M. Detoc

1.7k citations
10 papers · 1.2k indexed · 2 hit papers · h-index 7

M. Detoc

10 papers receiving 1.1k citations

Hit Papers

Intention to get vaccinations against COVID-19 in French ...4072020202620222024100200300400

Peers

M. Detoc
Comparison fields: 5 of 104
  • Health 879
  • Modeling and Simulation 286
  • Biological Psychiatry 100
  • Infectious Diseases 642
  • Behavioral Neuroscience 79
Replace Jason L. Schwartz with:
Jason L. Schwartz United States
Sohel Daria Bangladesh
Diane Jones United States
Md Mohsin Bangladesh
Destin Groff United States
Abdul Aleem United States
Maria Pepe Italy
Nayer Khazeni United States
Yudong Shi China
M. Detoc relative to Jason L. Schwartz United States Jason L. Schwartz's profile →
Citations per field
00.5×10×20×30×39.5×
Jason L. Schwartz · 1×
Citations per year

Countries citing papers authored by M. Detoc

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

10 of 10 papers shown
#Work
1 20225
2
Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: a cross-sectional surveybreakdown →
2020407
3
Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemicbreakdown →
2020456
4 202012
5 201924
6 20194
7 20191
8 201715
9 201644
10 2007192

About M. Detoc

M. Detoc is a scholar working on Health, Biological Psychiatry and Infectious Diseases, 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), Stress Responses and Cortisol (1 paper), COVID-19 epidemiological studies (1 paper), COVID-19 and Mental Health (1 paper), Neuroendocrine regulation and behavior (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Health (879 citations), Modeling and Simulation (286 citations) and Biological Psychiatry (100 citations). M. Detoc has collaborated with scholars based in France and United States. Frequent co-authors include Élisabeth Botelho-Nevers, Amandine Gagneux‐Brunon, Sébastien Bruel, Bernard Tardy, Paul Frappé, Dany Jaffuel, Marc Mathieu, Karine Portet, Corinne Henriquet 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.

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