Yang Mai
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
- Pharmacological Effects of Natural Compounds
Papers in
- Oncology 11
- Drug Transport and Resistance Mechanisms 10
- Co-authors
- Abdul W. Basit (16 shared papers)Dou Liu (13 shared papers)Sudaxshina Murdan (12 shared papers)Christine M. Madla (8 shared papers)Mine Orlu (6 shared papers)Farhan Taherali (5 shared papers)Francesca K. H. Gavins (5 shared papers)Wenbin Deng (6 shared papers)
- Journals
- International Journal of Pharmaceutics (5 papers)Pharmaceutics (4 papers)European Journal of Pharmaceutical Sciences (3 papers)Biomedicines (2 papers)Rhinology Journal (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yang Mai
32 papers receiving 435 citations
Peers
Comparison fields: 5 of 98
- Pharmaceutical Science 66
- Pharmacology 65
- Biomaterials 63
- Oncology 106
- Gastroenterology 21
Countries citing papers authored by Yang Mai
This map shows the geographic impact of Yang 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 Yang Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Mai more than expected).
Fields of papers citing papers by Yang Mai
This network shows the impact of papers produced by Yang 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 Yang Mai. The network helps show where Yang Mai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 40 | |
| 2 | 2022 | 32 | |
| 3 | 2013 | 29 | |
| 4 | 2018 | 27 | |
| 5 | 2022 | 25 | |
| 6 | 2024 | 25 | |
| 7 | 2019 | 24 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2022 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2025 | 9 | |
| 20 | 2022 | 9 |
About Yang Mai
Yang Mai is a scholar working on Oncology, Molecular Biology, Surgery, Pharmacology and Biomedical Engineering, having authored 34 papers that have together received 439 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (10 papers), Nanoplatforms for cancer theranostics (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Inflammatory mediators and NSAID effects (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Advancements in Transdermal Drug Delivery (2 papers). The work is most often cited by research in Pharmaceutical Science (66 citations), Pharmacology (65 citations), Biomaterials (63 citations), Oncology (106 citations) and Gastroenterology (21 citations). Yang Mai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Abdul W. Basit, Dou Liu, Sudaxshina Murdan, Christine M. Madla, Mine Orlu, Farhan Taherali, Francesca K. H. Gavins, Wenbin Deng, Yang Deng and Zhaoxiang Yang. Their work appears in journals such as International Journal of Pharmaceutics, Pharmaceutics, European Journal of Pharmaceutical Sciences, Biomedicines and Rhinology Journal.
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.