Xiaoli Mai
Impact in
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- Nanoparticle-Based Drug Delivery
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- Nanoplatforms for cancer theranostics
Papers in
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- Nanoplatforms for cancer theranostics 3
- Advanced X-ray and CT Imaging 2
- Genetics 7
- Mesenchymal stem cell research 6
- Co-authors
- Jianfei Sun (4 shared papers)Zhengyang Yang (1 shared paper)Jiafeng Wang (1 shared paper)Shichao Ai (1 shared paper)Wenxian Guan (1 shared paper)Haijian Fan (4 shared papers)Gao‐Jun Teng (5 shared papers)Junhui Sun (4 shared papers)
- Journals
- Cell Transplantation (2 papers)Biomedical Signal Processing and Control (2 papers)Scientific Reports (1 paper)Medicine (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- ChinaBangladeshUnited States
In The Last Decade
Xiaoli Mai
28 papers receiving 361 citations
Peers
Comparison fields: 5 of 64
- Biomaterials 69
- Biomedical Engineering 196
- Genetics 39
- Cancer Research 45
- Pulmonary and Respiratory Medicine 71
Countries citing papers authored by Xiaoli Mai
This map shows the geographic impact of Xiaoli Mai'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 Xiaoli Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Mai more than expected).
Fields of papers citing papers by Xiaoli Mai
This network shows the impact of papers produced by Xiaoli Mai. 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 Xiaoli Mai. The network helps show where Xiaoli Mai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Mai, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2019 | 89 | |
| 3 | 2016 | 35 | |
| 4 | 2008 | 30 | |
| 5 | 2009 | 26 | |
| 6 | 2022 | 14 | |
| 7 | 2012 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2024 | 2 | |
| 20 | [In vitro MR imaging of Fe(2)O(3)-PLL labelled rabbit peripheral blood endothelial progenitor cells]. | 2007 | 2 |
About Xiaoli Mai
Xiaoli Mai is a scholar working on Biomedical Engineering, Genetics, Pulmonary and Respiratory Medicine, Biomaterials and Surgery, having authored 30 papers that have together received 368 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Tissue Engineering and Regenerative Medicine (3 papers), Nanoplatforms for cancer theranostics (3 papers), Advanced X-ray and CT Imaging (2 papers), Photodynamic Therapy Research Studies (2 papers), Medical Imaging Techniques and Applications (2 papers) and Cardiac tumors and thrombi (2 papers). The work is most often cited by research in Biomaterials (69 citations), Biomedical Engineering (196 citations), Genetics (39 citations), Cancer Research (45 citations) and Pulmonary and Respiratory Medicine (71 citations). Xiaoli Mai has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Jianfei Sun, Zhengyang Yang, Jiafeng Wang, Shichao Ai, Wenxian Guan, Haijian Fan, Gao‐Jun Teng, Junhui Sun, Ming Ma and Shenghong Ju. Their work appears in journals such as Cell Transplantation, Biomedical Signal Processing and Control, Scientific Reports, Medicine and IEEE Transactions on Biomedical Engineering.
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.