Na You
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
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- Gene expression and cancer classification 6
- Gut microbiota and health 2
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- Census and Population Estimation 4
- Co-authors
- Kai Chen (3 shared papers)Maorong Wang (2 shared papers)Jin Zhu (2 shared papers)Xueqin Wang (6 shared papers)Xiaobing Zou (2 shared papers)Mizhou Hui (1 shared paper)Chang Gong (2 shared papers)Biyuan Chen (2 shared papers)
- Journals
- Bioinformatics (4 papers)Biometrics (3 papers)Frontiers of Medicine (1 paper)Integrated ferroelectrics (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Na You
31 papers receiving 316 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 81
- Computational Mathematics 2
- Molecular Biology 110
- Immunology 32
- Statistics and Probability 12
Countries citing papers authored by Na You
This map shows the geographic impact of Na You'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 You with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na You more than expected).
Fields of papers citing papers by Na You
This network shows the impact of papers produced by Na You. 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 You. The network helps show where Na You may publish in the future.
Co-authors
The 25 scholars most cited alongside Na You, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 49 | |
| 2 | 2016 | 44 | |
| 3 | 2020 | 27 | |
| 4 | 2015 | 23 | |
| 5 | 2019 | 21 | |
| 6 | 2012 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2019 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2007 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2016 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2016 | 3 |
About Na You
Na You is a scholar working on Molecular Biology, Statistics and Probability, Epidemiology, Electrical and Electronic Engineering and Cancer Research, having authored 35 papers that have together received 321 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Census and Population Estimation (4 papers), HIV, Drug Use, Sexual Risk (4 papers), Silicon Carbide Semiconductor Technologies (3 papers), Data-Driven Disease Surveillance (3 papers), Cancer Genomics and Diagnostics (2 papers), Multilevel Inverters and Converters (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Cancer Research (81 citations), Computational Mathematics (2 citations), Molecular Biology (110 citations), Immunology (32 citations) and Statistics and Probability (12 citations). Na You has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kai Chen, Maorong Wang, Jin Zhu, Xueqin Wang, Xiaobing Zou, Mizhou Hui, Chang Gong, Biyuan Chen, Gehao Liang and Xueyi He. Their work appears in journals such as Bioinformatics, Biometrics, Frontiers of Medicine, Integrated ferroelectrics and Human Vaccines & Immunotherapeutics.
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.