Franck Danel
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
-
- Computational Drug Discovery Methods
Papers in
-
- Antibiotic Resistance in Bacteria 12
-
- Computational Drug Discovery Methods 2
- Co-authors
- David M. Livermore (9 shared papers)Deniz Gür (5 shared papers)Lucinda M. C. Hall (4 shared papers)Malcolm G. P. Page (7 shared papers)Natalie C. J. Strynadka (3 shared papers)Liza de Castro (2 shared papers)Mark Paetzel (2 shared papers)Jens Pohlmann (2 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (4 papers)Journal of Antimicrobial Chemotherapy (4 papers)Journal of Biological Chemistry (1 paper)Journal of Medicinal Chemistry (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United KingdomSwitzerlandTürkiye
In The Last Decade
Franck Danel
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 55
- Molecular Medicine 636
- Computational Theory and Mathematics 218
- Organic Chemistry 224
- Cell Biology 78
- Applied Microbiology and Biotechnology 9
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 | 262 | |
| 2 | 2001 | 208 | |
| 3 | 2000 | 144 | |
| 4 | 2012 | 98 | |
| 5 | 1995 | 84 | |
| 6 | 1999 | 80 | |
| 7 | 1997 | 78 | |
| 8 | 1995 | 70 | |
| 9 | 1998 | 63 | |
| 10 | 2006 | 42 | |
| 11 | 2001 | 34 | |
| 12 | 1999 | 32 | |
| 13 | 1995 | 28 | |
| 14 | 2001 | 26 | |
| 15 | 2011 | 16 | |
| 16 | 1998 | 10 | |
| 17 | 2010 | 5 | |
| 18 | 2014 | 0 |
About Franck Danel
Franck Danel is a scholar working on Molecular Medicine, Computational Theory and Mathematics, Infectious Diseases, Cell Biology and Organic Chemistry, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Computational Drug Discovery Methods (2 papers), RNA and protein synthesis mechanisms (1 paper), Microtubule and mitosis dynamics (1 paper) and Synthesis of β-Lactam Compounds (1 paper). The work is most often cited by research in Molecular Medicine (636 citations), Computational Theory and Mathematics (218 citations), Organic Chemistry (224 citations), Cell Biology (78 citations) and Applied Microbiology and Biotechnology (9 citations). Franck Danel has collaborated with scholars based in United Kingdom, Switzerland and Türkiye. Frequent co-authors include David M. Livermore, Deniz Gür, Lucinda M. C. Hall, Malcolm G. P. Page, Natalie C. J. Strynadka, Liza de Castro, Mark Paetzel, Jens Pohlmann, Andrea Enrico Prota and Felix Bachmann. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Journal of Biological Chemistry, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.
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.