Frédéric Cadet
Impact in
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
- Biochemistry top 10%
Papers in
-
- Protein Structure and Dynamics 13
- Microbial Metabolic Engineering and Bioproduction 9
- Photosynthetic Processes and Mechanisms 8
- Glycosylation and Glycoproteins Research 7
- Machine Learning in Bioinformatics 6
-
- Spectroscopy and Chemometric Analyses 18
- Co-authors
- Bernard Offmann (21 shared papers)Jean‐Claude Meunier (5 shared papers)Claude Rouch (10 shared papers)Alexandre G. de Brevern (10 shared papers)Narayanaswamy Srinivasan (6 shared papers)M. Pabion (8 shared papers)Matthieu Ng Fuk Chong (4 shared papers)Rudy Pandjaitan (3 shared papers)
In The Last Decade
Frédéric Cadet
79 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Analytical Chemistry 173
- Biochemistry 76
- Biophysics 69
- Molecular Biology 729
- Biotechnology 74
Countries citing papers authored by Frédéric Cadet
This map shows the geographic impact of Frédéric Cadet'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 Cadet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Cadet more than expected).
Fields of papers citing papers by Frédéric Cadet
This network shows the impact of papers produced by Frédéric Cadet. 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 Cadet. The network helps show where Frédéric Cadet may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Cadet, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2010 | 106 | |
| 3 | 1991 | 50 | |
| 4 | 2006 | 46 | |
| 5 | 1995 | 45 | |
| 6 | 1997 | 45 | |
| 7 | 1997 | 42 | |
| 8 | 2022 | 40 | |
| 9 | 2008 | 37 | |
| 10 | 1987 | 35 | |
| 11 | 1997 | 33 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2019 | 27 | |
| 15 | 1988 | 27 | |
| 16 | 2020 | 24 | |
| 17 | 1988 | 24 | |
| 18 | 1996 | 24 | |
| 19 | 2019 | 22 | |
| 20 | 1998 | 22 |
About Frédéric Cadet
Frédéric Cadet is a scholar working on Molecular Biology, Analytical Chemistry, Plant Science, Biophysics and Biomedical Engineering, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (18 papers), Protein Structure and Dynamics (13 papers), Spectroscopy Techniques in Biomedical and Chemical Research (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Photosynthetic Processes and Mechanisms (8 papers), Glycosylation and Glycoproteins Research (7 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Analytical Chemistry (173 citations), Biochemistry (76 citations), Biophysics (69 citations), Molecular Biology (729 citations) and Biotechnology (74 citations). Frédéric Cadet has collaborated with scholars based in Réunion, France and India. Frequent co-authors include Bernard Offmann, Jean‐Claude Meunier, Claude Rouch, Alexandre G. de Brevern, Narayanaswamy Srinivasan, M. Pabion, Matthieu Ng Fuk Chong, Rudy Pandjaitan, Manoj Tyagi and Ramanathan Sowdhamini. Their work appears in journals such as Applied Spectroscopy, International Journal of Molecular Sciences, Biochemical Journal, Biochimie and Journal of Agricultural and Food Chemistry.
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.