Guixiang Tan

487 total citations
9 papers, 375 citations indexed

About

Guixiang Tan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Guixiang Tan has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Guixiang Tan's work include FOXO transcription factor regulation (7 papers), CRISPR and Genetic Engineering (4 papers) and Pluripotent Stem Cells Research (2 papers). Guixiang Tan is often cited by papers focused on FOXO transcription factor regulation (7 papers), CRISPR and Genetic Engineering (4 papers) and Pluripotent Stem Cells Research (2 papers). Guixiang Tan collaborates with scholars based in China. Guixiang Tan's co-authors include Yongjun Tan, Xia Jiang, Xiaoqin Huang, Yu Li, Miao Ding, Chao Yang, Jing Zheng, Liang Cheng, Ronghua Yang and Yongjun Tan and has published in prestigious journals such as Nucleic Acids Research, Analytical Chemistry and Scientific Reports.

In The Last Decade

Guixiang Tan

9 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guixiang Tan China	9	334	63	60	53	36	9	375
Tsuyoshi Takashima Japan	12	154 0.5×	53 0.8×	30 0.5×	181 3.4×	20 0.6×	23	355
Di Sun China	13	290 0.9×	127 2.0×	60 1.0×	75 1.4×	28 0.8×	29	456
Hafiz Muhammad Jafar Hussain China	10	192 0.6×	48 0.8×	41 0.7×	21 0.4×	12 0.3×	28	311
Wenlong Cao China	11	259 0.8×	164 2.6×	52 0.9×	66 1.2×	16 0.4×	20	357
Gongping Wang China	11	216 0.6×	137 2.2×	22 0.4×	52 1.0×	21 0.6×	20	405
Yuting Dong China	8	124 0.4×	44 0.7×	28 0.5×	105 2.0×	17 0.5×	19	316
Hongquan Zhang China	11	475 1.4×	75 1.2×	20 0.3×	101 1.9×	8 0.2×	15	615
Dongxing Wang China	9	185 0.6×	41 0.7×	45 0.8×	43 0.8×	13 0.4×	33	307
Xuejiao Shi China	12	406 1.2×	224 3.6×	46 0.8×	83 1.6×	14 0.4×	26	558

Countries citing papers authored by Guixiang Tan

Since Specialization

Citations

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

Fields of papers citing papers by Guixiang Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guixiang Tan

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

All Works

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9 of 9 papers shown

Liu, Yuxiang, et al.. (2021). FOXA2-Interacting FOXP2 Prevents Epithelial-Mesenchymal Transition of Breast Cancer Cells by Stimulating E-Cadherin and PHF2 Transcription. Frontiers in Oncology. 11. 605025–605025. 21 indexed citations

Zhang, Zhenwang, Jingwei Yu, Yan Chen, et al.. (2019). The cell-penetrating FOXM1 N-terminus (M1-138) demonstrates potent inhibitory effects on cancer cells by targeting FOXM1 and FOXM1-interacting factor SMAD3. Theranostics. 9(10). 2882–2896. 13 indexed citations

Qin, Xiang, et al.. (2017). Suppression of FOXM1 Transcriptional Activities via a Single-Stranded DNA Aptamer Generated by SELEX. Scientific Reports. 7(1). 45377–45377. 43 indexed citations

Shi, Muling, Jing Zheng, Changhui Liu, et al.. (2015). SERS assay of telomerase activity at single-cell level and colon cancer tissues via quadratic signal amplification. Biosensors and Bioelectronics. 77. 673–680. 53 indexed citations

Shi, Muling, Jing Zheng, Yongjun Tan, et al.. (2015). Ultrasensitive Detection of Single Nucleotide Polymorphism in Human Mitochondrial DNA Utilizing Ion-Mediated Cascade Surface-Enhanced Raman Spectroscopy Amplification. Analytical Chemistry. 87(5). 2734–2740. 46 indexed citations

Chen, Yan, et al.. (2014). The miR-134 attenuates the expression of transcription factor FOXM1 during pluripotent NT2/D1 embryonal carcinoma cell differentiation. Experimental Cell Research. 330(2). 442–450. 17 indexed citations

Yang, Chao, Hui Chen, Guixiang Tan, et al.. (2013). FOXM1 promotes the epithelial to mesenchymal transition by stimulating the transcription of Slug in human breast cancer. Cancer Letters. 340(1). 104–112. 91 indexed citations

Meng, Lei, et al.. (2012). Stable Expression of FoxA1 Promotes Pluripotent P19 Embryonal Carcinoma Cells to Be Neural Stem-Like Cells. Gene Expression. 15(4). 153–162. 8 indexed citations

Xie, Zhongqiu, Guixiang Tan, Miao Ding, et al.. (2010). Foxm1 transcription factor is required for maintenance of pluripotency of P19 embryonal carcinoma cells. Nucleic Acids Research. 38(22). 8027–8038. 83 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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