Weijie Ye

1.3k total citations · 1 hit paper
16 papers, 946 citations indexed

About

Weijie Ye is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Weijie Ye has authored 16 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Weijie Ye's work include Immune cells in cancer (7 papers), Glioma Diagnosis and Treatment (4 papers) and Ferroptosis and cancer prognosis (3 papers). Weijie Ye is often cited by papers focused on Immune cells in cancer (7 papers), Glioma Diagnosis and Treatment (4 papers) and Ferroptosis and cancer prognosis (3 papers). Weijie Ye collaborates with scholars based in China, United Kingdom and United States. Weijie Ye's co-authors include Quan Cheng, Zeyu Wang, Hao Zhang, Zhixiong Liu, Ziyu Dai, Liyang Zhang, Nan Zhang, Wantao Wu, Xun Zhang and Keyang Yang and has published in prestigious journals such as Nature Communications, ACS Applied Materials & Interfaces and Frontiers in Immunology.

In The Last Decade

Weijie Ye

16 papers receiving 941 citations

Hit Papers

Glioma targeted therapy: insight into future of molecular... 2022 2026 2023 2024 2022 100 200 300 400

Peers

Weijie Ye
Ling Cen United States
Hui Zhou China
Byung‐Gyu Kim United States
Le Li China
Weijie Ye
Citations per year, relative to Weijie Ye Weijie Ye (= 1×) peers Donata Simińska

Countries citing papers authored by Weijie Ye

Since Specialization
Citations

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

Fields of papers citing papers by Weijie Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijie Ye

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

All Works

16 of 16 papers shown
2.
Ye, Weijie, Xisong Liang, G. Chen, et al.. (2024). NDC80/HEC1 promotes macrophage polarization and predicts glioma prognosis via single‐cell RNA‐seq and in vitro experiment. CNS Neuroscience & Therapeutics. 30(7). e14850–e14850. 1 indexed citations
3.
Zhang, Hao, Nan Zhang, Ziyu Dai, et al.. (2022). Hyaluronic acids mediate the infiltration, migration, and M2 polarization of macrophages: evaluating metabolic molecular phenotypes in gliomas. Molecular Oncology. 16(22). 3927–3948. 13 indexed citations
4.
Xiao, Gelei, Zeyu Wang, Ziyu Dai, et al.. (2022). Machine learning-based identification of SOX10 as an immune regulator of macrophage in gliomas. Frontiers in Immunology. 13. 1007461–1007461. 9 indexed citations
5.
Qu, Chunrun, Hao Zhang, Hui Cao, et al.. (2022). Tumor buster - where will the CAR-T cell therapy ‘missile’ go?. Molecular Cancer. 21(1). 201–201. 44 indexed citations
6.
Yang, Keyang, Zhijing Wu, Hao Zhang, et al.. (2022). Glioma targeted therapy: insight into future of molecular approaches. Molecular Cancer. 21(1). 39–39. 458 indexed citations breakdown →
7.
Xu, Kai, Weijie Ye, Xinyi Hao, et al.. (2022). Investigation and analysis of four countries’ recalls of osteosynthesis implants and joint replacement implants from 2011 to 2021. Journal of Orthopaedic Surgery and Research. 17(1). 443–443. 2 indexed citations
8.
Cheng, Quan, Weiwei Duan, Chen Li, et al.. (2021). Multi-Omics Data Integration Analysis of an Immune-Related Gene Signature in LGG Patients With Epilepsy. Frontiers in Cell and Developmental Biology. 9. 686909–686909. 22 indexed citations
9.
Ye, Weijie, et al.. (2021). Inactivation of Transcriptional Regulator FabT Influences Colony Phase Variation of Streptococcus pneumoniae. mBio. 12(4). e0130421–e0130421. 9 indexed citations
10.
Wang, Zeyu, Yuze Liu, Hao Zhang, et al.. (2021). The CXCL Family Contributes to Immunosuppressive Microenvironment in Gliomas and Assists in Gliomas Chemotherapy. Frontiers in Immunology. 12. 731751–731751. 25 indexed citations
11.
Yang, Wenting, Yuandong Tao, Yan Wu, et al.. (2019). Neutrophils promote the development of reparative macrophages mediated by ROS to orchestrate liver repair. Nature Communications. 10(1). 1076–1076. 279 indexed citations
12.
Ye, Weijie, Yubin Chen, Jing Yang, et al.. (2019). Relationship between ALDH2 genotype and in-stent restenosis in Chinese Han patients after percutaneous coronary intervention. BMC Cardiovascular Disorders. 19(1). 176–176. 3 indexed citations
13.
Ye, Weijie, Yi‐Ming Chen, Na Zhang, et al.. (2019). Reduction-Responsive Nucleic Acid Delivery Systems To Prevent In-Stent Restenosis in Rabbits. ACS Applied Materials & Interfaces. 11(31). 28307–28316. 21 indexed citations
16.
Qiao, Wei, et al.. (2017). Traditional Chinese Medicine Protects against Cytokine Production as the Potential Immunosuppressive Agents in Atherosclerosis. Journal of Immunology Research. 2017. 1–8. 18 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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