Marco J. L. de Groot

Author

Delft University of Technology

Also Known As

MARCO J. L. DE GROOT, Marco J. L. de Groot, Marco J.L. De Groot, Marco JL de Groot, de Groot, Marco J. L.

Publications

641

Citations

H-Index

Concepts

All Affiliations

Delft University of Technology Cancer Genomics Centre Wageningen University & Research Utrecht University Netherlands Metabolomics Centre

About

Marco J. L. de Groot is an author at Delft University of Technology specializing in medicine, natural sciences, and bioenergetics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	4	4	430
2	Natural Sciences	4	4	430
3	Biochemistry	3	3	413
4	Biology	1	1	45
5	Biostatistics	1	1	17

Marco J. L. de Groot

Publications

624

Citations

H-Index

Page 1

	Year	Citations
The fluxes through glycolytic enzymes in <i>Saccharomyces cerevisiae</i> are predominantly regulated at posttranscriptional levels Pascale Daran‐Lapujade, Sergio Rossell, Walter M. van Gulik, Proceedings of the National Academy of Sciences Hierarchical RegulationMolecular BiologyMetabolic FluxesMetabolic ModelMetabolic Network	2007	249
Quantitative proteomics and transcriptomics of anaerobic and aerobic yeast cultures reveals post-transcriptional regulation of key cellular processes Marco J. L. de Groot, Pascale Daran‐Lapujade, Bas van Breukelen, Microbiology Key Cellular ProcessesMetabolic ModelRedox BiologyProteomic TechnologyTranscriptional Regulation	2007	119
The <i>Aspergillus niger</i><scp>d</scp>‐xylulose kinase gene is co‐expressed with genes encoding arabinan degrading enzymes, and is essential for growth on <scp>d</scp>‐xylose and <scp>l</scp>‐arabinose Patricia vanKuyk, Marco J. L. de Groot, George J. G. Ruijter, European Journal of Biochemistry	2001	68
Isolation and characterization of two specific regulatory Aspergillus niger mutants shows antagonistic regulation of arabinan and xylan metabolism Marco J. L. de Groot, Peter J. I. van de Vondervoort, Ronald P. de Vries, Microbiology	2003	59
A three‐way proteomics strategy allows differential analysis of yeast mitochondrial membrane protein complexes under anaerobic and aerobic conditions Andreas O. Helbig, Marco J. L. de Groot, Renske A. van Gestel, PROTEOMICS Aerobic ConditionsMolecular BiologyPearson Correlation AnalysisMitochondrial BiologyProteomic Technology	2009	45
Metabolic Control Analysis of <i>Aspergillus niger</i><scp>l</scp>‐Arabinose Catabolism Marco J. L. de Groot, Wai Prathumpai, Jaap Visser, Biotechnology Progress	2005	42
Metabolic pathway alignment between species using a comprehensive and flexible similarity measure Yunlei Li, Dick de Ridder, Marco J. L. de Groot, BMC Systems Biology	2008	25
Efficient calculation of compound similarity based on maximum common subgraphs and its application to prediction of gene transcript levels R. J. P. van Berlo, Wynand Winterbach, Marco J. L. de Groot, International Journal of Bioinformatics Research and Applications GeneticsMolecular BiologyGenomicsSequence AlignmentStructural Similarity	2013	17

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