Ye Wu

7.1k total citations
11 papers, 352 citations indexed

About

Ye Wu is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Ye Wu has authored 11 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Cell Biology. Recurrent topics in Ye Wu's work include Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (2 papers) and Cellular transport and secretion (2 papers). Ye Wu is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (2 papers) and Cellular transport and secretion (2 papers). Ye Wu collaborates with scholars based in China, United States and Japan. Ye Wu's co-authors include Kang Shen, Céline I. Maeder, Linsheng Huo, Wei Feng, Hui Cai, Sheng Hong, Feiqing Ding, Qianqian Li, Xinyu Li and Zhu Wang and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Ye Wu

11 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye Wu China	5	187	147	87	48	39	11	352
Forrest A. Wright United States	9	322 1.7×	113 0.8×	73 0.8×	21 0.4×	20 0.5×	9	417
Michaël Trichet France	11	185 1.0×	118 0.8×	27 0.3×	83 1.7×	67 1.7×	20	473
Akvile Haeckel Germany	9	212 1.1×	170 1.2×	108 1.2×	28 0.6×	31 0.8×	13	423
Wei‐Hung Jung United States	9	131 0.7×	143 1.0×	32 0.4×	23 0.5×	86 2.2×	12	333
Yanina D. Álvarez Argentina	13	630 3.4×	250 1.7×	75 0.9×	26 0.5×	66 1.7×	23	863
Markus Fußer Norway	12	416 2.2×	37 0.3×	94 1.1×	41 0.9×	29 0.7×	15	506
Ling-chun Chen United States	10	374 2.0×	64 0.4×	39 0.4×	12 0.3×	22 0.6×	10	467
Kaleb M. Naegeli United States	6	102 0.5×	91 0.6×	35 0.4×	41 0.9×	41 1.1×	10	272
Shao‐Yu Lin United States	12	330 1.8×	125 0.9×	114 1.3×	27 0.6×	40 1.0×	17	753

Countries citing papers authored by Ye Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ye Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Wu

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

All Works

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11 of 11 papers shown

Guo, Yajing, Hongxia Huang, Ye Wu, et al.. (2025). Targeting S100A8/A9-NCF1 axis in tumor microenvironment to prevent tumor metastasis by self-assembled peptide nanofibers. Molecular Therapy. 33(4). 1502–1518. 2 indexed citations

Zhou, Yang, Ye Wu, Shengjie Sun, et al.. (2025). Self-Assembled Glycopeptide as a Biocompatible mRNA Vaccine Platform Elicits Robust Antitumor Immunity. ACS Nano. 19(15). 14727–14741. 1 indexed citations

Wu, Ye, et al.. (2024). Protocol to prepare MUC1 glycopeptide vaccines and evaluate immunization effects in mice. STAR Protocols. 5(2). 103047–103047. 2 indexed citations

Zhou, Yang, Xinru Li, Yajing Guo, et al.. (2024). Synthetic self‐adjuvanted multivalent Mucin 1 (MUC1) glycopeptide vaccines with improved in vivo antitumor efficacy. SHILAP Revista de lepidopterología. 5(2). e484–e484. 3 indexed citations

Liu, Xiaodi, Qi Zhang, Yanni Xu, et al.. (2023). Nanoparticles (NPs)-mediated Siglec15 silencing and macrophage repolarization for enhanced cancer immunotherapy. Acta Pharmaceutica Sinica B. 13(12). 5048–5059. 8 indexed citations

Liu, Xiaodi, et al.. (2023). Rho GTPase‐activating protein 1 promotes hepatocellular carcinoma progression via modulation by CircPIP5K1A/MiR‐101‐3p. Hepatology Research. 54(2). 174–188. 1 indexed citations

Zhou, Yang, Qianqian Li, Ye Wu, et al.. (2023). Molecularly Stimuli-Responsive Self-Assembled Peptide Nanoparticles for Targeted Imaging and Therapy. ACS Nano. 17(9). 8004–8025. 99 indexed citations

Liu, Xiaodi, Wenyue Zhang, Xiaolin Xu, et al.. (2022). Targeting PI3Kγ/AKT Pathway Remodels LC3‐Associated Phagocytosis Induced Immunosuppression After Radiofrequency Ablation. Advanced Science. 9(7). e2102182–e2102182. 32 indexed citations

Thompson, Robert W., et al.. (2013). Adhesion molecule expression trigger immune-mediated pathology in lupus-nephritis. 2(1). 49–57. 1 indexed citations

10.

Wu, Ye, Linsheng Huo, Céline I. Maeder, Wei Feng, & Kang Shen. (2013). The Balance between Capture and Dissociation of Presynaptic Proteins Controls the Spatial Distribution of Synapses. Neuron. 78(6). 994–1011. 108 indexed citations

11.

Klassen, Matthew P., Ye Wu, Céline I. Maeder, et al.. (2010). An Arf-like Small G Protein, ARL-8, Promotes the Axonal Transport of Presynaptic Cargoes by Suppressing Vesicle Aggregation. Neuron. 66(5). 710–723. 95 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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