Shujun Wang
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 2%
Papers in
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- Advanced biosensing and bioanalysis techniques 6
-
- Luminescence and Fluorescent Materials 7
- Co-authors
- Tiantian Ye (19 shared papers)Jin Sun (3 shared papers)Jeevithan Elango (5 shared papers)Wenhui Wu (4 shared papers)Yuling Mao (6 shared papers)Wei Liu (1 shared paper)Jin Wang (1 shared paper)Hongyan Liu (3 shared papers)
- Journals
- Drug Delivery (5 papers)Carbohydrate Polymers (5 papers)Scientific Reports (4 papers)Asian Journal of Pharmaceutical Sciences (4 papers)Journal of Applied Polymer Science (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shujun Wang
235 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 162
- Biomaterials 766
- Pharmaceutical Science 199
- Cancer Research 301
- Electrochemistry 135
- Biochemistry 154
Countries citing papers authored by Shujun Wang
This map shows the geographic impact of Shujun Wang'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 Shujun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shujun Wang more than expected).
Fields of papers citing papers by Shujun Wang
This network shows the impact of papers produced by Shujun Wang. 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 Shujun Wang. The network helps show where Shujun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shujun Wang, 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 243 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 250 | |
| 2 | 2010 | 201 | |
| 3 | 2020 | 132 | |
| 4 | 2017 | 127 | |
| 5 | 2019 | 113 | |
| 6 | 2022 | 111 | |
| 7 | Multidrug resistance P-glycoprotein: crucial significance in drug disposition and interaction. | 2004 | 106 |
| 8 | 2021 | 94 | |
| 9 | 2008 | 85 | |
| 10 | 2020 | 80 | |
| 11 | 2015 | 80 | |
| 12 | 2015 | 76 | |
| 13 | 2022 | 75 | |
| 14 | 2017 | 74 | |
| 15 | 2010 | 73 | |
| 16 | 2021 | 71 | |
| 17 | 2007 | 71 | |
| 18 | 2014 | 69 | |
| 19 | 2009 | 66 | |
| 20 | 2022 | 53 |
About Shujun Wang
Shujun Wang is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Biomaterials and Oncology, having authored 243 papers that have together received 5.0k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (13 papers), Metal-Organic Frameworks: Synthesis and Applications (11 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (8 papers), Luminescence and Fluorescent Materials (7 papers), Nanoplatforms for cancer theranostics (7 papers), Peanut Plant Research Studies (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Biomaterials (766 citations), Pharmaceutical Science (199 citations), Cancer Research (301 citations), Electrochemistry (135 citations) and Biochemistry (154 citations). Shujun Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tiantian Ye, Jin Sun, Jeevithan Elango, Wenhui Wu, Yuling Mao, Wei Liu, Jin Wang, Hongyan Liu, Zhonggui He and Shiyi Zuo. Their work appears in journals such as Drug Delivery, Carbohydrate Polymers, Scientific Reports, Asian Journal of Pharmaceutical Sciences and Journal of Applied Polymer Science.
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.