François Dabis
- Infectious Diseases top 2%
- Epidemiology top 5%
- Virology top 1%
- General Health Professions top 5%
- Emergency Medicine top 5%
- Co-authors
- Valériane LeroyPhilippe Van de PerreMarie‐Louise NewellDolorès VairaPhilippe LepageC. Van GoethemArlette SimononPhilippe Msellati
- Topics
- HIV/AIDS Research and Interventions (20 papers)HIV, Drug Use, Sexual Risk (9 papers)HIV Research and Treatment (8 papers)
- Partner nations
- FranceIvory CoastSouth Africa
In The Last Decade
François Dabis
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 949
- Epidemiology 490
- Virology 448
- General Health Professions 280
- Emergency Medicine 199
Countries citing papers authored by François Dabis
This map shows the geographic impact of François Dabis'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 François Dabis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Dabis more than expected).
Fields of papers citing papers by François Dabis
This network shows the impact of papers produced by François Dabis. 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 François Dabis. The network helps show where François Dabis may publish in the future.
Co-authorship network of co-authors of François Dabis
This figure shows the co-authorship network connecting the top 25 collaborators of François Dabis. A scholar is included among the top collaborators of François Dabis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with François Dabis. François Dabis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 96 | |
| 4 | 122 | |
| 5 | 10 | |
| 6 | 60 | |
| 7 | 162 | |
| 8 | 13 | |
| 9 | 64 | |
| 10 | 15 | |
| 11 | 46 | |
| 12 | 25 | |
| 13 | 26 | |
| 14 | 14 | |
| 15 | 39 | |
| 16 | [Transmission of tuberculosis in Gironde: epidemiologic investigation by genomic analysis of Mycobacterium tuberculosis]. | 4 |
| 17 | Infection maternelle par le VIH et paramètres anthropométriques de l’enfant à la naissance au Burkina Faso | 1 |
| 18 | 49 | |
| 19 | Contrôle de la rougeole dans les pays en développement | 3 |
| 20 | 254 |
About François Dabis
François Dabis is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (20 papers), HIV, Drug Use, Sexual Risk (9 papers) and HIV Research and Treatment (8 papers). The work is most often cited by research in Virology (448 citations), Infectious Diseases (949 citations) and Emergency Medicine (199 citations). François Dabis has collaborated with scholars based in France, Ivory Coast and South Africa. Frequent co-authors include Valériane Leroy, Philippe Van de Perre, Marie‐Louise Newell, Dolorès Vaira, Philippe Lepage, C. Van Goethem, Arlette Simonon, Philippe Msellati, Etienne Karita and Déo-Gratias Hitimana. Their work appears in journals such as New England Journal of Medicine, The Lancet and PLoS Medicine.
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.