Yi Lai
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
Papers in
-
- Nanoplatforms for cancer theranostics 15
-
- Advanced Image Processing Techniques 6
- Image Enhancement Techniques 5
- Advanced Vision and Imaging 5
- Co-authors
- Zhiai Xu (29 shared papers)Haijun Yu (26 shared papers)Wen Zhang (10 shared papers)Madiha Saeed (6 shared papers)Yijing Dang (7 shared papers)Jiaxing Pan (7 shared papers)Chunyong Ding (5 shared papers)Xianli Hu (4 shared papers)
- Journals
- Advanced Materials (4 papers)Advanced Science (2 papers)Journal of the American Chemical Society (2 papers)Applied Materials Today (2 papers)Advanced Functional Materials (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yi Lai
52 papers receiving 998 citations
Yi Lai's Hit Papers
Peers
Comparison fields: 5 of 116
- Biomaterials 171
- Biomedical Engineering 452
- Immunology 168
- Biochemistry 47
- Oncology 124
Countries citing papers authored by Yi Lai
This map shows the geographic impact of Yi Lai'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 Yi Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Lai more than expected).
Fields of papers citing papers by Yi Lai
This network shows the impact of papers produced by Yi Lai. 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 Yi Lai. The network helps show where Yi Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Lai, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 100 | |
| 2 | 2020 | 94 | |
| 3 | PROTAC Prodrug‐Integrated Nanosensitizer for Potentiating Radiation Therapy of Cancer Hit paper breakdown → | 2024 | 71 |
| 4 | 2023 | 61 | |
| 5 | 2022 | 55 | |
| 6 | 2020 | 53 | |
| 7 | 2019 | 37 | |
| 8 | 2022 | 33 | |
| 9 | 2024 | 32 | |
| 10 | 2019 | 32 | |
| 11 | 2019 | 30 | |
| 12 | 2019 | 29 | |
| 13 | 2019 | 29 | |
| 14 | 2022 | 28 | |
| 15 | 2023 | 24 | |
| 16 | 2021 | 22 | |
| 17 | 2022 | 22 | |
| 18 | 2022 | 21 | |
| 19 | 2025 | 19 | |
| 20 | 2024 | 18 |
About Yi Lai
Yi Lai is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Molecular Biology, Immunology and Biomaterials, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (15 papers), Advanced Image Processing Techniques (6 papers), Video Coding and Compression Technologies (5 papers), Immunotherapy and Immune Responses (5 papers), Image Enhancement Techniques (5 papers), Advanced Vision and Imaging (5 papers), Photodynamic Therapy Research Studies (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Biomaterials (171 citations), Biomedical Engineering (452 citations), Immunology (168 citations), Biochemistry (47 citations) and Oncology (124 citations). Yi Lai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhiai Xu, Haijun Yu, Wen Zhang, Madiha Saeed, Yijing Dang, Jiaxing Pan, Chunyong Ding, Xianli Hu, Fangmin Chen and Lujia Huang. Their work appears in journals such as Advanced Materials, Advanced Science, Journal of the American Chemical Society, Applied Materials Today and Advanced Functional Materials.
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.