Laetitia Malphettes

705 total citations
24 papers, 547 citations indexed

About

Laetitia Malphettes is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Laetitia Malphettes has authored 24 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Biomedical Engineering and 5 papers in Genetics. Recurrent topics in Laetitia Malphettes's work include Viral Infectious Diseases and Gene Expression in Insects (16 papers), Protein purification and stability (10 papers) and CRISPR and Genetic Engineering (6 papers). Laetitia Malphettes is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (16 papers), Protein purification and stability (10 papers) and CRISPR and Genetic Engineering (6 papers). Laetitia Malphettes collaborates with scholars based in Belgium, Switzerland and Denmark. Laetitia Malphettes's co-authors include Mikael Rørdam Andersen, Martin Fussenegger, Elmar Heinzle, Thu Annelise Nguyen, Peiqi Liu, Jeffrey C. Miller, Jennifer Y. Chang, Zhe Zhou, Trevor N. Collingwood and Andrew Snowden and has published in prestigious journals such as Nucleic Acids Research, Applied Microbiology and Biotechnology and Biotechnology and Bioengineering.

In The Last Decade

Laetitia Malphettes

24 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laetitia Malphettes Belgium 13 514 103 94 68 55 24 547
Yih Yean Lee Singapore 13 726 1.4× 153 1.5× 169 1.8× 78 1.1× 80 1.5× 23 783
Katie F. Wlaschin United States 9 708 1.4× 156 1.5× 223 2.4× 59 0.9× 89 1.6× 10 750
Jong Kwang Hong South Korea 11 302 0.6× 79 0.8× 48 0.5× 40 0.6× 38 0.7× 19 337
George Dutina United States 6 329 0.6× 109 1.1× 60 0.6× 72 1.1× 42 0.8× 7 384
P. M. Hayter United Kingdom 6 327 0.6× 77 0.7× 66 0.7× 42 0.6× 37 0.7× 6 397
Martin Gawlitzek France 11 728 1.4× 297 2.9× 95 1.0× 71 1.0× 96 1.7× 18 791
Ray Field United Kingdom 15 615 1.2× 175 1.7× 202 2.1× 59 0.9× 71 1.3× 25 701
Dethardt Müller Austria 10 396 0.8× 127 1.2× 86 0.9× 53 0.8× 36 0.7× 16 476
Danny Wong Singapore 7 473 0.9× 149 1.4× 97 1.0× 35 0.5× 62 1.1× 9 497
Joon Chong Yee United States 9 451 0.9× 110 1.1× 143 1.5× 17 0.3× 51 0.9× 9 469

Countries citing papers authored by Laetitia Malphettes

Since Specialization
Citations

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

Fields of papers citing papers by Laetitia Malphettes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laetitia Malphettes

This figure shows the co-authorship network connecting the top 25 collaborators of Laetitia Malphettes. A scholar is included among the top collaborators of Laetitia Malphettes 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 Laetitia Malphettes. Laetitia Malphettes 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.
Malphettes, Laetitia, et al.. (2021). Predictive macroscopic modeling of cell growth, metabolism and monoclonal antibody production: Case study of a CHO fed-batch production. Metabolic Engineering. 66. 204–216. 14 indexed citations
2.
Andersen, Mikael Rørdam, et al.. (2020). Use of novel cystine analogs to decrease oxidative stress and control product quality. Journal of Biotechnology. 327. 1–8. 11 indexed citations
3.
Malphettes, Laetitia, et al.. (2019). Application of a genome-scale model in tandem with enzyme assays for identification of metabolic signatures of high and low CHO cell producers. Metabolic Engineering Communications. 9. e00097–e00097. 11 indexed citations
4.
Malphettes, Laetitia, et al.. (2018). Application of a curated genome-scale metabolic model of CHO DG44 to an industrial fed-batch process. Metabolic Engineering. 51. 9–19. 46 indexed citations
5.
Malphettes, Laetitia, et al.. (2015). Overcoming the clarification challenges of high cell density culture. BMC Proceedings. 9(S9). 5 indexed citations
6.
Malphettes, Laetitia, et al.. (2015). Macroscopic modeling of mammalian cell growth and metabolism. Applied Microbiology and Biotechnology. 99(17). 7009–7024. 51 indexed citations
7.
8.
Malphettes, Laetitia, et al.. (2013). Scale-up considerations for monoclonal antibody production process: an oxygen transfer flux approach. BMC Proceedings. 7(S6). 1 indexed citations
9.
Malphettes, Laetitia, et al.. (2013). Evaluation of the advanced micro-scale bioreactor (ambr™) as a highthroughput tool for cell culture process development. BMC Proceedings. 7(S6). 13 indexed citations
10.
Malphettes, Laetitia, et al.. (2013). Technology transfer and scale down model development strategy for biotherapeutics produced in mammalian cells. BMC Proceedings. 7(S6). 1 indexed citations
11.
Malphettes, Laetitia, et al.. (2011). Development and fine-tuning of a scale down model for process characterization studies of a monoclonal antibody upstream production process. BMC Proceedings. 5(S8). P70–P70. 8 indexed citations
12.
Malphettes, Laetitia, et al.. (2011). Medium and feed optimization for fed-batch production of a monoclonal antibody in CHO cells. BMC Proceedings. 5(S8). P75–P75. 6 indexed citations
13.
Malphettes, Laetitia, Jennifer Y. Chang, Peiqi Liu, et al.. (2010). Highly efficient deletion of FUT8 in CHO cell lines using zinc‐finger nucleases yields cells that produce completely nonfucosylated antibodies. Biotechnology and Bioengineering. 106(5). 774–783. 124 indexed citations
14.
Malphettes, Laetitia & Martin Fussenegger. (2006). Improved transgene expression fine-tuning in mammalian cells using a novel transcription–translation network. Journal of Biotechnology. 124(4). 732–746. 17 indexed citations
15.
Malphettes, Laetitia, Ronald G. Schoenmakers, & Martin Fussenegger. (2006). 6-hydroxy-nicotine-inducible multilevel transgene control in mammalian cells. Metabolic Engineering. 8(6). 543–553. 11 indexed citations
16.
Malphettes, Laetitia & Martin Fussenegger. (2006). Impact of RNA interference on gene networks. Metabolic Engineering. 8(6). 672–683. 29 indexed citations
17.
Malphettes, Laetitia. (2005). A novel mammalian expression system derived from components coordinating nicotine degradation in arthrobacter nicotinovorans pAO1. Nucleic Acids Research. 33(12). e107–e107. 31 indexed citations
18.
Weber, Wilfried, Laetitia Malphettes, Matthias Rinderknecht, et al.. (2005). Quorum-Sensing-Based Toolbox for Regulatable Transgene and siRNA Expression in Mammalian Cells. Biotechnology Progress. 21(1). 178–185. 7 indexed citations
19.
Malphettes, Laetitia & Martin Fussenegger. (2004). Macrolide‐ and tetracycline‐adjustable siRNA‐mediated gene silencing in mammalian cells using polymerase II‐dependent promoter derivatives. Biotechnology and Bioengineering. 88(4). 417–425. 22 indexed citations
20.
Weber, Wilfried, Laetitia Malphettes, María De Jesús, et al.. (2004). Engineered Streptomyces quorum‐sensing components enable inducible siRNA‐mediated translation control in mammalian cells and adjustable transcription control in mice. The Journal of Gene Medicine. 7(4). 518–525. 22 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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