Na Yu

1.4k total citations
57 papers, 1.1k citations indexed

About

Na Yu is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Na Yu has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Biomedical Engineering and 9 papers in Biomaterials. Recurrent topics in Na Yu's work include Gene expression and cancer classification (11 papers), Nanoparticle-Based Drug Delivery (9 papers) and Nanoplatforms for cancer theranostics (8 papers). Na Yu is often cited by papers focused on Gene expression and cancer classification (11 papers), Nanoparticle-Based Drug Delivery (9 papers) and Nanoplatforms for cancer theranostics (8 papers). Na Yu collaborates with scholars based in China, United States and France. Na Yu's co-authors include Shutao Guo, Jin‐Xing Liu, Haiping Zhong, Jingqing Mu, Zunkai Xu, Xing‐Jie Liang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu and Bohong Cen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Na Yu

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Na Yu China	18	455	304	204	176	114	57	1.1k
Ramesh Choudhari United States	14	506 1.1×	176 0.6×	238 1.2×	171 1.0×	62 0.5×	22	916
Yi-Cheng Chen Taiwan	18	713 1.6×	196 0.6×	447 2.2×	126 0.7×	67 0.6×	50	1.7k
Liqian Zhou China	27	1.1k 2.3×	423 1.4×	310 1.5×	419 2.4×	34 0.3×	69	2.0k
Shunsuke Tomita Japan	25	654 1.4×	307 1.0×	34 0.2×	95 0.5×	90 0.8×	103	1.5k
Yuzhu Li China	19	333 0.7×	214 0.7×	147 0.7×	35 0.2×	88 0.8×	69	1.4k
Yingqi Xu China	22	955 2.1×	130 0.4×	454 2.2×	141 0.8×	101 0.9×	78	2.2k
Lumin Zhang China	25	603 1.3×	111 0.4×	179 0.9×	51 0.3×	135 1.2×	57	1.9k
Dian Li China	22	330 0.7×	178 0.6×	46 0.2×	107 0.6×	58 0.5×	92	1.2k
Lei Qin China	21	640 1.4×	138 0.5×	50 0.2×	125 0.7×	122 1.1×	51	1.4k

Countries citing papers authored by Na Yu

Since Specialization

Citations

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

Fields of papers citing papers by Na Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Yu

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

All Works

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20 of 20 papers shown

Wang, Qing, Na Yu, & Zhifang Yang. (2025). Optimizing decentralized energy systems: Advanced models and power management strategies. Energy. 335. 138017–138017. 1 indexed citations

Duan, Yunxia, et al.. (2025). Development and validation of a stroke risk prediction model using regional healthcare big data and machine learning. International Journal of Nursing Sciences. 12(6). 558–565.

Zhong, Haiping, et al.. (2024). Tumor-penetrating iRGD facilitates penetration of poly(floxuridine-ketal)-based nanomedicine for enhanced pancreatic cancer therapy. Journal of Controlled Release. 369. 444–457. 14 indexed citations

Zhao, Sheng, Na Yu, Hesong Han, Shutao Guo, & Niren Murthy. (2024). Advances in acid-degradable and enzyme-cleavable linkers for drug delivery. Current Opinion in Chemical Biology. 84. 102552–102552. 9 indexed citations

Zhang, Wei, Na Yu, Qiongye Dong, et al.. (2024). SpaGRA: Graph augmentation facilitates domain identification for spatially resolved transcriptomics. Journal of genetics and genomics. 52(1). 93–104. 1 indexed citations

Yu, Na, et al.. (2024). stMMR: accurate and robust spatial domain identification from spatially resolved transcriptomics with multimodal feature representation. GigaScience. 13. 2 indexed citations

Zhong, Haiping, Jingqing Mu, Na Yu, et al.. (2023). Drug content on anticancer efficacy of self-assembling ketal-linked dextran-paclitaxel conjugates. Journal of Controlled Release. 359. 175–187. 14 indexed citations

Zhong, Haiping, Na Yu, Xi Zhang, et al.. (2023). Fine-tuning the sequential drug release of nano-formulated mutual prodrugs dictates the combination effects. Chemical Science. 14(14). 3789–3799. 8 indexed citations

Mu, Jingqing, Xi Zhang, Guohua Liu, et al.. (2023). PDLLA length on anti-breast cancer efficacy of acid-responsive self-assembling mPEG-PDLLA‒docetaxel conjugates. Chinese Chemical Letters. 34(9). 108135–108135. 9 indexed citations

10.

Yu, Na, Yang Xu, Tao Liu, et al.. (2021). Modular ketal-linked prodrugs and biomaterials enabled by organocatalytic transisopropenylation of alcohols. Nature Communications. 12(1). 5532–5532. 25 indexed citations

11.

Li, Xiaolin, Na Yu, Jun Li, et al.. (2020). Novel “Carrier-Free” Nanofiber Codelivery Systems with the Synergistic Antitumor Effect of Paclitaxel and Tetrandrine through the Enhancement of Mitochondrial Apoptosis. ACS Applied Materials & Interfaces. 12(9). 10096–10106. 51 indexed citations

12.

Yu, Na, Jun Li, Yuan Zhang, et al.. (2020). Superior antitumor effect of self-assembly supramolecular paclitaxel nanoparticles. RSC Advances. 10(22). 12999–13005. 8 indexed citations

13.

Zhang, Qian, Yujie Dang, Lingling Ding, et al.. (2020). MiR-148a-3p may contribute to flawed decidualization in recurrent implantation failure by modulating HOXC8. Journal of Assisted Reproduction and Genetics. 37(10). 2535–2544. 15 indexed citations

14.

Liu, Jin‐Xing, et al.. (2019). Sparse Graph Regularization Non-Negative Matrix Factorization Based on Huber Loss Model for Cancer Data Analysis. Frontiers in Genetics. 10. 1054–1054. 5 indexed citations

15.

Yu, Na, Ying-Lian Gao, Jin‐Xing Liu, Juan Wang, & Junliang Shang. (2019). Robust hypergraph regularized non-negative matrix factorization for sample clustering and feature selection in multi-view gene expression data. Human Genomics. 13(S1). 46–46. 14 indexed citations

16.

Hou, Shasha, et al.. (2019). Cardamonin attenuates chronic inflammation and tumorigenesis in colon. Cell Cycle. 18(23). 3275–3287. 25 indexed citations

17.

Zhu, Jiali, Na Yu, Hui Kong, et al.. (2018). The Superior Antitumor Effect of Self-Assembled Paclitaxel Nanofilaments for Lung Cancer Cells. Current Drug Delivery. 16(2). 171–178. 7 indexed citations

18.

Yu, Na, Ying-Lian Gao, Jin‐Xing Liu, et al.. (2018). Co-differential Gene Selection and Clustering Based on Graph Regularized Multi-View NMF in Cancer Genomic Data. Genes. 9(12). 586–586. 23 indexed citations

19.

Wu, Zhuomin, Ping Wu, Xialin Zuo, et al.. (2016). LncRNA-N1LR Enhances Neuroprotection Against Ischemic Stroke Probably by Inhibiting p53 Phosphorylation. Molecular Neurobiology. 54(10). 7670–7685. 115 indexed citations

20.

Yu, Na, et al.. (2015). USING THE IMPROVED APRIORI ALGORITHM BASED ON COMPRESSED MATRIX TO ANALYZE THE CHARACTERISTICS OF SUSPECTS. ICIC express letters. Part B, Applications. 6(9). 2469–2475. 1 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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