Ye Gu

1.2k total citations
31 papers, 907 citations indexed

About

Ye Gu is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Ye Gu has authored 31 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Surgery. Recurrent topics in Ye Gu's work include Epigenetics and DNA Methylation (7 papers), Bone Metabolism and Diseases (7 papers) and Cancer-related gene regulation (3 papers). Ye Gu is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Bone Metabolism and Diseases (7 papers) and Cancer-related gene regulation (3 papers). Ye Gu collaborates with scholars based in China, South Korea and Canada. Ye Gu's co-authors include Dechun Geng, Weiping Yu, Yaozeng Xu, Jae‐Hoon Chang, Zhirong Wang, Qing Ma, Ben Kang, Kang Guo, Jie Lin and Mahesh Pandit and has published in prestigious journals such as Nature Communications, ACS Applied Materials & Interfaces and Cell Death and Differentiation.

In The Last Decade

Ye Gu

31 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Gu China 17 578 166 152 139 108 31 907
Zeyu Yang China 15 322 0.6× 110 0.7× 91 0.6× 83 0.6× 67 0.6× 65 803
Yifeng Jing China 19 442 0.8× 216 1.3× 123 0.8× 83 0.6× 156 1.4× 47 995
Yongxia Cheng China 19 497 0.9× 273 1.6× 92 0.6× 59 0.4× 117 1.1× 47 904
Hongli Jiao United States 19 535 0.9× 126 0.8× 141 0.9× 81 0.6× 177 1.6× 32 1.2k
Anling Liu China 20 1.1k 2.0× 268 1.6× 258 1.7× 214 1.5× 90 0.8× 36 1.7k
Shen-qiu Luo China 10 721 1.2× 213 1.3× 198 1.3× 76 0.5× 90 0.8× 29 1.2k
Meng Ye China 19 651 1.1× 246 1.5× 94 0.6× 51 0.4× 66 0.6× 47 876
Yuming Li China 12 551 1.0× 233 1.4× 90 0.6× 78 0.6× 86 0.8× 40 946
Ji Zhu China 21 611 1.1× 172 1.0× 313 2.1× 122 0.9× 131 1.2× 30 1.2k

Countries citing papers authored by Ye Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Gu. A scholar is included among the top collaborators of Ye Gu 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 Ye Gu. Ye Gu 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.
Tao, Huaqiang, Pengfei Zhu, Yang Chen, et al.. (2025). Targeting lipid raft-related stomatin to ameliorate osteoporosis in preclinical models. Nature Communications. 16(1). 5495–5495. 2 indexed citations
2.
Gu, Ye, Qiang Liu, Qiang‐Sheng Wu, et al.. (2024). LC3-dependent extracellular vesicles promote M-MDSC accumulation and immunosuppression in colorectal cancer. iScience. 27(5). 109272–109272. 2 indexed citations
3.
Acharya, Suman, Ye Gu, Umar Manzoor, et al.. (2024). AMPK Alchemy: Therapeutic Potentials in Allergy, Aging, and Cancer. Biomolecules & Therapeutics. 32(2). 171–182. 3 indexed citations
4.
Liu, Qiang, et al.. (2023). Toll-like receptor 2 deficiency alleviates acute pancreatitis by inactivating the NF-κB/NLRP3 pathway. International Immunopharmacology. 121. 110547–110547. 12 indexed citations
5.
Pandit, Mahesh, Jae-Hee Ahn, Ye Gu, et al.. (2023). Methionine consumption by cancer cells drives a progressive upregulation of PD-1 expression in CD4 T cells. Nature Communications. 14(1). 2593–2593. 44 indexed citations
6.
Wang, Qing, Wei Zhang, Yunxia Tao, et al.. (2022). GSK-3β suppression upregulates Gli1 to alleviate osteogenesis inhibition in titanium nanoparticle-induced osteolysis. Journal of Nanobiotechnology. 20(1). 148–148. 10 indexed citations
7.
Gao, Kun, Qing Shi, Ye Gu, et al.. (2022). SPOP mutations promote tumor immune escape in endometrial cancer via the IRF1–PD-L1 axis. Cell Death and Differentiation. 30(2). 475–487. 28 indexed citations
8.
Xia, Yu, et al.. (2022). Identification and validation of ferroptosis key genes in bone mesenchymal stromal cells of primary osteoporosis based on bioinformatics analysis. Frontiers in Endocrinology. 13. 980867–980867. 12 indexed citations
9.
Liu, Qiang, Lingyun Li, Zhicheng Huang, et al.. (2022). Identification of novel immune-related targets mediating disease progression in acute pancreatitis. Frontiers in Cellular and Infection Microbiology. 12. 1052466–1052466. 8 indexed citations
10.
Gu, Ye, Cong Ding, Yifeng Zhou, et al.. (2021). Flavonoid GL-V9 suppresses invasion and migration of human colorectal cancer cells by inhibiting PI3K/Akt and MMP-2/9 signaling. Journal of Cancer. 12(15). 4542–4551. 17 indexed citations
11.
Li, Chao, Ye Gu, Qizhi He, et al.. (2021). Integrated Analysis of Microbiome and Transcriptome Data Reveals the Interplay Between Commensal Bacteria and Fibrin Degradation in Endometrial Cancer. Frontiers in Cellular and Infection Microbiology. 11. 748558–748558. 40 indexed citations
12.
Ge, Gaoran, Sen Yang, Minfeng Gan, et al.. (2021). Theaflavin-3,3′-Digallate Promotes the Formation of Osteoblasts Under Inflammatory Environment and Increases the Bone Mass of Ovariectomized Mice. Frontiers in Pharmacology. 12. 648969–648969. 12 indexed citations
13.
Ma, Qing, Yin Lu, & Ye Gu. (2019). ENKUR Is Involved in the Regulation of Cellular Biology in Colorectal Cancer Cells via PI3K/Akt Signaling Pathway. Technology in Cancer Research & Treatment. 18. 1078109081–1078109081. 8 indexed citations
14.
Ou, Wenquan, Liyuan Jiang, Ye Gu, et al.. (2019). Regulatory T Cells Tailored with pH-Responsive Liposomes Shape an Immuno-Antitumor Milieu against Tumors. ACS Applied Materials & Interfaces. 11(40). 36333–36346. 33 indexed citations
15.
Ma, Qing, Yin Lu, Jie Lin, & Ye Gu. (2019). ENKUR acts as a tumor suppressor in lung adenocarcinoma cells through PI3K/Akt and MAPK/ERK signaling pathways. Journal of Cancer. 10(17). 3975–3984. 13 indexed citations
16.
Gu, Ye, Zhirong Wang, Jiawei Shi, et al.. (2017). Titanium particle-induced osteogenic inhibition and bone destruction are mediated by the GSK-3β/β-catenin signal pathway. Cell Death and Disease. 8(6). e2878–e2878. 33 indexed citations
17.
Ping, Zichuan, Zhirong Wang, Jiawei Shi, et al.. (2017). Inhibitory effects of melatonin on titanium particle-induced inflammatory bone resorption and osteoclastogenesis via suppression of NF-κB signaling. Acta Biomaterialia. 62. 362–371. 96 indexed citations
18.
Gu, Ye, Kaican Cai, Kang Guo, et al.. (2017). Oncogenic function of TUSC3 in non-small cell lung cancer is associated with Hedgehog signalling pathway. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(7). 1749–1760. 20 indexed citations
19.
20.
Wang, Hui, Weidong Li, Xuejun Jin, et al.. (2011). Nuclear localization of 14‐3‐3epsilon inversely correlates with poor long‐term survival of patients with colorectal cancer. Journal of Surgical Oncology. 106(3). 224–231. 7 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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