Zhenxing Guo

911 total citations
33 papers, 551 citations indexed

About

Zhenxing Guo is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Zhenxing Guo has authored 33 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Hematology and 8 papers in Immunology. Recurrent topics in Zhenxing Guo's work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer-related gene regulation (5 papers). Zhenxing Guo is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer-related gene regulation (5 papers). Zhenxing Guo collaborates with scholars based in China, United States and Canada. Zhenxing Guo's co-authors include Hao Wu, Peng Jin, Andrew M. Shafik, Renchi Yang, Shihua Zhang, Zhenping Chen, Bing Yao, Qing Dai, Feiran Zhang and Yangping Li and has published in prestigious journals such as Nucleic Acids Research, Blood and Bioinformatics.

In The Last Decade

Zhenxing Guo

27 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhenxing Guo China	12	323	125	112	99	80	33	551
John M. Krill-Burger United States	11	504 1.6×	118 0.9×	79 0.7×	75 0.8×	47 0.6×	14	679
Samuel Zimmerman United States	9	263 0.8×	79 0.6×	71 0.6×	231 2.3×	148 1.9×	14	547
Wenjun Yu China	13	250 0.8×	202 1.6×	125 1.1×	76 0.8×	85 1.1×	36	630
Tomohiro Nishino Japan	13	358 1.1×	172 1.4×	39 0.3×	35 0.4×	57 0.7×	27	702
Meng Cui China	11	142 0.4×	75 0.6×	89 0.8×	25 0.3×	100 1.3×	32	466
Federica Toffalini Belgium	6	207 0.6×	42 0.3×	46 0.4×	67 0.7×	48 0.6×	10	363
Natasa Zamurovic Switzerland	9	365 1.1×	60 0.5×	47 0.4×	29 0.3×	74 0.9×	16	546
D L Boyle United States	11	154 0.5×	53 0.4×	93 0.8×	99 1.0×	234 2.9×	11	713
Jinlong Shi China	17	596 1.8×	353 2.8×	71 0.6×	282 2.8×	98 1.2×	63	846

Countries citing papers authored by Zhenxing Guo

Since Specialization

Citations

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

Fields of papers citing papers by Zhenxing Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenxing Guo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Guo, Zhenxing, et al.. (2025). Smartphone-enabled fluorescence sensing platform for As(V) detection in food and environmental matrices using CeO2@Curcumin fluorescent probe. Talanta. 300. 129210–129210.

Shi, Xingjie, Yi Yang, Xiaohui Ma, et al.. (2023). Probabilistic cell/domain-type assignment of spatial transcriptomics data with SpatialAnno. Nucleic Acids Research. 51(22). e115–e115. 1 indexed citations

Guo, Zhenxing, Andrew M. Shafik, Peng Jin, Zhijin Wu, & Hao Wu. (2023). Analyzing mRNA Epigenetic Sequencing Data with TRESS. Methods in molecular biology. 2624. 163–183. 1 indexed citations

Tang, Wen, et al.. (2023). Evaluation of epitranscriptome-wide N6-methyladenosine differential analysis methods. Briefings in Bioinformatics. 24(3). 6 indexed citations

Guo, Zhenxing, Andrew M. Shafik, Peng Jin, & Hao Wu. (2022). Differential RNA methylation analysis for MeRIP-seq data under general experimental design. Bioinformatics. 38(20). 4705–4712. 11 indexed citations

Shafik, Andrew M., Feiran Zhang, Zhenxing Guo, et al.. (2021). N6-methyladenosine dynamics in neurodevelopment and aging, and its potential role in Alzheimer’s disease. Genome biology. 22(1). 17–17. 181 indexed citations

Dong, Qiongye, Ruiqing Chen, Liqian Xu, et al.. (2021). Oridonin inhibits DNMT3A R882 mutation-driven clonal hematopoiesis and leukemia by inducing apoptosis and necroptosis. Cell Death Discovery. 7(1). 297–297. 20 indexed citations

Guo, Zhenxing, Andrew M. Shafik, Peng Jin, Zhijin Wu, & Hao Wu. (2021). Detecting m6A methylation regions from Methylated RNA Immunoprecipitation Sequencing. Bioinformatics. 37(18). 2818–2824. 13 indexed citations

Chen, Ruiqing, Yang Yang, Hanqing He, et al.. (2021). Aging-elevated inflammation promotes DNMT3A R878H-driven clonal hematopoiesis. Acta Pharmaceutica Sinica B. 12(2). 678–691. 42 indexed citations

10.

Guo, Zhenxing, Zhenping Chen, Yaru Xu, et al.. (2019). The Association of Circulating T Follicular Helper Cells and Regulatory Cells with Acute Myeloid Leukemia Patients. Acta Haematologica. 143(1). 19–25. 7 indexed citations

11.

Xu, Yaru, Li Liu, Pingping Liu, et al.. (2019). [Survival Analysis of 148 Patients with Primary Diffuse Large B Cell Lymphoma].. PubMed. 27(1). 61–66.

12.

Ding, Lijuan, Jiazhen Cui, Yongxian Hu, et al.. (2018). Changes of T Lymphocyte Subsets after CAR-T Cell Therapy and Its Clinical Significance. Blood. 132(Supplement 1). 1423–1423. 2 indexed citations

13.

Hu, Yongxian, Jiasheng Wang, Yanlei Zhang, et al.. (2018). Comparison of Chimeric Antigen Receptor T Cells from Allogenic or Autologous Sources in Patients with Acute Lymphoblastic Leukemia. Blood. 132(Supplement 1). 2691–2691. 3 indexed citations

14.

Zhang, Songsong & Zhenxing Guo. (2018). Case report of a primary prostatic urothelial carcinoma patient with sustained fever. OncoTargets and Therapy. Volume 11. 4547–4550. 3 indexed citations

15.

Guo, Zhenxing, et al.. (2017). [Expression and clinical significance of Ser10 phosphorylated p27(kip1) protein in human breast carcinoma].. PubMed. 97(18). 1396–1399.

16.

Chen, Zhenping, et al.. (2014). Foxp3 methylation status in children with primary immune thrombocytopenia. Human Immunology. 75(11). 1115–1119. 19 indexed citations

17.

Chen, Zhenping, Dongsheng Gu, Zeping Zhou, et al.. (2011). Decreased expression of MBD2 and MBD4 gene and genomic-wide hypomethylation in patients with primary immune thrombocytopenia. Human Immunology. 72(6). 486–491. 17 indexed citations

18.

Guo, Zhenxing, Cuiling Zheng, Zhenping Chen, et al.. (2009). Fetal BM‐derived mesenchymal stem cells promote the expansion of human Th17 cells, but inhibit the production of Th1 cells. European Journal of Immunology. 39(10). 2840–2849. 58 indexed citations

19.

Chen, Zhenping, Zeping Zhou, Zhenping Chen, et al.. (2008). Single Nucleotide Polymorphism in DNMT3B Promoter and the Risk for Idiopathic Thrombocytopenic Purpura in Chinese Population. Journal of Clinical Immunology. 28(5). 399–404. 17 indexed citations

20.

Cheng, Chun, Shanshan Gao, Jian Zhao, et al.. (2007). Spatiotemporal patterns of postsynaptic density (PSD)‐95 expression after rat spinal cord injury. Neuropathology and Applied Neurobiology. 34(3). 340–356. 17 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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