Franck Danel
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
-
- Antibiotic Resistance in Bacteria 12
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- Bacterial biofilms and quorum sensing 4
- Co-authors
- David M. Livermore (7 shared papers)Deniz Gür (5 shared papers)Lucinda M. C. Hall (4 shared papers)Malcolm G. P. Page (8 shared papers)N.C.J. Strynadka (3 shared papers)Liza de Castro (2 shared papers)Mark Paetzel (2 shared papers)Heidi A. Lane (2 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (4 papers)Journal of Antimicrobial Chemotherapy (3 papers)Journal of Molecular Biology (2 papers)Journal of Biological Chemistry (1 paper)Journal of Computer-Aided Molecular Design (1 paper)
- Partner nations
- SwitzerlandUnited KingdomCanada
In The Last Decade
Franck Danel
17 papers receiving 992 citations
Peers
Comparison fields: 5 of 64
- Molecular Medicine 591
- Applied Microbiology and Biotechnology 75
- Endocrinology 189
- Pharmacology 265
- Pollution 108
Countries citing papers authored by Franck Danel
This map shows the geographic impact of Franck Danel'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 Danel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Danel more than expected).
Fields of papers citing papers by Franck Danel
This network shows the impact of papers produced by Franck Danel. 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 Danel. The network helps show where Franck Danel may publish in the future.
Co-authors
The 25 scholars most cited alongside Franck Danel, 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 | 2014 | 240 | |
| 2 | 2000 | 134 | |
| 3 | 2012 | 92 | |
| 4 | 1999 | 77 | |
| 5 | 1995 | 76 | |
| 6 | 1997 | 71 | |
| 7 | 1995 | 68 | |
| 8 | 1998 | 59 | |
| 9 | 1999 | 51 | |
| 10 | 2006 | 38 | |
| 11 | 1999 | 31 | |
| 12 | 2001 | 31 | |
| 13 | 2001 | 23 | |
| 14 | 2011 | 14 | |
| 15 | 1998 | 10 | |
| 16 | 2010 | 4 | |
| 17 | 2011 | 1 |
About Franck Danel
Franck Danel is a scholar working on Molecular Medicine, Molecular Biology, Pharmacology, Pollution and Plant Science, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Bacterial biofilms and quorum sensing (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Vibrio bacteria research studies (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Molecular Medicine (591 citations), Applied Microbiology and Biotechnology (75 citations), Endocrinology (189 citations), Pharmacology (265 citations) and Pollution (108 citations). Franck Danel has collaborated with scholars based in Switzerland, United Kingdom and Canada. Frequent co-authors include David M. Livermore, Deniz Gür, Lucinda M. C. Hall, Malcolm G. P. Page, N.C.J. Strynadka, Liza de Castro, Mark Paetzel, Heidi A. Lane, Rubén M. Buey and Michel O. Steinmetz. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Journal of Molecular Biology, Journal of Biological Chemistry and Journal of Computer-Aided Molecular Design.
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.