Peter Denolf

1.1k total citations
18 papers, 749 citations indexed

About

Peter Denolf is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Peter Denolf has authored 18 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Biochemistry. Recurrent topics in Peter Denolf's work include Lipid metabolism and biosynthesis (8 papers), Photosynthetic Processes and Mechanisms (5 papers) and Insect Resistance and Genetics (4 papers). Peter Denolf is often cited by papers focused on Lipid metabolism and biosynthesis (8 papers), Photosynthetic Processes and Mechanisms (5 papers) and Insect Resistance and Genetics (4 papers). Peter Denolf collaborates with scholars based in United States, Belgium and Germany. Peter Denolf's co-authors include M. Peferoen, Stefan Jansens, Danny Degheele, Jeroen Van Rie, Ljudmilla Borisjuk, Hardy Rolletschek, Nicolas Heinzel, Jörg Schwender, Hans‐Peter Braun and Steven Engelen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and The Plant Cell.

In The Last Decade

Peter Denolf

18 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Denolf United States 14 597 367 203 172 61 18 749
Judy A. Schnurr United States 12 734 1.2× 723 2.0× 294 1.4× 39 0.2× 38 0.6× 14 1.1k
Vasilios M. E. Andriotis United Kingdom 14 302 0.5× 750 2.0× 93 0.5× 67 0.4× 29 0.5× 17 887
Mats Ellerström Sweden 16 693 1.2× 985 2.7× 199 1.0× 171 1.0× 13 0.2× 19 1.2k
Pavan Umate India 17 643 1.1× 448 1.2× 45 0.2× 55 0.3× 12 0.2× 30 847
Mao-Sheng Chen China 17 516 0.9× 551 1.5× 68 0.3× 23 0.1× 43 0.7× 37 767
Cunxi Wang United States 16 531 0.9× 704 1.9× 182 0.9× 122 0.7× 6 0.1× 26 946
Tara J. Nazarenus United States 13 487 0.8× 335 0.9× 313 1.5× 19 0.1× 116 1.9× 23 741
Nick Cai United States 8 441 0.7× 415 1.1× 26 0.1× 52 0.3× 46 0.8× 10 838
Eun Yu Kim South Korea 14 562 0.9× 530 1.4× 176 0.9× 64 0.4× 13 0.2× 33 780
Yang Ju Im United States 16 564 0.9× 710 1.9× 137 0.7× 29 0.2× 11 0.2× 22 926

Countries citing papers authored by Peter Denolf

Since Specialization
Citations

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

Fields of papers citing papers by Peter Denolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Denolf

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

All Works

18 of 18 papers shown
1.
Rolletschek, Hardy, Jörg Schwender, Kent D. Chapman, et al.. (2020). Cellular Plasticity in Response to Suppression of Storage Proteins in the Brassica napus Embryo. The Plant Cell. 32(7). 2383–2401. 22 indexed citations
2.
Wallis, James G., et al.. (2020). The biochemistry of headgroup exchange during triacylglycerol synthesis in canola. The Plant Journal. 103(1). 83–94. 24 indexed citations
3.
Engelen, Steven, et al.. (2018). Identification, characterization and field testing of Brassica napus mutants producing high‐oleic oils. The Plant Journal. 98(1). 33–41. 27 indexed citations
4.
Nour‐Eldin, Hussam Hassan, Steven Engelen, Morten Egevang Jørgensen, et al.. (2017). Reduction of antinutritional glucosinolates in Brassica oilseeds by mutation of genes encoding transporters. Nature Biotechnology. 35(4). 377–382. 77 indexed citations
5.
Wallis, James G., et al.. (2016). Directed evolution increases desaturation of a cyanobacterial fatty acid desaturase in eukaryotic expression systems. Biotechnology and Bioengineering. 113(7). 1522–1530. 9 indexed citations
6.
Aznar‐Moreno, Jose A., Peter Denolf, Stefanie De Bodt, et al.. (2015). Type 1 diacylglycerol acyltransferases ofBrassica napuspreferentially incorporate oleic acid into triacylglycerol. Journal of Experimental Botany. 66(20). 6497–6506. 31 indexed citations
7.
Schwender, Jörg, Nicolas Heinzel, Tatjana M. Hildebrandt, et al.. (2015). Quantitative Multilevel Analysis of Central Metabolism in Developing Oilseeds of Oilseed Rape during in Vitro Culture. PLANT PHYSIOLOGY. 168(3). 828–848. 75 indexed citations
8.
Lambert, Bart, Peter Denolf, Steven Engelen, et al.. (2015). Omics-directed Reverse Genetics Enables the Creation of New Productivity Traits for the Vegetable Oil Crop Canola. Procedia Environmental Sciences. 29. 77–78. 5 indexed citations
9.
Schwender, Jörg, Nicolas Heinzel, E. Muñz, et al.. (2014). Transcript abundance on its own cannot be used to infer fluxes in central metabolism. Frontiers in Plant Science. 5. 668–668. 56 indexed citations
10.
Borisjuk, Ljudmilla, Thomas Neuberger, Jörg Schwender, et al.. (2013). Seed Architecture Shapes Embryo Metabolism in Oilseed Rape . The Plant Cell. 25(5). 1625–1640. 106 indexed citations
11.
Nietzel, Thomas, Natalya V. Dudkina, Peter Denolf, et al.. (2012). The Native Structure and Composition of the Cruciferin Complex in Brassica napus. Journal of Biological Chemistry. 288(4). 2238–2245. 27 indexed citations
12.
Jásik, Ján, et al.. (2011). Subtissue-Specific Evaluation of Promoter Efficiency by Quantitative Fluorometric Assay in Laser Microdissected Tissues of Rapeseed. PLANT PHYSIOLOGY. 157(2). 563–573. 7 indexed citations
13.
Vanhercke, Thomas, Christophe Ampè, Luc Tirry, & Peter Denolf. (2005). Rescue and In Situ Selection and Evaluation (RISE): A Method for High-Throughput Panning of Phage Display Libraries. SLAS DISCOVERY. 10(2). 108–117. 9 indexed citations
14.
Vanhercke, Thomas, Christophe Ampè, Luc Tirry, & Peter Denolf. (2004). Reducing mutational bias in random protein libraries. Analytical Biochemistry. 339(1). 9–14. 49 indexed citations
15.
16.
Denolf, Peter, Koen Hendrickx, J. Van Damme, et al.. (1997). Cloning and Characterization of Manduca Sexta and Plutella Xylostella Midgut Aminopeptidase N Enzymes Related to Bacillus Thuringiensis Toxin‐Binding Proteins. European Journal of Biochemistry. 248(3). 748–761. 89 indexed citations
17.
Denolf, Peter, Stefan Jansens, M. Peferoen, Danny Degheele, & Jeroen Van Rie. (1993). Two Different Bacillus thuringiensis Delta-Endotoxin Receptors in the Midgut Brush Border Membrane of the European Corn Borer, Ostrinia nubilalis (Hübner) (Lepidoptera: Pyralidae). Applied and Environmental Microbiology. 59(6). 1828–1837. 72 indexed citations
18.
Denolf, Peter, et al.. (1993). Biotinylation of Bacillus thuringiensis Insecticidal Crystal Proteins. Applied and Environmental Microbiology. 59(6). 1821–1827. 46 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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