Franck Le Duff
- Hepatology top 0.5%
- Epidemiology top 2%
- Infectious Diseases top 5%
- Molecular Biology
- Psychiatry and Mental health top 10%
- Co-authors
- Francesca J. TorrianiSharon PasseDouglas T. DieterichM. Rodríguez‐TorresChristine KatlamaGiampiero CarosiHoel SetteEduardo Lissen
- Topics
- Semantic Web and Ontologies (15 papers)Biomedical Text Mining and Ontologies (13 papers)Hepatitis C virus research (8 papers)
- Cited by
- HepatologyEpidemiologyVirology
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Franck Le Duff
60 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Hepatology 1.2k
- Epidemiology 1.1k
- Infectious Diseases 518
- Molecular Biology 304
- Psychiatry and Mental health 168
Countries citing papers authored by Franck Le Duff
This map shows the geographic impact of Franck Le Duff'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 Franck Le Duff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Le Duff more than expected).
Fields of papers citing papers by Franck Le Duff
This network shows the impact of papers produced by Franck Le Duff. 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 Franck Le Duff. The network helps show where Franck Le Duff may publish in the future.
Co-authorship network of co-authors of Franck Le Duff
This figure shows the co-authorship network connecting the top 25 collaborators of Franck Le Duff. A scholar is included among the top collaborators of Franck Le Duff 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 Franck Le Duff. Franck Le Duff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 4 | |
| 3 | 16 | |
| 4 | 8 | |
| 5 | 38 | |
| 6 | 66 | |
| 7 | 128 | |
| 8 | 56 | |
| 9 | 69 | |
| 10 | 9 | |
| 11 | 104 | |
| 12 | 53 | |
| 13 | 13 | |
| 14 | 11 | |
| 15 | 18 | |
| 16 | Web impact factor: a bibliometric criterion applied to medical informatics societies' web sites. | 10 |
| 17 | 12 | |
| 18 | Automatic management of uniform resources locators for medical training | 1 |
| 19 | 5 | |
| 20 | 14 |
About Franck Le Duff
Franck Le Duff is a scholar working on Hepatology, Computer Science Applications and Health Information Management, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (15 papers), Biomedical Text Mining and Ontologies (13 papers) and Hepatitis C virus research (8 papers). The work is most often cited by research in Hepatology (1.2k citations), Epidemiology (1.1k citations) and Virology (146 citations). Franck Le Duff has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Francesca J. Torriani, Sharon Passe, Douglas T. Dieterich, M. Rodríguez‐Torres, Christine Katlama, Giampiero Carosi, Hoel Sette, Eduardo Lissen, Joseph Sasadeusz and Adriano Lazzarin. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Hepatology.
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.