Joël Mossong

13.1k citations
84 papers · 4.8k indexed · 3 hit papers · h-index 31
    • COVID-19 epidemiological studies 16
    • Viral gastroenteritis research and epidemiology 13
    • SARS-CoV-2 and COVID-19 Research 12
    • HIV/AIDS Research and Interventions 10
  • Health top 1%
    • Vaccine Coverage and Hesitancy 10
    • Virology and Viral Diseases 12
    • Respiratory viral infections research 8
  • Virology top 5%
    • Salmonella and Campylobacter epidemiology 12

Joël Mossong

81 papers receiving 4.7k citations

Hit Papers

Impact ...81200820262014202050010001.5k

Peers

Joël Mossong
Comparison fields: 5 of 153
  • Modeling and Simulation 1.9k
  • Infectious Diseases 1.7k
  • Health 561
  • Epidemiology 2.1k
  • Virology 221
Replace Peter Horby with:
Peter Horby United Kingdom
Gérard Krause Germany
Johan Giesecke Sweden
Antonino Bella Italy
Graham F. Medley United Kingdom
Philippe Gautret France
Virginia E. Pitzer United States
Rebecca F. Grais United States
Nicholas C. Grassly United Kingdom
David N Dürrheim Australia
Joël Mossong relative to Peter Horby United Kingdom Peter Horby's profile →
Citations per field
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Citations per year

Countries citing papers authored by Joël Mossong

Since Specialization
Citations

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

Fields of papers citing papers by Joël Mossong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20231
3 202157
4 20210
5 202114
6 202118
7 202018
8 201924
9 20185
10 201662
11 201242
12 2012113
13 201135
14 201027
15 20094
16 2009168
17 200821
18 200793
19 200444
20 200052

About Joël Mossong

Joël Mossong is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 84 papers that have together received 4.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (16 papers), Viral gastroenteritis research and epidemiology (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Virology and Viral Diseases (12 papers), Salmonella and Campylobacter epidemiology (12 papers), Vaccine Coverage and Hesitancy (10 papers), HIV/AIDS Research and Interventions (10 papers) and Respiratory viral infections research (8 papers). The work is most often cited by research in Modeling and Simulation (1.9k citations), Infectious Diseases (1.7k citations) and Health (561 citations). Joël Mossong has collaborated with scholars based in Luxembourg, Belgium and United Kingdom. Frequent co-authors include W. John Edmunds, Niel Hens, Philippe Beutels, Jacco Wallinga, Marco Massari, Małgorzata Sadkowska-Todys, Magdalena Rosińska, Rafael Mikolajczyk, Mark Jit and Gianpaolo Scalia Tomba.

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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