Weitai Wu
Impact in
- Molecular Medicine top 0.5%
- Hydrogels: synthesis, properties, applications
- Biomaterials top 0.5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Hydrogels: synthesis, properties, applications 31
- Biomaterials 27
- Nanoparticle-Based Drug Delivery 15
- Supramolecular Self-Assembly in Materials 10
- Co-authors
- Shuiqin Zhou (25 shared papers)Probal Banerjee (10 shared papers)Jing Shen (17 shared papers)Zahoor Hussain Farooqi (29 shared papers)Robina Begum (24 shared papers)Ahmad Irfan (20 shared papers)Ting Zhou (6 shared papers)Khalida Naseem (10 shared papers)
- Journals
- Polymer Chemistry (13 papers)Chemical Communications (7 papers)Nanotechnology (7 papers)Biomaterials (7 papers)ACS Macro Letters (6 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Weitai Wu
111 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 110
- Molecular Medicine 1.0k
- Biomaterials 1.2k
- Pharmaceutical Science 353
- Organic Chemistry 1.4k
- Bioengineering 210
Countries citing papers authored by Weitai Wu
This map shows the geographic impact of Weitai 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 Weitai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weitai Wu more than expected).
Fields of papers citing papers by Weitai Wu
This network shows the impact of papers produced by Weitai 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 Weitai Wu. The network helps show where Weitai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weitai 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
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 287 | |
| 2 | 2010 | 211 | |
| 3 | 2010 | 203 | |
| 4 | 2010 | 179 | |
| 5 | 2010 | 162 | |
| 6 | 2010 | 140 | |
| 7 | 2020 | 136 | |
| 8 | 2018 | 133 | |
| 9 | 2018 | 126 | |
| 10 | 2009 | 117 | |
| 11 | 2010 | 115 | |
| 12 | 2012 | 108 | |
| 13 | 2017 | 104 | |
| 14 | 2011 | 101 | |
| 15 | 2012 | 92 | |
| 16 | 2018 | 91 | |
| 17 | 2012 | 81 | |
| 18 | 2013 | 74 | |
| 19 | 2018 | 72 | |
| 20 | 2019 | 70 |
About Weitai Wu
Weitai Wu is a scholar working on Molecular Medicine, Biomaterials, Organic Chemistry, Electronic, Optical and Magnetic Materials and Polymers and Plastics, having authored 114 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hydrogels: synthesis, properties, applications (31 papers), Nanomaterials for catalytic reactions (27 papers), Gold and Silver Nanoparticles Synthesis and Applications (15 papers), Nanoparticle-Based Drug Delivery (15 papers), Electrochemical sensors and biosensors (15 papers), Supramolecular Self-Assembly in Materials (10 papers), Graphene and Nanomaterials Applications (9 papers) and Conducting polymers and applications (9 papers). The work is most often cited by research in Molecular Medicine (1.0k citations), Biomaterials (1.2k citations), Pharmaceutical Science (353 citations), Organic Chemistry (1.4k citations) and Bioengineering (210 citations). Weitai Wu has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Shuiqin Zhou, Probal Banerjee, Jing Shen, Zahoor Hussain Farooqi, Robina Begum, Ahmad Irfan, Ting Zhou, Khalida Naseem, Elsa C. Y. Yan and N. K. Mitra. Their work appears in journals such as Polymer Chemistry, Chemical Communications, Nanotechnology, Biomaterials and ACS Macro Letters.
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.