Xiaoni Ai
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
Papers in ⓘ
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- 3D Printing in Biomedical Research 10
- Innovative Microfluidic and Catalytic Techniques Innovation 7
- Microfluidic and Capillary Electrophoresis Applications 7
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- Neuroscience and Neural Engineering 2
- Co-authors
- Qionglin Liang (6 shared papers)Guoan Luo (5 shared papers)Yiming Wang (4 shared papers)Pengfei Tu (11 shared papers)Kai Zhang (3 shared papers)Ping Hu (3 shared papers)Hang Lu (1 shared paper)Patrick T. McGrath (1 shared paper)
In The Last Decade
Xiaoni Ai
21 papers receiving 370 citations
Peers
Comparison fields: 5 of 71
- Aging 43
- Biomedical Engineering 278
- Pharmacology 22
- Hepatology 14
- Biophysics 10
Countries citing papers authored by Xiaoni Ai
This map shows the geographic impact of Xiaoni Ai'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 Xiaoni Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoni Ai more than expected).
Fields of papers citing papers by Xiaoni Ai
This network shows the impact of papers produced by Xiaoni Ai. 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 Xiaoni Ai. The network helps show where Xiaoni Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoni Ai, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 72 | |
| 2 | 2014 | 42 | |
| 3 | 2020 | 30 | |
| 4 | 2011 | 26 | |
| 5 | 2018 | 24 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2012 | 17 | |
| 9 | 2010 | 17 | |
| 10 | 2012 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2007 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2019 | 5 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Xiaoni Ai
Xiaoni Ai is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Electrical and Electronic Engineering, having authored 21 papers that have together received 373 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (10 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers), Electrowetting and Microfluidic Technologies (3 papers), Neuroscience and Neural Engineering (2 papers), Cancer Cells and Metastasis (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Aging (43 citations), Biomedical Engineering (278 citations), Pharmacology (22 citations), Hepatology (14 citations) and Biophysics (10 citations). Xiaoni Ai has collaborated with scholars based in China, Thailand and Russia. Frequent co-authors include Qionglin Liang, Guoan Luo, Yiming Wang, Pengfei Tu, Kai Zhang, Ping Hu, Hang Lu, Patrick T. McGrath, Lin Zhao and Rongrong Xiao. Their work appears in journals such as Lab on a Chip, Analytical Chemistry, Electrophoresis, Acta Pharmaceutica Sinica B and Biotechnology and Bioengineering.
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.