Paul Van Caeseele
- Epidemiology top 1%
- Infectious Diseases top 2%
- Microbiology top 2%
- Health top 5%
- Modeling and Simulation top 1%
- Co-authors
- Nathalie BastienSalaheddin M. MahmudKevin FonsecaMel KrajdenDanuta M. SkowronskiGaston De SerresJonathan B. GubbayHugues Charest
- Topics
- Respiratory viral infections research (29 papers)Influenza Virus Research Studies (25 papers)Bacterial Infections and Vaccines (17 papers)
- Journals
- JAMANature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesBarbados
In The Last Decade
Paul Van Caeseele
90 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 114
- Epidemiology 1.8k
- Infectious Diseases 883
- Microbiology 256
- Health 232
- Modeling and Simulation 226
Countries citing papers authored by Paul Van Caeseele
This map shows the geographic impact of Paul Van Caeseele'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 Paul Van Caeseele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Van Caeseele more than expected).
Fields of papers citing papers by Paul Van Caeseele
This network shows the impact of papers produced by Paul Van Caeseele. 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 Paul Van Caeseele. The network helps show where Paul Van Caeseele may publish in the future.
Co-authorship network of co-authors of Paul Van Caeseele
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Van Caeseele. A scholar is included among the top collaborators of Paul Van Caeseele 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 Paul Van Caeseele. Paul Van Caeseele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 34 | |
| 10 | 13 | |
| 11 | 23 | |
| 12 | Equations to predict antimicrobial minimum inhibitory concentrations in Neisseria gonorrhoeae using molecular antimicrobial resistance determinants | 1 |
| 13 | 16 | |
| 14 | 5 | |
| 15 | Update on STIs: Impact of a social media campaign targeting men who have sex with men during an outbreak of syphilis in Winnipeg, Canada | 1 |
| 16 | 15 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 187 | |
| 20 | 1 |
About Paul Van Caeseele
Paul Van Caeseele is a scholar working on Microbiology, Modeling and Simulation and Infectious Diseases, having authored 106 papers that have together received 2.5k indexed citations. Recurring topics across this work include Respiratory viral infections research (29 papers), Influenza Virus Research Studies (25 papers) and Bacterial Infections and Vaccines (17 papers). The work is most often cited by research in Epidemiology (1.8k citations), Modeling and Simulation (226 citations) and Infectious Diseases (883 citations). Paul Van Caeseele has collaborated with scholars based in Canada, United States and Barbados. Frequent co-authors include Nathalie Bastien, Salaheddin M. Mahmud, Kevin Fonseca, Mel Krajden, Danuta M. Skowronski, Gaston De Serres, Jonathan B. Gubbay, Hugues Charest, James A. Dickinson and Suzana Sabaiduc. Their work appears in journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.
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.