Xiaogang Cui

482 total citations
33 papers, 321 citations indexed

About

Xiaogang Cui is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xiaogang Cui has authored 33 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Xiaogang Cui's work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Xiaogang Cui is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Xiaogang Cui collaborates with scholars based in China, United States and Indonesia. Xiaogang Cui's co-authors include Dongxiao Sun, Qin Zhang, Shaohua Yang, Shengli Zhang, Xuemei Lu, Yali Hou, Yuan Zhang, George E. Liu, Yan Xie and Changxin Wu and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Developmental Biology.

In The Last Decade

Xiaogang Cui

30 papers receiving 321 citations

Peers

Xiaogang Cui

GENET

ACS

Yaxi Xu China

Deyin Zhang China

Marcela Maria de Souza Brazil

Ewelina Semik‐Gurgul Poland

Morgane Thomas France

Nader Asadzadeh Iran

Jernej Ogorevc Slovenia

Chune Niu China

Rongqing Geng China

Yaxi Xu China

Xiaogang Cui

175 ×1.5

GENET

107 ×1.0

63 ×0.6

30 ×0.7

ACS

20 ×0.5

Citations per year, relative to Xiaogang Cui Xiaogang Cui (= 1×) peers Yaxi Xu

Countries citing papers authored by Xiaogang Cui

Since Specialization

Citations

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

Fields of papers citing papers by Xiaogang Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaogang Cui

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

All Works

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20 of 20 papers shown

Zhang, Yating, Jie Cai Han, Xiaogang Cui, et al.. (2025). miR-1236-3p targets Toll-like receptor 4 to suppress the anti-Mycobacterium tuberculosis activity of macrophage. iScience. 28(6). 112522–112522. 1 indexed citations

Cui, Xiaogang, Fengfeng Zhang, Miao Li, et al.. (2024). Transport of miR-766–3p to A549 cells by plasma-derived exosomes and its effect on intracellular survival of Mycobacterium tuberculosis by regulating NRAMP1 expression in A549 cells. Microbiological Research. 290. 127943–127943. 2 indexed citations

Chen, Guangxin, Yue Liu, Dong Li, et al.. (2024). miR-4687-5p Affects Intracellular Survival of Mycobacterium tuberculosis through Its Regulation of NRAMP1 Expression in A549 Cells. Microorganisms. 12(1). 227–227. 1 indexed citations

Kang, Xiaoyan, et al.. (2024). Plasma exosomes from patients with coronary artery disease promote atherosclerosis via impairing vascular endothelial junctions. Scientific Reports. 14(1). 29813–29813. 3 indexed citations

Chen, Guangxin, et al.. (2023). The expression of Nramp1 modulates the uptake of Mycobacterium tuberculosis by macrophages through alternating inflammatory responses. Tuberculosis. 143. 102414–102414. 2 indexed citations

Yao, Mingze, Yuanqing Pan, Caiting Yang, et al.. (2023). Loss of Dip2b leads to abnormal neural differentiation from mESCs. Stem Cell Research & Therapy. 14(1). 248–248.

Cui, Xiaogang, et al.. (2023). Genetic diversity, distribution, and evolution of chicken anemia virus: A comparative genomic and phylogenetic analysis. Frontiers in Microbiology. 14. 1145225–1145225. 6 indexed citations

Cui, Xiaogang, et al.. (2023). Plasma-derived exosomal let-7c-5p, miR-335–3p, and miR-652–3p as potential diagnostic biomarkers for stable coronary artery disease. Frontiers in Physiology. 14. 1161612–1161612. 6 indexed citations

Sun, Hui, Bin Yu, Xiaodong Yang, et al.. (2023). Preparation of NH2-MIL-101(Fe)@Viscose Spunlaced Nonwoven Porous Carbon Material for Organic Dye Adsorption. Fibers and Polymers. 24(6). 1983–1994. 7 indexed citations

10.

Li, Fei, Yong Zhang, Shiyu Bai, et al.. (2022). Isolation and characterization of the novel bacteriophage vB_SmaS_BUCT626 against Stenotrophomonas maltophilia. Virus Genes. 58(5). 458–466. 9 indexed citations

11.

Yao, Mingze, Pengfei Su, Zhengfeng Li, et al.. (2021). Knockout of Dip2c in murine ES cell line IBMSe001-B-1 by CRISPR/Cas9 genome editing technology. Stem Cell Research. 53. 102236–102236. 4 indexed citations

12.

Han, Jie, et al.. (2021). Association of polymorphisms of innate immunity-related genes and tuberculosis susceptibility in Mongolian population. Human Immunology. 82(4). 232–239. 6 indexed citations

13.

Yu, Wenxin, Zhonghou Wang, Brett Marshall, et al.. (2020). Taste buds are not derived from neural crest in mouse, chicken, and zebrafish. Developmental Biology. 471. 76–88. 7 indexed citations

14.

Yao, Mingze, Qian Yang, Mengqiao Lian, et al.. (2020). Generation of Dip2a homozygous knockout murine ES cell line IBMSe001-A-1 via CRISPR/Cas9 technology. Stem Cell Research. 45. 101778–101778. 4 indexed citations

15.

Ma, Feifei, Cheng Zhi, Tao Li, et al.. (2020). Dysregulated NF-κB signal promotes the hub gene PCLAF expression to facilitate nasopharyngeal carcinoma proliferation and metastasis. Biomedicine & Pharmacotherapy. 125. 109905–109905. 12 indexed citations

16.

Cui, Xiaogang, Shengli Zhang, Qin Zhang, et al.. (2020). Comprehensive MicroRNA Expression Profile of the Mammary Gland in Lactating Dairy Cows With Extremely Different Milk Protein and Fat Percentages. Frontiers in Genetics. 11. 548268–548268. 10 indexed citations

17.

Cui, Xiaogang, Brett Marshall, Ning Shi, et al.. (2017). RNA-Seq analysis on chicken taste sensory organs: An ideal system to study organogenesis. Scientific Reports. 7(1). 9131–9131. 13 indexed citations

18.

Cui, Xiaogang, Yali Hou, Shaohua Yang, et al.. (2014). Transcriptional profiling of mammary gland in Holstein cows with extremely different milk protein and fat percentage using RNA sequencing. BMC Genomics. 15(1). 226–226. 116 indexed citations

19.

Xie, Yan, Shaohua Yang, Xiaogang Cui, et al.. (2013). Identification and expression pattern of two novel alternative splicing variants of EEF1D gene of dairy cattle. Gene. 534(2). 189–196. 10 indexed citations

20.

Cui, Xiaogang, et al.. (2007). Applying a GIS‐based model to collect information on agricultural land‐use change in Beijing. New Zealand Journal of Agricultural Research. 50(5). 1073–1081. 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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