Pengxing Cao
- Epidemiology
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Molecular Biology
- Immunology
- Co-authors
- James M. McCawJames SneydAda W. C. YanGraham M. DonovanSophie ZaloumisJodie McVernonJane M. HeffernanJ. A. Simpson
- Topics
- Influenza Virus Research Studies (10 papers)Malaria Research and Control (10 papers)Computational Drug Discovery Methods (8 papers)
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
Pengxing Cao
28 papers receiving 551 citations
Peers
Comparison fields: 5 of 79
- Epidemiology 223
- Public Health, Environmental and Occupational Health 173
- Infectious Diseases 133
- Molecular Biology 124
- Immunology 107
Countries citing papers authored by Pengxing Cao
This map shows the geographic impact of Pengxing Cao'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 Pengxing Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengxing Cao more than expected).
Fields of papers citing papers by Pengxing Cao
This network shows the impact of papers produced by Pengxing Cao. 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 Pengxing Cao. The network helps show where Pengxing Cao may publish in the future.
Co-authorship network of co-authors of Pengxing Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Pengxing Cao. A scholar is included among the top collaborators of Pengxing Cao 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 Pengxing Cao. Pengxing Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | 22 | |
| 10 | 28 | |
| 11 | 59 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 42 | |
| 15 | The time-interval between infections and viral hierarchies are determinants of viral interference following influenza virus infection in a ferret model | 3 |
| 16 | 24 | |
| 17 | 16 | |
| 18 | 46 | |
| 19 | 83 | |
| 20 | 40 |
About Pengxing Cao
Pengxing Cao is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Parasitology, having authored 29 papers that have together received 558 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Malaria Research and Control (10 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Modeling and Simulation (89 citations), Infectious Diseases (133 citations) and Epidemiology (223 citations). Pengxing Cao has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include James M. McCaw, James Sneyd, Ada W. C. Yan, Graham M. Donovan, Sophie Zaloumis, Jodie McVernon, Jane M. Heffernan, J. A. Simpson, Martin Falcke and Karen Laurie. Their work appears in journals such as Biophysical Journal, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.
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.