M. Detoc
Impact in
- Health top 0.5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
- Health 8
- Vaccine Coverage and Hesitancy 8
-
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Amandine Gagneux‐Brunon (9 shared papers)Élisabeth Botelho-Nevers (9 shared papers)Bernard Tardy (2 shared papers)Sébastien Bruel (2 shared papers)Paul Frappé (2 shared papers)Karine Portet (1 shared paper)Corinne Henriquet (1 shared paper)Caroline Roumestan (1 shared paper)
- Journals
- Vaccine (3 papers)Expert Review of Vaccines (2 papers)European Journal of Clinical Microbiology & Infectious Diseases (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Respiratory Research (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
M. Detoc
10 papers receiving 1.1k citations
M. Detoc's Hit Papers
Peers
Comparison fields: 5 of 104
- Health 879
- Modeling and Simulation 286
- Biological Psychiatry 100
- Infectious Diseases 642
- Behavioral Neuroscience 79
Countries citing papers authored by M. Detoc
This map shows the geographic impact of M. Detoc'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 M. Detoc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Detoc more than expected).
Fields of papers citing papers by M. Detoc
This network shows the impact of papers produced by M. Detoc. 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 M. Detoc. The network helps show where M. Detoc may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Detoc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic Hit paper breakdown → | 2020 | 456 |
| 2 | Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: a cross-sectional survey Hit paper breakdown → | 2020 | 407 |
| 3 | 2007 | 192 | |
| 4 | 2016 | 44 | |
| 5 | 2019 | 24 | |
| 6 | 2017 | 15 | |
| 7 | 2020 | 12 | |
| 8 | 2022 | 5 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 1 |
About M. Detoc
M. Detoc is a scholar working on Health, Infectious Diseases, Public Health, Environmental and Occupational Health, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Ethics in Clinical Research (3 papers), Psychology of Moral and Emotional Judgment (1 paper), COVID-19 Impact on Reproduction (1 paper), Tryptophan and brain disorders (1 paper), Hepatitis B Virus Studies (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Health (879 citations), Modeling and Simulation (286 citations), Biological Psychiatry (100 citations), Infectious Diseases (642 citations) and Behavioral Neuroscience (79 citations). M. Detoc has collaborated with scholars based in France and United States. Frequent co-authors include Amandine Gagneux‐Brunon, Élisabeth Botelho-Nevers, Bernard Tardy, Sébastien Bruel, Paul Frappé, Karine Portet, Corinne Henriquet, Caroline Roumestan, Dany Jaffuel and Alain Michel. Their work appears in journals such as Vaccine, Expert Review of Vaccines, European Journal of Clinical Microbiology & Infectious Diseases, Human Vaccines & Immunotherapeutics and Respiratory Research.
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.