Fayza Daboussi

2.3k total citations
34 papers, 1.6k citations indexed

About

Fayza Daboussi is a scholar working on Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Fayza Daboussi has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 4 papers in Plant Science and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Fayza Daboussi's work include CRISPR and Genetic Engineering (16 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and DNA Repair Mechanisms (7 papers). Fayza Daboussi is often cited by papers focused on CRISPR and Genetic Engineering (16 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and DNA Repair Mechanisms (7 papers). Fayza Daboussi collaborates with scholars based in France, Spain and Italy. Fayza Daboussi's co-authors include Philippe Duchâteau, Gwendoline Dubois, Alexandre Juillerat, Alan Maréchal, Bernard S. López, Julien Valton, Séverine Thomas, Valérie Guyot, Weichao Huang and Sophie Leduc and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Fayza Daboussi

34 papers receiving 1.6k citations

Peers

Fayza Daboussi

RESE

GENET

BIOMA

Hongseok Tae United States

Gwendoline Dubois France

Alan Maréchal Switzerland

Jiayi Cao China

Valérie Guyot France

Maitrayee Bhattacharyya‐Pakrasi United States

Ning Shao China

Guoqiang Zhang China

Asael Herman Israel

Stefan Becker Germany

Hongseok Tae United States

Fayza Daboussi

568 ×0.4

361 ×0.9

RESE

121 ×0.6

GENET

65 ×0.4

32 ×0.2

BIOMA

Citations per year, relative to Fayza Daboussi Fayza Daboussi (= 1×) peers Hongseok Tae

Countries citing papers authored by Fayza Daboussi

Since Specialization

Citations

This map shows the geographic impact of Fayza Daboussi'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 Fayza Daboussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fayza Daboussi more than expected).

Fields of papers citing papers by Fayza Daboussi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fayza Daboussi. 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 Fayza Daboussi. The network helps show where Fayza Daboussi may publish in the future.

Co-authorship network of co-authors of Fayza Daboussi

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

All Works

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20 of 20 papers shown

Monteil, R, Denis Jallet, Fayza Daboussi, et al.. (2025). Circadian regulation of key physiological processes by the RITMO1 clock protein in the marine diatom Phaeodactylum tricornutum. New Phytologist. 246(4). 1724–1739. 2 indexed citations

Griol, David, et al.. (2024). Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations. Computers & Chemical Engineering. 187. 108736–108736. 4 indexed citations

Metcalfe, Brett, Γεώργιος Γεωργακίλας, Theodore Dalamagas, et al.. (2024). Towards a machine learning operations (MLOps) soft sensor for real-time predictions in industrial-scale fed-batch fermentation. Computers & Chemical Engineering. 194. 108991–108991. 5 indexed citations

Jallet, Denis, Fayza Daboussi, Bertrand Légeret, et al.. (2023). Acyl-CoA binding protein is required for lipid droplet degradation in the diatom Phaeodactylum tricornutum. PLANT PHYSIOLOGY. 194(2). 958–981. 12 indexed citations

Renaud, Stéphanie, Audrey Dussutour, Fayza Daboussi, & Denis Pompon. (2023). Characterization of chitinases from the GH18 gene family in the myxomycete Physarum polycephalum. Biochimica et Biophysica Acta (BBA) - General Subjects. 1867(6). 130343–130343. 7 indexed citations

Daboussi, Fayza & N.D. Lindley. (2022). Challenges to Ensure a Better Translation of Metabolic Engineering for Industrial Applications. Methods in molecular biology. 2553. 1–20. 3 indexed citations

Kroth, Peter G., Atle M. Bones, Fayza Daboussi, et al.. (2018). Genome editing in diatoms: achievements and goals. Plant Cell Reports. 37(10). 1401–1408. 43 indexed citations

Borsenberger, Vinciane, Djamila Onésime, Coraline Rigouin, et al.. (2018). Multiple Parameters Drive the Efficiency of CRISPR/Cas9-Induced Gene Modifications in Yarrowia lipolytica. Journal of Molecular Biology. 430(21). 4293–4306. 17 indexed citations

Huang, Weichao & Fayza Daboussi. (2017). Genetic and metabolic engineering in diatoms. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1728). 20160411–20160411. 66 indexed citations

10.

Juillerat, Alexandre, Gwendoline Dubois, Julien Valton, et al.. (2014). Comprehensive analysis of the specificity of transcription activator-like effector nucleases. Nucleic Acids Research. 42(8). 5390–5402. 75 indexed citations

11.

Juillerat, Alexandre, Marine Beurdeley, Julien Valton, et al.. (2014). Exploring the transcription activator-like effectors scaffold versatility to expand the toolbox of designer nucleases. BMC Molecular Biology. 15(1). 13–13. 3 indexed citations

12.

Valton, Julien, Jean‐Pierre Cabaniols, Román Galetto, et al.. (2014). Efficient strategies for TALEN-mediated genome editing in mammalian cell lines. Methods. 69(2). 151–170. 13 indexed citations

13.

Stella, Stefano, Rafael Molina, Blanca López‐Méndez, et al.. (2014). BuD, a helix–loop–helix DNA-binding domain for genome modification. Acta Crystallographica Section D Biological Crystallography. 70(7). 2042–2052. 18 indexed citations

14.

Daboussi, Fayza, Sophie Leduc, Alan Maréchal, et al.. (2014). Genome engineering empowers the diatom Phaeodactylum tricornutum for biotechnology. Nature Communications. 5(1). 3831–3831. 323 indexed citations

15.

Delacôte, Fabien, Christophe Perez, Valérie Guyot, et al.. (2013). High Frequency Targeted Mutagenesis Using Engineered Endonucleases and DNA-End Processing Enzymes. PLoS ONE. 8(1). e53217–e53217. 23 indexed citations

16.

Valton, Julien, Aurélie Dupuy, Fayza Daboussi, et al.. (2012). Overcoming Transcription Activator-like Effector (TALE) DNA Binding Domain Sensitivity to Cytosine Methylation. Journal of Biological Chemistry. 287(46). 38427–38432. 152 indexed citations

17.

Despras, Emmanuelle, Fayza Daboussi, Olivier Hyrien, Kathrin Marheineke, & Patricia Kannouche. (2010). ATR/Chk1 pathway is essential for resumption of DNA synthesis and cell survival in UV-irradiated XP variant cells. Human Molecular Genetics. 19(9). 1690–1701. 60 indexed citations

18.

Redondo, Pilar Negrete, Jesús Prìeto, Inés G. Muñoz, et al.. (2008). Molecular basis of xeroderma pigmentosum group C DNA recognition by engineered meganucleases. Nature. 456(7218). 107–111. 129 indexed citations

19.

Daboussi, Fayza, John Thacker, & Bernard S. López. (2005). Genetic interactions between RAD51 and its paralogues for centrosome fragmentation and ploidy control, independently of the sensitivity to genotoxic stresses. Oncogene. 24(22). 3691–3696. 30 indexed citations

20.

Daboussi, Fayza, Anne Dumay, Fabien Delacôte, & Bernard S. López. (2002). DNA double-strand break repair signalling: The case of RAD51 post-translational regulation. Cellular Signalling. 14(12). 969–975. 86 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.

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