Gui Ma

1.4k total citations
35 papers, 959 citations indexed

About

Gui Ma is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gui Ma has authored 35 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Gui Ma's work include RNA modifications and cancer (10 papers), Cancer-related gene regulation (8 papers) and Epigenetics and DNA Methylation (7 papers). Gui Ma is often cited by papers focused on RNA modifications and cancer (10 papers), Cancer-related gene regulation (8 papers) and Epigenetics and DNA Methylation (7 papers). Gui Ma collaborates with scholars based in China, United States and Canada. Gui Ma's co-authors include Pengcheng Jiang, Ying Xu, Wenbo Zhang, Jin‐Tang Dong, Chen Zou, Liya Fu, Baotong Zhang, Zhigang Gong, Guohua Zhang and Weidong Qi and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gui Ma

34 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gui Ma China 18 675 419 135 103 95 35 959
María Arechederra Spain 17 593 0.9× 211 0.5× 108 0.8× 127 1.2× 89 0.9× 41 932
Jianjun Yang China 17 922 1.4× 653 1.6× 150 1.1× 63 0.6× 72 0.8× 35 1.2k
Chaoxia Zou China 16 673 1.0× 520 1.2× 127 0.9× 91 0.9× 65 0.7× 35 926
Zhiqin Xie China 19 816 1.2× 285 0.7× 104 0.8× 144 1.4× 69 0.7× 58 1.2k
Jiangxue Wu China 19 777 1.2× 429 1.0× 251 1.9× 108 1.0× 96 1.0× 34 1.1k
Mingsong Wang China 17 549 0.8× 284 0.7× 106 0.8× 67 0.7× 56 0.6× 33 761
Xiaohong Zhang China 17 600 0.9× 521 1.2× 88 0.7× 71 0.7× 54 0.6× 35 841
Xiuying Zhong China 13 814 1.2× 564 1.3× 96 0.7× 85 0.8× 77 0.8× 16 1.1k

Countries citing papers authored by Gui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Gui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gui Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Gui Ma. A scholar is included among the top collaborators of Gui Ma 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 Gui Ma. Gui Ma 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.
Ma, Gui, Ang Gao, Jiani Chen, et al.. (2024). Modeling high-risk Wilms tumors enables the discovery of therapeutic vulnerability. Cell Reports Medicine. 5(10). 101770–101770. 1 indexed citations
4.
Ma, Gui, Bin Zhang, Shengjun Fu, et al.. (2023). Formin-related protein 1 facilitates proliferation and aggressive phenotype of clear cell renal cell carcinoma through MAPK/MMP2 pathway. Molecular and Cellular Probes. 71. 101921–101921. 1 indexed citations
5.
Ma, M, Qinying Yu, Daniel G. Delafield, et al.. (2023). On-Tissue Spatial Proteomics Integrating MALDI-MS Imaging with Shotgun Proteomics Reveals Soy Consumption-Induced Protein Changes in a Fragile X Syndrome Mouse Model. ACS Chemical Neuroscience. 15(1). 119–133. 5 indexed citations
6.
Zhang, Lili, et al.. (2022). High expression of eIF4A1 predicts unfavorable prognosis in clear cell renal cell carcinoma. Molecular and Cellular Probes. 65. 101845–101845. 8 indexed citations
7.
Ma, Gui, Zirui Wang, Junyao Liu, et al.. (2021). Quantitative proteomic analysis reveals sophisticated metabolic alteration and identifies FMNL1 as a prognostic marker in clear cell renal cell carcinoma. Journal of Cancer. 12(21). 6563–6575. 7 indexed citations
8.
Liu, Fabao, M Ma, Ang Gao, et al.. (2021). PKM2‐TMEM33 axis regulates lipid homeostasis in cancer cells by controlling SCAP stability. The EMBO Journal. 40(22). e108065–e108065. 40 indexed citations
9.
Wu, Rui, Jiali Fang, Jun Arita, et al.. (2020). SUMOylation of the transcription factor ZFHX3 at Lys-2806 requires SAE1, UBC9, and PIAS2 and enhances its stability and function in cell proliferation. Journal of Biological Chemistry. 295(19). 6741–6753. 25 indexed citations
10.
Wang, Zhuo, Hongtao Li, Gui Ma, et al.. (2020). Indication for endoscopic treatment based on the risk of lymph node metastasis in patients with undifferentiated early gastric cancer. Asian Journal of Surgery. 43(10). 973–977. 8 indexed citations
11.
Xu, Ying, Jiawei Lu, Weiya Zhang, et al.. (2020). PINK1-mediated mitophagy protects against hepatic ischemia/reperfusion injury by restraining NLRP3 inflammasome activation. Free Radical Biology and Medicine. 160. 871–886. 88 indexed citations
12.
Ma, Biao, Hongcheng Cheng, Chenglong Mu, et al.. (2019). The SIAH2-NRF1 axis spatially regulates tumor microenvironment remodeling for tumor progression. Nature Communications. 10(1). 1034–1034. 65 indexed citations
13.
Ma, Gui, Ang Gao, Yuan He, et al.. (2019). Zfhx3 is essential for progesterone/progesterone receptor signaling to drive ductal side-branching and alveologenesis in mouse mammary glands. Journal of genetics and genomics. 46(3). 119–131. 11 indexed citations
14.
Gao, Ang, Gui Ma, Ling Chen, et al.. (2018). LEM4 confers tamoxifen resistance to breast cancer cells by activating cyclin D-CDK4/6-Rb and ERα pathway. Nature Communications. 9(1). 4180–4180. 54 indexed citations
15.
Zhang, Baotong, Shiying Zhang, Xinpei Ci, et al.. (2017). ERRF sensitizes ERBB2-positive breast cancer cells to lapatinib treatment likely by attenuating MCL1 and ERBB2 expression. Oncotarget. 8(22). 36054–36066. 5 indexed citations
16.
Zhang, Wenbo, Ying Xu, Gui Ma, et al.. (2015). Genetic Polymorphism of DNA Methyltransferase 3A rs1550117 A>G and Risk of Cancer: A Meta-analysis. Journal of Investigative Surgery. 28(6). 346–353. 10 indexed citations
17.
Wang, Weixin, Qingfeng Lin, Dong Shen, et al.. (2013). Clinicopathological significance of SLP-2 overexpression in human gallbladder cancer. Tumor Biology. 35(1). 419–423. 9 indexed citations
18.
Li, Mei, Xiaoying Fu, Gui Ma, et al.. (2012). Atbf1 Regulates Pubertal Mammary Gland Development Likely by Inhibiting the Pro-Proliferative Function of Estrogen-ER Signaling. PLoS ONE. 7(12). e51283–e51283. 55 indexed citations
19.
Li, Mei, Dan Zhao, Gui Ma, et al.. (2012). Upregulation of ATBF1 by progesterone-PR signaling and its functional implication in mammary epithelial cells. Biochemical and Biophysical Research Communications. 430(1). 358–363. 26 indexed citations
20.
Xu, Yunze, Yu Zhu, Zhoujun Shen, et al.. (2011). Significance of heparanase-1 and vascular endothelial growth factor in adrenocortical carcinoma angiogenesis: potential for therapy. Endocrine. 40(3). 445–451. 37 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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