Marion Debin

983 citations
25 papers · 493 · h-index 14

Impact in

Papers in

Marion Debin

24 papers receiving 490 citations

Peers

Marion Debin
Comparison fields: 5 of 91
  • Modeling and Simulation 152
  • Health 76
  • Infectious Diseases 108
  • Epidemiology 185
  • Applied Psychology 22
Replace Emanuele Del Fava with:
Emanuele Del Fava Italy
Merle M. Böhmer Germany
Ndadilnasiya Waziri Nigeria
Jennifer M. Olsen United States
Sarah Kada United States
Lina Moses United States
Lauren Charles United States
Thomas Finnie United Kingdom
Sibylle Bernard-Stoecklin France
David P. Durham United States
Marion Debin relative to Emanuele Del Fava Italy Emanuele Del Fava's profile →
Citations per field
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Emanuele Del Fava · 1×
Citations per year

Countries citing papers authored by Marion Debin

Since Specialization
Citations

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

Fields of papers citing papers by Marion Debin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marion Debin, 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 Marion Debin Line = papers co-authored together Marion Debin 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 2020149
2 201342
3 201434
4 202132
5 201432
6 200926
7 201923
8 201323
9 201916
10 202214
11 201514
12 201014
13 202313
14 201313
15 201312
16 201310
17 20227
18 20224
19 20254
20 20213

About Marion Debin

Marion Debin is a scholar working on Epidemiology, Infectious Diseases, Sociology and Political Science, Public Health, Environmental and Occupational Health and Health, having authored 25 papers that have together received 493 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Respiratory viral infections research (6 papers), Opioid Use Disorder Treatment (3 papers), Data-Driven Disease Surveillance (3 papers), COVID-19 epidemiological studies (3 papers), Smoking Behavior and Cessation (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Modeling and Simulation (152 citations), Health (76 citations), Infectious Diseases (108 citations), Epidemiology (185 citations) and Applied Psychology (22 citations). Marion Debin has collaborated with scholars based in France, Italy and Sweden. Frequent co-authors include Vittoria Colizza, Thierry Blanchon, Clément Turbelin, Thomas Hanslik, Caroline Guerrisi, Cécile Souty, Pierre‐Yves Boëlle, Eugenio Valdano, Julie Figoni and Laura Di Domenico. Their work appears in journals such as Vaccine, PLoS ONE, Nutrients, Scientific Reports and Human Vaccines & Immunotherapeutics.

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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