Ange Bissielo
- Epidemiology top 10%
- Infectious Diseases top 10%
- Modeling and Simulation top 2%
- Ecology
- Health top 10%
- Co-authors
- Q. Sue HuangMichael G. BakerNikki TurnerDon BandaranayakeGraham MackerethNevil PierseRichard J. HallSeiha Yen
- Topics
- Influenza Virus Research Studies (11 papers)Respiratory viral infections research (10 papers)COVID-19 epidemiological studies (4 papers)
- Journals
- PLoS ONEBMC Public HealthVaccine
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Ange Bissielo
16 papers receiving 589 citations
Peers
Comparison fields: 5 of 75
- Epidemiology 390
- Infectious Diseases 177
- Modeling and Simulation 114
- Ecology 72
- Health 63
Countries citing papers authored by Ange Bissielo
This map shows the geographic impact of Ange Bissielo'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 Ange Bissielo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ange Bissielo more than expected).
Fields of papers citing papers by Ange Bissielo
This network shows the impact of papers produced by Ange Bissielo. 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 Ange Bissielo. The network helps show where Ange Bissielo may publish in the future.
Co-authorship network of co-authors of Ange Bissielo
This figure shows the co-authorship network connecting the top 25 collaborators of Ange Bissielo. A scholar is included among the top collaborators of Ange Bissielo 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 Ange Bissielo. Ange Bissielo 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 | 16 | |
| 3 | 52 | |
| 4 | 13 | |
| 5 | 56 | |
| 6 | 27 | |
| 7 | Whooping cough—where are we now? A review. | 7 |
| 8 | The effectiveness of seasonal trivalent inactivated influenza vaccine in preventing influenza hospitalisations and primary care visits in Auckland, New Zealand in 2013: provisional results | 3 |
| 9 | 23 | |
| 10 | 33 | |
| 11 | 24 | |
| 12 | 153 | |
| 13 | TUBERCULOSIS IN NEW ZEALAND ANNUAL REPORT 2010 | 23 |
| 14 | 28 | |
| 15 | 83 | |
| 16 | 60 |
About Ange Bissielo
Ange Bissielo is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 16 papers that have together received 602 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Respiratory viral infections research (10 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (114 citations), Epidemiology (390 citations) and Infectious Diseases (177 citations). Ange Bissielo has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Q. Sue Huang, Michael G. Baker, Nikki Turner, Don Bandaranayake, Graham Mackereth, Nevil Pierse, Richard J. Hall, Seiha Yen, Matthew Peacey and Philip E. Carter. Their work appears in journals such as PLoS ONE, BMC Public Health and Vaccine.
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.