Jean-Charles Dufour

2.0k total citations
61 papers, 1.3k citations indexed

About

Jean-Charles Dufour is a scholar working on Molecular Biology, General Health Professions and Epidemiology. According to data from OpenAlex, Jean-Charles Dufour has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in General Health Professions and 9 papers in Epidemiology. Recurrent topics in Jean-Charles Dufour's work include Biomedical Text Mining and Ontologies (12 papers), Electronic Health Records Systems (7 papers) and Semantic Web and Ontologies (6 papers). Jean-Charles Dufour is often cited by papers focused on Biomedical Text Mining and Ontologies (12 papers), Electronic Health Records Systems (7 papers) and Semantic Web and Ontologies (6 papers). Jean-Charles Dufour collaborates with scholars based in France, Burkina Faso and United States. Jean-Charles Dufour's co-authors include Didier Raoult, Kankoé Sallah, Jean‐Christophe Lagier, Philippe Colson, Perrine Hugon, Pierre‐Edouard Fournier, Marius Fieschi, F. Cadoret, Melhem Bilen and Ziad Daoud and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Jean-Charles Dufour

58 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean-Charles Dufour 537 275 203 142 119 61 1.3k
Mary Southworth 271 0.5× 217 0.8× 80 0.4× 232 1.6× 109 0.9× 31 3.0k
James H. Nichols 289 0.5× 162 0.6× 93 0.5× 143 1.0× 114 1.0× 143 2.3k
Gaetano Pierpaolo Privitera 382 0.7× 528 1.9× 664 3.3× 187 1.3× 148 1.2× 123 2.8k
Susanne Schmitz 254 0.5× 451 1.6× 81 0.4× 94 0.7× 197 1.7× 70 2.3k
Emmanuel Ifeanyi Obeagu 197 0.4× 271 1.0× 355 1.7× 305 2.1× 225 1.9× 436 2.6k
Shashikiran Umakanth 190 0.4× 129 0.5× 110 0.5× 148 1.0× 42 0.4× 112 1.1k
Masoud Behzadifar 145 0.3× 339 1.2× 184 0.9× 223 1.6× 476 4.0× 141 2.1k
Mauro Giacomini 307 0.6× 179 0.7× 272 1.3× 56 0.4× 34 0.3× 171 1.6k
Mohammad Irshad 292 0.5× 745 2.7× 258 1.3× 284 2.0× 173 1.5× 155 2.8k
Aaron T. Fleischauer 463 0.9× 989 3.6× 326 1.6× 450 3.2× 109 0.9× 65 2.5k

Countries citing papers authored by Jean-Charles Dufour

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Charles Dufour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Charles Dufour. 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 Jean-Charles Dufour. The network helps show where Jean-Charles Dufour may publish in the future.

Co-authorship network of co-authors of Jean-Charles Dufour

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Charles Dufour. A scholar is included among the top collaborators of Jean-Charles Dufour 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 Jean-Charles Dufour. Jean-Charles Dufour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ureña, Raquel, Sabine Camiade, Martine Piarroux, et al.. (2024). Proof of concept study on early forecasting of antimicrobial resistance in hospitalized patients using machine learning and simple bacterial ecology data. Scientific Reports. 14(1). 22683–22683. 1 indexed citations
2.
Grosjean, Julien, Arriel Benis, Jean-Charles Dufour, et al.. (2023). Sharing Digital Health Educational Resources in a One-Stop Shop Portal: Tutorial on the Catalog and Index of Digital Health Teaching Resources (CIDHR) Semantic Search Engine. JMIR Medical Education. 10. e48393–e48393. 3 indexed citations
3.
Ureña, Raquel, Sabine Camiade, Martine Piarroux, et al.. (2023). Leveraging Bacterial Ecology Data with Machine Learning Algorithms for Precise Prediction of Antimicrobial Resistance in Hospitalized Patients. SSRN Electronic Journal. 1 indexed citations
4.
Leroy, Tanguy, et al.. (2021). Willingness of French General Practitioners to Prescribe mHealth Apps and Devices: Quantitative Study. JMIR mhealth and uhealth. 10(2). e28372–e28372. 19 indexed citations
5.
Dufour, Jean-Charles, Julien Grosjean, Stéfan Darmoni, et al.. (2019). ApiAppS: A Project to Study and Help Practitioners in Recommending mHealth Apps and Devices to Their Patients. Studies in health technology and informatics. 264. 1919–1920. 8 indexed citations
6.
Bilen, Melhem, Jean-Charles Dufour, Jean‐Christophe Lagier, et al.. (2018). The contribution of culturomics to the repertoire of isolated human bacterial and archaeal species. Microbiome. 6(1). 94–94. 136 indexed citations
7.
Ouédraogo, Boukary, Kankoé Sallah, Toussaint Rouamba, et al.. (2018). Spatio-temporal dynamic of malaria in Ouagadougou, Burkina Faso, 2011–2015. Malaria Journal. 17(1). 138–138. 38 indexed citations
8.
Brouqui, Philippe, et al.. (2017). New Approaches to Prevent Healthcare-Associated Infection. Clinical Infectious Diseases. 65(suppl_1). S50–S54. 24 indexed citations
9.
Borentain, Patrick, Noémie Resseguier, Danielle Botta‐Fridlund, et al.. (2016). The presence of spontaneous portosystemic shunts increases the risk of complications after transjugular intrahepatic portosystemic shunt (TIPS) placement. Diagnostic and Interventional Imaging. 97(6). 643–650. 22 indexed citations
10.
Giorgi, Roch, et al.. (2016). Smartphone text message service to foster hand hygiene compliance in health care workers. American Journal of Infection Control. 45(3). 234–239. 15 indexed citations
11.
Cuggia, Marc, et al.. (2015). Automatic Selection of Clinical Trials Based on A Semantic Web Approach.. PubMed. 216. 564–8. 10 indexed citations
12.
13.
Weeks, William B., et al.. (2014). Geographic Variation in Admissions for Knee Replacement, Hip Replacement, and Hip Fracture in France. Medical Care. 52(10). 909–917. 12 indexed citations
14.
Dufour, Jean-Charles, et al.. (2013). MediHandTrace®: a tool for measuring and understanding hand hygiene adherence. Clinical Microbiology and Infection. 20(1). 22–28. 34 indexed citations
15.
Avillach, Paul, Jean-Charles Dufour, Gayo Diallo, et al.. (2012). Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU–ADR project. Journal of the American Medical Informatics Association. 20(3). 446–452. 50 indexed citations
16.
Avillach, Paul, Preciosa M. Coloma, Rosa Gini, et al.. (2012). Harmonization process for the identification of medical events in eight European healthcare databases: the experience from the EU-ADR project. Journal of the American Medical Informatics Association. 20(1). 184–192. 63 indexed citations
17.
Dufour, Jean-Charles, et al.. (2009). Recherche de données factuelles. Journal de Chirurgie. 146(4). 355–367. 3 indexed citations
18.
Dufour, Jean-Charles, et al.. (2007). An integrated approach to distance learning with digital video in the French-speaking Virtual Medical University. International Journal of Medical Informatics. 76(5-6). 369–376. 9 indexed citations
19.
Joubert, Michel, et al.. (2004). Towards interoperability of heterogeneous health databases: application to a tumor samples bank. Studies in health technology and informatics. 107(Pt 2). 1251–5. 1 indexed citations
20.
Dufour, Jean-Charles, et al.. (2004). Coupling computer-interpretable guidelines with a drug-database through a web-based system – The PRESGUID project. BMC Medical Informatics and Decision Making. 4(1). 2–2. 10 indexed citations

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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