Na Yu
- Computational Mathematics top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 5
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery 9
- Biotechnology top 10%
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics 8
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- Gene expression and cancer classification 11
- RNA Interference and Gene Delivery 6
- Bioinformatics and Genomic Networks 6
- Single-cell and spatial transcriptomics 4
- Co-authors
- Shutao GuoJin‐Xing LiuHaiping ZhongJingqing MuZunkai XuXing‐Jie LiangYing-Lian GaoChun-Hou Zheng
- Journals
- Journal of Controlled Release (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Chinese Chemical Letters (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Na Yu
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 133
- Computational Mathematics 12
- Cancer Research 204
- Biomaterials 176
- Biotechnology 62
- Biomedical Engineering 304
Countries citing papers authored by Na Yu
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
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
The 25 scholars most cited alongside Na Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 25 | |
| 11 | 2020 | 51 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 15 | |
| 14 | 2019 | 5 | |
| 15 | 2019 | 14 | |
| 16 | 2019 | 25 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 23 | |
| 19 | 2016 | 115 | |
| 20 | USING THE IMPROVED APRIORI ALGORITHM BASED ON COMPRESSED MATRIX TO ANALYZE THE CHARACTERISTICS OF SUSPECTS | 2015 | 1 |
About Na Yu
Na Yu is a scholar working on Computational Mathematics, Biomaterials and Cancer Research, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Nanoparticle-Based Drug Delivery (9 papers), Nanoplatforms for cancer theranostics (8 papers), MicroRNA in disease regulation (7 papers), RNA Interference and Gene Delivery (6 papers), Bioinformatics and Genomic Networks (6 papers), Cancer-related molecular mechanisms research (5 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Computational Mathematics (12 citations), Cancer Research (204 citations) and Biomaterials (176 citations). Na Yu has collaborated with scholars based in China, United States and France. Frequent 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. Their work appears in journals such as Journal of Controlled Release, IEEE Journal of Biomedical and Health Informatics, Chinese Chemical Letters, Journal of Biomedical Nanotechnology and Chemical Science.
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.