Frédéric Kerff
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- Antibiotic Resistance in Bacteria 27
- Co-authors
- P. Charlier (26 shared papers)Eric Sauvage (23 shared papers)Mohammed Terrak (7 shared papers)Juan Alfonso Ayala (2 shared papers)Roberto Domínguez (5 shared papers)Knut Langsetmo (2 shared papers)Raphaël Herman (19 shared papers)Terence Tao (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (10 papers)Biochemistry (5 papers)Journal of Antimicrobial Chemotherapy (5 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Frédéric Kerff
68 papers receiving 3.2k citations
Frédéric Kerff's Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Medicine 868
- Endocrinology 195
- Pharmacology 408
- Cell Biology 409
- Molecular Biology 1.6k
Countries citing papers authored by Frédéric Kerff
This map shows the geographic impact of Frédéric Kerff'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 Frédéric Kerff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Kerff more than expected).
Fields of papers citing papers by Frédéric Kerff
This network shows the impact of papers produced by Frédéric Kerff. 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 Frédéric Kerff. The network helps show where Frédéric Kerff may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Kerff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The penicillin-binding proteins: structure and role in peptidoglycan biosynthesis Hit paper breakdown → | 2008 | 1057 |
| 2 | 2004 | 321 | |
| 3 | 2005 | 221 | |
| 4 | 2008 | 184 | |
| 5 | 2007 | 135 | |
| 6 | 2002 | 88 | |
| 7 | 2014 | 60 | |
| 8 | 2013 | 57 | |
| 9 | 2006 | 51 | |
| 10 | 2007 | 50 | |
| 11 | 2003 | 49 | |
| 12 | 2008 | 48 | |
| 13 | 2009 | 45 | |
| 14 | 2009 | 45 | |
| 15 | 2011 | 44 | |
| 16 | 2016 | 43 | |
| 17 | 2010 | 42 | |
| 18 | 2010 | 39 | |
| 19 | 2015 | 34 | |
| 20 | 2010 | 32 |
About Frédéric Kerff
Frédéric Kerff is a scholar working on Molecular Medicine, Endocrinology, Genetics, Molecular Biology and Pharmacology, having authored 69 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (27 papers), Bacterial Genetics and Biotechnology (15 papers), RNA and protein synthesis mechanisms (9 papers), Enzyme Structure and Function (8 papers), Bacteriophages and microbial interactions (7 papers), Genomics and Phylogenetic Studies (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Molecular Medicine (868 citations), Endocrinology (195 citations), Pharmacology (408 citations), Cell Biology (409 citations) and Molecular Biology (1.6k citations). Frédéric Kerff has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include P. Charlier, Eric Sauvage, Mohammed Terrak, Juan Alfonso Ayala, Roberto Domínguez, Knut Langsetmo, Raphaël Herman, Terence Tao, David Chéreau and Jean‐Marie Frère. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Biochemistry, Journal of Antimicrobial Chemotherapy, Scientific Reports and PLoS ONE.
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.