Frédéric Cadet

1.6k total citations
79 papers, 1.2k citations indexed

About

Frédéric Cadet is a scholar working on Molecular Biology, Analytical Chemistry and Plant Science. According to data from OpenAlex, Frédéric Cadet has authored 79 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 18 papers in Analytical Chemistry and 16 papers in Plant Science. Recurrent topics in Frédéric Cadet's work include Spectroscopy and Chemometric Analyses (18 papers), Protein Structure and Dynamics (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (10 papers). Frédéric Cadet is often cited by papers focused on Spectroscopy and Chemometric Analyses (18 papers), Protein Structure and Dynamics (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (10 papers). Frédéric Cadet collaborates with scholars based in Réunion, France and India. Frédéric Cadet's co-authors include Bernard Offmann, Claude Rouch, Jean‐Claude Meunier, Alexandre G. de Brevern, Narayanaswamy Srinivasan, M. Pabion, Matthieu Ng Fuk Chong, Rudy Pandjaitan, Manoj Tyagi and Ramanathan Sowdhamini and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Frédéric Cadet

76 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frédéric Cadet Réunion 21 715 185 166 137 114 79 1.2k
Ting He China 19 686 1.0× 281 1.5× 95 0.6× 64 0.5× 333 2.9× 73 1.3k
Jianxun Li China 22 499 0.7× 148 0.8× 140 0.8× 50 0.4× 146 1.3× 60 1.5k
Bernard Offmann France 22 949 1.3× 308 1.7× 58 0.3× 278 2.0× 185 1.6× 60 1.5k
Amin Karmali Portugal 18 418 0.6× 237 1.3× 39 0.2× 91 0.7× 113 1.0× 69 826
Wai-Leng Lee Malaysia 20 587 0.8× 110 0.6× 69 0.4× 31 0.2× 84 0.7× 40 1.1k
Yueying Li China 22 491 0.7× 501 2.7× 30 0.2× 112 0.8× 136 1.2× 97 1.5k
Juan Dong China 22 475 0.7× 109 0.6× 63 0.4× 53 0.4× 123 1.1× 79 1.3k
Makoto Kuramoto Japan 23 346 0.5× 227 1.2× 248 1.5× 76 0.6× 137 1.2× 79 1.6k
Christopher J. Smith United Kingdom 28 1.4k 2.0× 1.2k 6.3× 115 0.7× 115 0.8× 212 1.9× 76 2.6k
Hans Bisswanger Germany 22 1.0k 1.4× 148 0.8× 20 0.1× 237 1.7× 212 1.9× 59 1.8k

Countries citing papers authored by Frédéric Cadet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Frédéric Cadet

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Cadet. A scholar is included among the top collaborators of Frédéric Cadet 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 Frédéric Cadet. Frédéric Cadet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Navarrete, Marcelo A., et al.. (2024). Peptipedia v2.0: a peptide sequence database and user-friendly web platform. A major update. Database. 2024. 6 indexed citations
2.
Rebehmed, Joseph, et al.. (2023). Quality assessment of V H H models. Journal of Biomolecular Structure and Dynamics. 41(22). 13287–13301. 4 indexed citations
3.
Shinada, Nicolas K., et al.. (2022). VHH Structural Modelling Approaches: A Critical Review. International Journal of Molecular Sciences. 23(7). 3721–3721. 13 indexed citations
4.
Cadet, Frédéric, et al.. (2021). Insights into Comparative Modeling of VHH Domains. International Journal of Molecular Sciences. 22(18). 9771–9771. 6 indexed citations
5.
Li, Guangyue, Matthieu Ng Fuk Chong, Miguel A. Maria‐Solano, et al.. (2020). Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation. ChemBioChem. 22(5). 904–914. 29 indexed citations
6.
Wiltschi, Birgit, et al.. (2020). A Machine Learning Approach for Efficient Selection of Enzyme Concentrations and Its Application for Flux Optimization. Catalysts. 10(3). 291–291. 14 indexed citations
7.
Ostuni, Mariano A., et al.. (2020). Versatile Dimerisation Process of Translocator Protein (TSPO) Revealed by an Extensive Sampling Based on a Coarse-Grained Dynamics Study. Journal of Chemical Information and Modeling. 60(8). 3944–3957. 7 indexed citations
8.
Brevern, Alexandre G. de, et al.. (2019). Structural variations within proteins can be as large as variations observed across their homologues. Biochimie. 167. 162–170. 5 indexed citations
9.
Cadet, Frédéric, Guangyue Li, Joaquı́n Sanchis, et al.. (2018). A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes. Scientific Reports. 8(1). 16757–16757. 102 indexed citations
10.
Mahajan, Swapnil, Manoj Tyagi, Yves‐Henri Sanejouand, et al.. (2017). Knowledge-based prediction of protein backbone conformation using a structural alphabet. PLoS ONE. 12(11). e0186215–e0186215. 14 indexed citations
11.
Grondin-Pérez, Brigitte, et al.. (2015). Modeling of a Cell-Free Synthetic System for Biohydrogen Production. Journal of Computer Science & Systems Biology. 8(3). 3 indexed citations
12.
Thangudu, Ratna R., et al.. (2008). Analysis on conservation of disulphide bonds and their structural features in homologous protein domain families. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 1 indexed citations
13.
Ramasami, Ponnadurai, et al.. (2005). Quantification of alcohol in beverages by density and infrared spectroscopy methods. International Journal of Food Sciences and Nutrition. 56(3). 177–183. 4 indexed citations
14.
Ramasami, Ponnadurai, et al.. (2004). Quantification of Sugars in Soft Drinks and Fruit Juices by Density, Refractometry, Infrared Spectroscopy and Statistical Methods. South African Journal of Chemistry. 57(1). 24–27. 19 indexed citations
15.
Besnard, Guillaume, et al.. (2002). Assessment of the C4 phosphoenolpyruvate carboxylase gene diversity in grasses (Poaceae). Theoretical and Applied Genetics. 105(2). 404–412. 8 indexed citations
16.
Besnard, Guillaume, et al.. (2001). Phosphoenolpyruvate Carboxylase cDNA phylogeny to investigate the C4 photosynthetic pathway evolution in grasses. Science Access. 3(1). 1 indexed citations
17.
Cadet, Frédéric. (1999). Measurement of sugar content by multidimensional analysis and mid-infrared spectroscopy. Talanta. 48(4). 867–875. 21 indexed citations
18.
Césari, Maya, et al.. (1999). Purification and characterization of a multienzymatic complex in sugarcane, a C4 plant. Comptes Rendus de l Académie des Sciences - Series III - Sciences de la Vie. 322(1). 29–34. 4 indexed citations
19.
20.
Cadet, Frédéric, et al.. (1995). Enzyme kinetics by mid-infrared spectroscopy: β-fructosidase study by a one-step assay. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1246(2). 142–150. 20 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ting He Breakdown of academic impact, for papers by Jianxun Li Breakdown of academic impact, for papers by Bernard Offmann Breakdown of academic impact, for papers by Amin Karmali Breakdown of academic impact, for papers by Wai-Leng Lee Breakdown of academic impact, for papers by Yueying Li Breakdown of academic impact, for papers by Juan Dong Breakdown of academic impact, for papers by Makoto Kuramoto Breakdown of academic impact, for papers by Christopher J. Smith Breakdown of academic impact, for papers by Hans Bisswanger
Rankless by CCL
2026