Bérengère Macabeo

455 citations
15 papers · 319 · h-index 10

Impact in

    • COVID-19 epidemiological studies
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections

Papers in

    • Influenza Virus Research Studies 8
    • Respiratory viral infections research 2
    • Pneumonia and Respiratory Infections 1
    • Melanoma and MAPK Pathways 2

Bérengère Macabeo

15 papers receiving 311 citations

Peers

Bérengère Macabeo
Comparison fields: 5 of 54
  • Modeling and Simulation 35
  • Epidemiology 218
  • Health 52
  • Infectious Diseases 34
  • Microbiology 6
Replace Iván Sanz-Muñoz with:
Iván Sanz-Muñoz Spain
Xingxing Zhang China
Yoshiyuki Sugishita Japan
Zhuoru Zou China
Christine Prosperi United States
Valentino Tisa Italy
Yanqin Yu China
Chukwudi A Nnaji South Africa
Rotem Lapidot United States
Amanda Kamali United States
Bérengère Macabeo relative to Iván Sanz-Muñoz Spain Iván Sanz-Muñoz's profile →
Citations per field
00.5×3.6×
Iván Sanz-Muñoz · 1×
Citations per year

Countries citing papers authored by Bérengère Macabeo

Since Specialization
Citations

This map shows the geographic impact of Bérengère Macabeo'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 Bérengère Macabeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bérengère Macabeo more than expected).

Fields of papers citing papers by Bérengère Macabeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bérengère Macabeo. 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 Bérengère Macabeo. The network helps show where Bérengère Macabeo may publish in the future.

Co-authors

The 25 scholars most cited alongside Bérengère Macabeo, 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 Bérengère Macabeo Line = papers co-authored together Bérengère Macabeo links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2014120
2 201330
3 201629
4 201722
5 202222
6 201722
7 201619
8 202417
9 201615
10 20239
11 20236
12 20234
13 20242
14 20221
15 20151

About Bérengère Macabeo

Bérengère Macabeo is a scholar working on Epidemiology, Molecular Biology, Health, Oncology and Economics and Econometrics, having authored 15 papers that have together received 319 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Vaccine Coverage and Hesitancy (2 papers), COVID-19 epidemiological studies (2 papers), Melanoma and MAPK Pathways (2 papers), Respiratory viral infections research (2 papers), Viral-associated cancers and disorders (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Modeling and Simulation (35 citations), Epidemiology (218 citations), Health (52 citations), Infectious Diseases (34 citations) and Microbiology (6 citations). Bérengère Macabeo has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Sandrine Samson, A.M. Palache, Philippe Laramée, Richard Pitman, Pascal Crépey, Pieter T. de Boer, C. François, Ayman Chit, Maarten J. Postma and Margaret Haugh. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Value in Health, BMC Public Health, Expert Review of Vaccines and Cancer Treatment Reviews.

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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