Can Wang
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- Antifungal resistance and susceptibility 2
-
- Bacterial Identification and Susceptibility Testing 4
- Co-authors
- Yulan Wang (1 shared paper)Miusi Shi (1 shared paper)Yufeng Zhang (1 shared paper)Lingling Zhang (1 shared paper)Richard J. Miron (1 shared paper)Jianfei Liang (1 shared paper)Shihang Zheng (1 shared paper)Wenting Mo (1 shared paper)
In The Last Decade
Can Wang
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Nephrology 131
- Biomaterials 150
- Infectious Diseases 179
- Clinical Biochemistry 45
- Biomedical Engineering 225
Countries citing papers authored by Can Wang
This map shows the geographic impact of Can 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 Can Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Wang more than expected).
Fields of papers citing papers by Can Wang
This network shows the impact of papers produced by Can 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 Can Wang. The network helps show where Can Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 299 | |
| 2 | 2018 | 159 | |
| 3 | 2017 | 124 | |
| 4 | 2007 | 51 | |
| 5 | 2017 | 46 | |
| 6 | 2007 | 45 | |
| 7 | 2020 | 43 | |
| 8 | 2010 | 41 | |
| 9 | 2018 | 39 | |
| 10 | 2012 | 27 | |
| 11 | 2021 | 27 | |
| 12 | 2017 | 26 | |
| 13 | 2017 | 25 | |
| 14 | 2020 | 23 | |
| 15 | 2024 | 23 | |
| 16 | 2022 | 20 | |
| 17 | 2022 | 17 | |
| 18 | 2022 | 14 | |
| 19 | 2015 | 12 | |
| 20 | 2011 | 11 |
About Can Wang
Can Wang is a scholar working on Infectious Diseases, Clinical Biochemistry, Nephrology, Modeling and Simulation and Epidemiology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Biosensors and Analytical Detection (4 papers), Influenza Virus Research Studies (3 papers), COVID-19 epidemiological studies (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Dermatology and Skin Diseases (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Nephrology (131 citations), Biomaterials (150 citations), Infectious Diseases (179 citations), Clinical Biochemistry (45 citations) and Biomedical Engineering (225 citations). Can Wang has collaborated with scholars based in China, Hong Kong and Ireland. Frequent co-authors include Yulan Wang, Miusi Shi, Yufeng Zhang, Lingling Zhang, Richard J. Miron, Jianfei Liang, Shihang Zheng, Wenting Mo, Yanbing Zhao and Xiamin Cheng. Their work appears in journals such as Scientific Reports, Antimicrobial Agents and Chemotherapy, Frontiers of Environmental Science & Engineering, Journal of Clinical Microbiology and Sexually Transmitted Infections.
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.