Kai-Wei Wu
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
- Drug Solubulity and Delivery Systems
Papers in
-
- Advanced Drug Delivery Systems 3
- Advancements in Transdermal Drug Delivery 2
-
- Forensic Toxicology and Drug Analysis 1
- Co-authors
- Prit Manish Lakhani (4 shared papers)Soumyajit Majumdar (3 shared papers)Corinne R. Sweeney (3 shared papers)Akash Patil (2 shared papers)Bharathi Avula (2 shared papers)Pranjal Taskar (2 shared papers)Huy Minh Dao (1 shared paper)Michael A. Repka (1 shared paper)
- Journals
- International Journal of Pharmaceutics (3 papers)AAPS PharmSciTech (2 papers)Bioresource Technology (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Kai-Wei Wu
7 papers receiving 376 citations
Peers
Comparison fields: 5 of 94
- Pharmaceutical Science 140
- Drug Discovery 1
- Ophthalmology 30
- Biomaterials 38
- Public Health, Environmental and Occupational Health 74
Countries citing papers authored by Kai-Wei Wu
This map shows the geographic impact of Kai-Wei Wu'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 Kai-Wei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Wei Wu more than expected).
Fields of papers citing papers by Kai-Wei Wu
This network shows the impact of papers produced by Kai-Wei Wu. 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 Kai-Wei Wu. The network helps show where Kai-Wei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai-Wei Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 88 | |
| 2 | 2013 | 81 | |
| 3 | 2019 | 79 | |
| 4 | 2021 | 63 | |
| 5 | 2018 | 58 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 |
About Kai-Wei Wu
Kai-Wei Wu is a scholar working on Pharmaceutical Science, Toxicology, Gastroenterology, Speech and Hearing and Ophthalmology, having authored 8 papers that have together received 388 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (3 papers), Advancements in Transdermal Drug Delivery (2 papers), Ocular Infections and Treatments (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Forensic Toxicology and Drug Analysis (1 paper), Lipid Membrane Structure and Behavior (1 paper), Dysphagia Assessment and Management (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Pharmaceutical Science (140 citations), Drug Discovery (1 citation), Ophthalmology (30 citations), Biomaterials (38 citations) and Public Health, Environmental and Occupational Health (74 citations). Kai-Wei Wu has collaborated with scholars based in United States and China. Frequent co-authors include Prit Manish Lakhani, Soumyajit Majumdar, Corinne R. Sweeney, Akash Patil, Bharathi Avula, Pranjal Taskar, Huy Minh Dao, Michael A. Repka, S. Narasimha Murthy and Wenying Shi. Their work appears in journals such as International Journal of Pharmaceutics, AAPS PharmSciTech, Bioresource Technology, Journal of Pharmaceutical and Biomedical Analysis and Journal of Pharmaceutical Sciences.
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.