Peng Wu
- Infectious Diseases top 0.5%
- Modeling and Simulation top 0.05%
- Epidemiology top 1%
- Agronomy and Crop Science top 0.5%
- Economics and Econometrics top 2%
- Co-authors
- Benjamin J. CowlingGM LeungEric H. Y. LauJoseph T. WuTim K. TsangJessica Y. WongSheikh Taslim AliHongjie Yu
- Topics
- COVID-19 epidemiological studies (74 papers)Influenza Virus Research Studies (59 papers)Respiratory viral infections research (36 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Peng Wu
185 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Infectious Diseases 2.7k
- Modeling and Simulation 2.3k
- Epidemiology 2.2k
- Agronomy and Crop Science 760
- Economics and Econometrics 599
Countries citing papers authored by Peng Wu
This map shows the geographic impact of Peng 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 Peng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Wu more than expected).
Fields of papers citing papers by Peng Wu
This network shows the impact of papers produced by Peng 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 Peng Wu. The network helps show where Peng Wu may publish in the future.
Co-authorship network of co-authors of Peng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Wu. A scholar is included among the top collaborators of Peng Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Wu. Peng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 22 | |
| 14 | 18 | |
| 15 | 25 | |
| 16 | 16 | |
| 17 | 113 | |
| 18 | 20 | |
| 19 | 71 | |
| 20 | Long-term Ketamine abuse induce interstitial cystitis in rat by impairing bladder epithelium barrier | 1 |
About Peng Wu
Peng Wu is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 200 papers that have together received 6.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (74 papers), Influenza Virus Research Studies (59 papers) and Respiratory viral infections research (36 papers). The work is most often cited by research in Modeling and Simulation (2.3k citations), Infectious Diseases (2.7k citations) and Agronomy and Crop Science (760 citations). Peng Wu has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Benjamin J. Cowling, GM Leung, Eric H. Y. Lau, Joseph T. Wu, Tim K. Tsang, Jessica Y. Wong, Sheikh Taslim Ali, Hongjie Yu, Qiuyan Liao and Vicky J. Fang. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Medicine.
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.