Xiaoting Chen
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Health Informatics top 10%
Papers in ⓘ
-
- Nanoparticle-Based Drug Delivery 3
- Electrospun Nanofibers in Biomedical Applications 2
- Co-authors
- Kui Luo (8 shared papers)Hu Zhang (6 shared papers)Ping Tan (3 shared papers)Qiang Wei (2 shared papers)Qiyong Gong (7 shared papers)Zhongwei Gu (6 shared papers)Dayi Pan (5 shared papers)Rongjun Chen (4 shared papers)
- Journals
- Advanced Materials (4 papers)Chemical Engineering Journal (2 papers)Small (2 papers)Journal of Cellular and Molecular Medicine (1 paper)International Journal of Bioprinting (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoting Chen
33 papers receiving 792 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Biomaterials 204
- Health Informatics 14
- Biomedical Engineering 310
- Immunology 94
- Biological Psychiatry 11
Countries citing papers authored by Xiaoting Chen
This map shows the geographic impact of Xiaoting Chen'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 Xiaoting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Chen more than expected).
Fields of papers citing papers by Xiaoting Chen
This network shows the impact of papers produced by Xiaoting Chen. 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 Xiaoting Chen. The network helps show where Xiaoting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Chen, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence aids in development of nanomedicines for cancer management Hit paper breakdown → | 2023 | 175 |
| 2 | 2021 | 80 | |
| 3 | 2023 | 79 | |
| 4 | 2022 | 51 | |
| 5 | 2021 | 42 | |
| 6 | 2021 | 40 | |
| 7 | 2022 | 39 | |
| 8 | 2023 | 28 | |
| 9 | 2022 | 27 | |
| 10 | 2017 | 27 | |
| 11 | 2021 | 26 | |
| 12 | 2022 | 26 | |
| 13 | 2023 | 24 | |
| 14 | 2021 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2024 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2023 | 9 |
About Xiaoting Chen
Xiaoting Chen is a scholar working on Biomaterials, Otorhinolaryngology, Biological Psychiatry, Nephrology and Complementary and alternative medicine, having authored 38 papers that have together received 798 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (8 papers), Pancreatitis Pathology and Treatment (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Electrocatalysts for Energy Conversion (2 papers), Dendrimers and Hyperbranched Polymers (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Biomaterials (204 citations), Health Informatics (14 citations), Biomedical Engineering (310 citations), Immunology (94 citations) and Biological Psychiatry (11 citations). Xiaoting Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kui Luo, Hu Zhang, Ping Tan, Qiang Wei, Qiyong Gong, Zhongwei Gu, Dayi Pan, Rongjun Chen, Xiuli Zheng and Lei Gu. Their work appears in journals such as Advanced Materials, Chemical Engineering Journal, Small, Journal of Cellular and Molecular Medicine and International Journal of Bioprinting.
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.