Mo Li
Impact in
- Pharmaceutical Science top 0.5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- RNA modifications and cancer 7
-
- Drug Solubulity and Delivery Systems 21
- Advanced Drug Delivery Systems 17
- Co-authors
- Xiaochun Yu (1 shared paper)Shengying Qin (22 shared papers)Lu Shen (18 shared papers)Lin He (12 shared papers)Cong Huai (12 shared papers)Mingzhe Zhao (6 shared papers)Na Zhang (5 shared papers)Qiang Fu (24 shared papers)
- Journals
- International Journal of Pharmaceutics (8 papers)Frontiers in Pharmacology (6 papers)Colloids and Surfaces B Biointerfaces (4 papers)Powder Technology (4 papers)Translational Psychiatry (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Mo Li
121 papers receiving 2.6k citations
Mo Li's Hit Papers
Peers
Comparison fields: 5 of 153
- Pharmaceutical Science 432
- Pharmacology 306
- Molecular Biology 1.1k
- Oncology 423
- Genetics 402
Countries citing papers authored by Mo Li
This map shows the geographic impact of Mo 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 Mo Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Li more than expected).
Fields of papers citing papers by Mo Li
This network shows the impact of papers produced by Mo 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 Mo Li. The network helps show where Mo Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mo 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cytochrome P450 Enzymes and Drug Metabolism in Humans Hit paper breakdown → | 2021 | 551 |
| 2 | 2013 | 244 | |
| 3 | 2019 | 229 | |
| 4 | 2019 | 93 | |
| 5 | 2013 | 78 | |
| 6 | 2009 | 67 | |
| 7 | 2013 | 65 | |
| 8 | 2017 | 57 | |
| 9 | 2017 | 44 | |
| 10 | 2024 | 43 | |
| 11 | 2017 | 41 | |
| 12 | 2019 | 34 | |
| 13 | 2015 | 34 | |
| 14 | 2023 | 33 | |
| 15 | 2022 | 28 | |
| 16 | 2017 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2009 | 27 | |
| 19 | 2022 | 26 | |
| 20 | 2015 | 26 |
About Mo Li
Mo Li is a scholar working on Molecular Biology, Pharmaceutical Science, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 131 papers that have together received 2.7k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (21 papers), Advanced Drug Delivery Systems (17 papers), Crystallization and Solubility Studies (12 papers), RNA modifications and cancer (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Genetic Associations and Epidemiology (6 papers), Ferroptosis and cancer prognosis (6 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Pharmaceutical Science (432 citations), Pharmacology (306 citations), Molecular Biology (1.1k citations), Oncology (423 citations) and Genetics (402 citations). Mo Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiaochun Yu, Shengying Qin, Lu Shen, Lin He, Cong Huai, Mingzhe Zhao, Na Zhang, Qiang Fu, Bixuan Jiang and Xianglong Zhao. Their work appears in journals such as International Journal of Pharmaceutics, Frontiers in Pharmacology, Colloids and Surfaces B Biointerfaces, Powder Technology and Translational Psychiatry.
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.