Lanlan Li
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
-
- Nanoplatforms for cancer theranostics 12
- Immunology 10
- Immune cells in cancer 4
- Co-authors
- Jianxiang Zhang (32 shared papers)Yin Dou (7 shared papers)Chenwen Li (11 shared papers)Jiawei Guo (7 shared papers)Hui Min Tao (9 shared papers)Houyuan Hu (6 shared papers)Xiaoqiu Xu (5 shared papers)Yi Jia (4 shared papers)
- Journals
- ACS Nano (4 papers)Advanced Science (4 papers)Advanced Functional Materials (3 papers)Bioactive Materials (3 papers)Theranostics (3 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Lanlan Li
70 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 138
- Biomaterials 405
- Pharmaceutical Science 137
- Molecular Medicine 97
- Immunology 353
- Biomedical Engineering 614
Countries citing papers authored by Lanlan Li
This map shows the geographic impact of Lanlan Li'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 Lanlan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanlan Li more than expected).
Fields of papers citing papers by Lanlan Li
This network shows the impact of papers produced by Lanlan Li. 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 Lanlan Li. The network helps show where Lanlan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanlan Li, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 314 | |
| 2 | 2020 | 178 | |
| 3 | 2018 | 135 | |
| 4 | 2021 | 131 | |
| 5 | 2019 | 107 | |
| 6 | 2019 | 105 | |
| 7 | 2020 | 92 | |
| 8 | 2020 | 86 | |
| 9 | 2020 | 86 | |
| 10 | 2017 | 84 | |
| 11 | 2008 | 75 | |
| 12 | 2017 | 65 | |
| 13 | 2019 | 64 | |
| 14 | 2022 | 62 | |
| 15 | 2020 | 55 | |
| 16 | 2012 | 53 | |
| 17 | 2019 | 52 | |
| 18 | 2020 | 51 | |
| 19 | 2023 | 46 | |
| 20 | 2020 | 41 |
About Lanlan Li
Lanlan Li is a scholar working on Biomedical Engineering, Immunology, Biomaterials, Molecular Biology and Oncology, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Extracellular vesicles in disease (7 papers), Nanoparticle-Based Drug Delivery (6 papers), Inhalation and Respiratory Drug Delivery (4 papers), Inflammasome and immune disorders (4 papers), Immune cells in cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Nanomaterials in Catalysis (3 papers). The work is most often cited by research in Biomaterials (405 citations), Pharmaceutical Science (137 citations), Molecular Medicine (97 citations), Immunology (353 citations) and Biomedical Engineering (614 citations). Lanlan Li has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Jianxiang Zhang, Yin Dou, Chenwen Li, Jiawei Guo, Hui Min Tao, Houyuan Hu, Xiaoqiu Xu, Yi Jia, Huijie An and Wendan Pu. Their work appears in journals such as ACS Nano, Advanced Science, Advanced Functional Materials, Bioactive Materials and Theranostics.
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.