Pascale Bernillon
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Virology top 5%
- HIV Research and Treatment
Papers in
- Epidemiology 12
- HIV, Drug Use, Sexual Risk 7
- Data-Driven Disease Surveillance 3
- Influenza Virus Research Studies 2
-
- HIV/AIDS Research and Interventions 6
- Co-authors
- Frédéric Y. Bois (3 shared papers)J C Desenclos (3 shared papers)Pierre‐Yves Boëlle (2 shared papers)Josiane Pillonel (7 shared papers)Henriette de Valk (2 shared papers)Caroline Semaille (5 shared papers)Azzedine Assal (1 shared paper)I. Quatresous (1 shared paper)
In The Last Decade
Pascale Bernillon
25 papers receiving 716 citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 114
- Virology 107
- Infectious Diseases 316
- Epidemiology 298
- Endocrinology 36
Countries citing papers authored by Pascale Bernillon
This map shows the geographic impact of Pascale Bernillon'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 Pascale Bernillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascale Bernillon more than expected).
Fields of papers citing papers by Pascale Bernillon
This network shows the impact of papers produced by Pascale Bernillon. 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 Pascale Bernillon. The network helps show where Pascale Bernillon may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascale Bernillon, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 111 | |
| 2 | 2009 | 100 | |
| 3 | 2000 | 98 | |
| 4 | 2007 | 68 | |
| 5 | 2020 | 44 | |
| 6 | 2000 | 41 | |
| 7 | 2018 | 39 | |
| 8 | 2008 | 38 | |
| 9 | 2011 | 35 | |
| 10 | 2008 | 23 | |
| 11 | 2009 | 21 | |
| 12 | 2015 | 21 | |
| 13 | 2008 | 20 | |
| 14 | 2000 | 19 | |
| 15 | 2009 | 18 | |
| 16 | Surveillance of HIV/AIDS infection in France, 2009. | 2010 | 10 |
| 17 | 2015 | 10 | |
| 18 | 2013 | 10 | |
| 19 | 2007 | 8 | |
| 20 | Prevalence, morbidity and mortality associated with chronic hepatitis B and C in the French hospitalized population (2004-2011). | 2014 | 3 |
About Pascale Bernillon
Pascale Bernillon is a scholar working on Epidemiology, Infectious Diseases, Statistics and Probability, Virology and Modeling and Simulation, having authored 25 papers that have together received 742 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (7 papers), HIV/AIDS Research and Interventions (6 papers), Census and Population Estimation (4 papers), HIV Research and Treatment (3 papers), Data-Driven Disease Surveillance (3 papers), COVID-19 epidemiological studies (3 papers), Influenza Virus Research Studies (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Modeling and Simulation (114 citations), Virology (107 citations), Infectious Diseases (316 citations), Epidemiology (298 citations) and Endocrinology (36 citations). Pascale Bernillon has collaborated with scholars based in France, Slovakia and Portugal. Frequent co-authors include Frédéric Y. Bois, J C Desenclos, Pierre‐Yves Boëlle, Josiane Pillonel, Henriette de Valk, Caroline Semaille, Azzedine Assal, I. Quatresous, Stéphane Le Vu and Françis Barin. Their work appears in journals such as Eurosurveillance, Transfusion, Environmental Health Perspectives, Diabetes & Metabolism and BMC Public Health.
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.