Hui Wang
Impact in
- Biological Psychiatry top 1%
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 27
- Medical Imaging Techniques and Applications 27
- Radiopharmaceutical Chemistry and Applications 25
- Radiomics and Machine Learning in Medical Imaging 20
- Co-authors
- Zibo LiXiaohong ChenMengzhe WangBo TangPing LiChenghui LiuDepu ChenZhanhong Wu
- Journals
- Chemical Communications (9 papers)Frontiers in Oncology (8 papers)Molecular Pharmaceutics (6 papers)Journal of Clinical Oncology (6 papers)Cancer Research (5 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Hui Wang
454 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Biological Psychiatry 338
- Biomaterials 821
- Molecular Biology 4.2k
- Cancer Research 886
- Biomedical Engineering 2.5k
Countries citing papers authored by Hui Wang
This map shows the geographic impact of Hui 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 Hui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Wang more than expected).
Fields of papers citing papers by Hui Wang
This network shows the impact of papers produced by Hui 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 Hui Wang. The network helps show where Hui Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 20 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 75 | |
| 15 | 2018 | 170 | |
| 16 | 2010 | 55 | |
| 17 | 2009 | 47 | |
| 18 | 2008 | 45 | |
| 19 | [Mucosal administration of alpha-fodrin inhibits experimental Sjögren's syndrome autoimmunity]. | 2008 | 4 |
| 20 | Tumor necrosis factor is a brain damaging cytokine in cerebral ischemia. | 1997 | 138 |
About Hui Wang
Hui Wang is a scholar working on Biological Psychiatry, Radiology, Nuclear Medicine and Imaging, Developmental Neuroscience, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 490 papers that have together received 12.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (38 papers), Luminescence Properties of Advanced Materials (28 papers), Monoclonal and Polyclonal Antibodies Research (27 papers), Medical Imaging Techniques and Applications (27 papers), Radiopharmaceutical Chemistry and Applications (25 papers), Luminescence and Fluorescent Materials (22 papers), Click Chemistry and Applications (20 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). The work is most often cited by research in Biological Psychiatry (338 citations), Biomaterials (821 citations), Molecular Biology (4.2k citations), Cancer Research (886 citations) and Biomedical Engineering (2.5k citations). Hui Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Zibo Li, Xiaohong Chen, Mengzhe Wang, Bo Tang, Ping Li, Chenghui Liu, Depu Chen, Zhanhong Wu, Kai Chen and Wen Zhang. Their work appears in journals such as Chemical Communications, Frontiers in Oncology, Molecular Pharmaceutics, Journal of Clinical Oncology and Cancer Research.
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.