Chao Nie
Impact in
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- MicroRNA in disease regulation
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- Gut microbiota and health 5
- Circular RNAs in diseases 4
- Genetics 5
- Genetic Associations and Epidemiology 3
- Co-authors
- Hefu Zhen (8 shared papers)Yuzhe Sun (4 shared papers)Xiao Liu (4 shared papers)Zhili Liu (3 shared papers)Wei Zhang (4 shared papers)Yan Yang (2 shared papers)Jinghua Wu (3 shared papers)Xun Xu (3 shared papers)
- Journals
- PLoS ONE (4 papers)Scientific Reports (3 papers)Cell Death and Disease (2 papers)Frontiers in Microbiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Chao Nie
30 papers receiving 540 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 98
- Immunology 128
- Biological Psychiatry 12
- Molecular Biology 310
- Aging 6
Countries citing papers authored by Chao Nie
This map shows the geographic impact of Chao Nie'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 Chao Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Nie more than expected).
Fields of papers citing papers by Chao Nie
This network shows the impact of papers produced by Chao Nie. 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 Chao Nie. The network helps show where Chao Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao Nie, 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 | 70 | |
| 2 | 2020 | 66 | |
| 3 | 2016 | 50 | |
| 4 | 2015 | 35 | |
| 5 | 2016 | 35 | |
| 6 | 2024 | 32 | |
| 7 | 2021 | 29 | |
| 8 | 2018 | 26 | |
| 9 | 2014 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2023 | 18 | |
| 12 | 2022 | 16 | |
| 13 | 2023 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2022 | 8 |
About Chao Nie
Chao Nie is a scholar working on Molecular Biology, Genetics, Cancer Research, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 35 papers that have together received 545 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Gut microbiota and health (5 papers), Circular RNAs in diseases (4 papers), Genetic Associations and Epidemiology (3 papers), Phase-change materials and chalcogenides (3 papers), Transition Metal Oxide Nanomaterials (2 papers), Effects of Radiation Exposure (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Cancer Research (98 citations), Immunology (128 citations), Biological Psychiatry (12 citations), Molecular Biology (310 citations) and Aging (6 citations). Chao Nie has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Hefu Zhen, Yuzhe Sun, Xiao Liu, Zhili Liu, Wei Zhang, Yan Yang, Jinghua Wu, Xun Xu, Hongzhi Cao and Ruifang Zhang. Their work appears in journals such as PLoS ONE, Scientific Reports, Cell Death and Disease, Frontiers in Microbiology and Proceedings of the National Academy of Sciences.
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.