Pascale Bernillon

25 papers receiving 722 citations

Peers

Pascale Bernillon
Comparison fields: 5 of 97
  • Virology 93
  • Modeling and Simulation 88
  • Infectious Diseases 209
  • Epidemiology 197
  • Endocrinology 29
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Sunil Parikh United States
Joaniter I. Nankabirwa Uganda
Virginio Pietra Burkina Faso
Tal Brosh‐Nissimov Israel
Evangelia Georgia Kostaki Greece
Daniel Mukadi‐Bamuleka Democratic Republic of the Congo
Judy MacDonald Canada
Sabué Mulangu Democratic Republic of the Congo
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Citations per field
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Citations per year

Countries citing papers authored by Pascale Bernillon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pascale Bernillon Line = papers co-authored together Pascale Bernillon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008112
2 2009100
3 200098
4 200768
5 202046
6 200041
7 201840
8 200839
9 201135
10 200823
11 200921
12 201521
13 200820
14 200019
15 200918
16
Surveillance of HIV/AIDS infection in France, 2009.
201010
17 201510
18 201310
19 20078
20
Prevalence, morbidity and mortality associated with chronic hepatitis B and C in the French hospitalized population (2004-2011).
20143

About Pascale Bernillon

Pascale Bernillon is a scholar working on Epidemiology, Statistics and Probability, Infectious Diseases, Modeling and Simulation and Virology, having authored 25 papers that have together received 747 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (6 papers), Census and Population Estimation (4 papers), HIV/AIDS Research and Interventions (4 papers), COVID-19 epidemiological studies (3 papers), Blood donation and transfusion practices (2 papers), HIV Research and Treatment (2 papers), Influenza Virus Research Studies (2 papers) and Legionella and Acanthamoeba research (2 papers). The work is most often cited by research in Virology (93 citations), Modeling and Simulation (88 citations), Infectious Diseases (209 citations), Epidemiology (197 citations) and Endocrinology (29 citations). Pascale Bernillon has collaborated with scholars based in France, Maldives and Belgium. Frequent co-authors include Frédéric Y. Bois, J C Desenclos, Pierre‐Yves Boëlle, Josiane Pillonel, Jean‐Claude Desenclos, Henriette de Valk, Caroline Semaille, Azzedine Assal, I. Quatresous and Stéphane Le Vu. Their work appears in journals such as Eurosurveillance, Environmental Health Perspectives, Transfusion, Infection Control and Hospital Epidemiology 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.

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