Kan Wang
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Nanoparticle-Based Drug Delivery
Papers in
- Surgery 9
- Co-authors
- Daxiang Cui (10 shared papers)Lei Chen (1 shared paper)Jianpeng Ma (1 shared paper)Jun Shen (1 shared paper)Jian Ge (1 shared paper)Aijun Sun (1 shared paper)Shenghong Zhang (1 shared paper)Peng Huang (5 shared papers)
- Journals
- CNS Neuroscience & Therapeutics (2 papers)CrystEngComm (2 papers)Nanoscale Research Letters (2 papers)Journal of Integrative Neuroscience (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Kan Wang
39 papers receiving 881 citations
Peers
Comparison fields: 5 of 119
- Genetics 133
- Biomaterials 107
- Health Informatics 8
- Biomedical Engineering 246
- Molecular Biology 303
Countries citing papers authored by Kan Wang
This map shows the geographic impact of Kan 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 Kan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Wang more than expected).
Fields of papers citing papers by Kan Wang
This network shows the impact of papers produced by Kan 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 Kan Wang. The network helps show where Kan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 186 | |
| 2 | 2010 | 73 | |
| 3 | 2012 | 66 | |
| 4 | 2013 | 65 | |
| 5 | 2019 | 60 | |
| 6 | 2019 | 57 | |
| 7 | 2023 | 53 | |
| 8 | 2018 | 48 | |
| 9 | 2010 | 47 | |
| 10 | 2021 | 40 | |
| 11 | 2009 | 30 | |
| 12 | 2007 | 27 | |
| 13 | 2011 | 23 | |
| 14 | 2024 | 15 | |
| 15 | 2012 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2021 | 9 | |
| 18 | 2025 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 6 |
About Kan Wang
Kan Wang is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Physiology, having authored 46 papers that have together received 897 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Blood Pressure and Hypertension Studies (3 papers), Alzheimer's disease research and treatments (2 papers), Cardiovascular Health and Disease Prevention (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Genetics (133 citations), Biomaterials (107 citations), Health Informatics (8 citations), Biomedical Engineering (246 citations) and Molecular Biology (303 citations). Kan Wang has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Daxiang Cui, Lei Chen, Jianpeng Ma, Jun Shen, Jian Ge, Aijun Sun, Shenghong Zhang, Peng Huang, Guo Gao and Yangtai Guan. Their work appears in journals such as CNS Neuroscience & Therapeutics, CrystEngComm, Nanoscale Research Letters, Journal of Integrative Neuroscience and Scientific Reports.
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.