guoxiang Wu 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 Guoxiang Wu. Guoxiang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	The amyloid structure of mouse RIPK3 (receptor interacting protein kinase 3) in cell necroptosis 2021 ·Nature Communications ·(unknown), Hong Hu, (unknown), Jing Zhang, Jian Wang, Charles D. Schwieters, Jing Liu, Guoxiang Wu, Bing Li, Jing‐Yu Lin, Huayi Wang, Junxia Lu	30
2	ICP6 Prevents RIP1 Activation to Hinder Necroptosis Signaling 2020 ·Frontiers in Cell and Developmental Biology ·Hong Hu, Guoxiang Wu, (unknown), Dandan Yu, (unknown), (unknown), Xiaoyan Liu, Huayi Wang	7
3	RIP3-mediated necroptosis is regulated by inter-filament assembly of RIP homotypic interaction motif 2020 ·Cell Death and Differentiation ·Hong Hu, (unknown), Guoxiang Wu, (unknown), Jing Zhang, Xinxin Zhu, Yu Zhang, (unknown), Jia Liu, Xiaoyan Liu, Junxia Lu, Huayi Wang	34
4	NADPH-Cytochrome P450 Reductase Ccr1 Is a Target of Tamoxifen and Participates in Its Antifungal Activity via Regulating Cell Wall Integrity in Fission Yeast 2020 ·Antimicrobial Agents and Chemotherapy ·Qiannan Liu, (unknown), (unknown), Guoxiang Wu, (unknown), Kun Liu, Si Chen, Norihiro Sakamoto, Takayoshi Kuno, Fan Yao, Yue Fang	15
5	Effects of varicocele upon the expression of apoptosis-related proteins 2010 ·Andrologia ·(unknown), (unknown), Yuanyuan Cheng, (unknown), (unknown), Guoxiang Wu	24
6	Functional disruption of the prion protein gene in cloned goats. J Gen Virol 2006 ·Huiqing Yu, Xu‐Feng Zhang, Jianquan Chen, Siguo Liu, Juan Chen, Xujun Xu, Guohua Yu, Hongying Sha, Guoxiang Wu, (unknown), Guoxiang Cheng	1
7	Functional disruption of the prion protein gene in cloned goats 2006 ·Journal of General Virology ·Guohua Yu, Jianquan Chen, Huiqing Yu, Siguo Liu, Juan Chen, Xujun Xu, Hongying Sha, Xu‐Feng Zhang, Guoxiang Wu, (unknown), Guoxiang Cheng	41
8	Transfer of an expression YAC into goat fetal fibroblasts by cell fusion for mammary gland bioreactor 2005 ·Biochemical and Biophysical Research Communications ·Xu‐Feng Zhang, Guoxiang Wu, Jianquan Chen, Aimin Zhang, Siguo Liu, Binghua Jiao, Guoxiang Cheng	4
9	Significant down-regulation of alpha-albumin in human hepatoma and its implication 2000 ·Cancer Letters ·Guoxiang Wu, Yiming Lin, Tianhua Zhou, Hua Gao, Gang Pei	20
10	β-Arrestin Differentially Regulates the Chemokine Receptor CXCR4-mediated Signaling and Receptor Internalization, and This Implicates Multiple Interaction Sites between β-Arrestin and CXCR4 2000 ·Journal of Biological Chemistry ·Zhi-jie Jey Cheng, Jian Zhao, Yue Sun, Wei Hu, Yalan Wu, Bo Cen, Guoxiang Wu, Gang Pei	183
11	Endogenous δ‐Opioid and ORL₁ Receptors Couple to Phosphorylation and Activation of p38 MAPK in NG108‐15 Cells and This Is Regulated by Protein Kinase A and Protein Kinase C 1999 ·Journal of Neurochemistry ·Zhe Zhang, Shunmei Xin, Guoxiang Wu, (unknown), Lan Ma, Gang Pei	61
12	Five-transmembrane domains appear sufficient for a G protein-coupled receptor: Functional five-transmembrane domain chemokine receptors 1999 ·Proceedings of the National Academy of Sciences ·Kun Ling, Ping Wang, Jian Zhao, Yalan Wu, Zhi-jie Jey Cheng, Guoxiang Wu, Wei Hu, Lan Ma, Gang Pei	74

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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