E.N. van Loo

1.6k total citations
47 papers, 910 citations indexed

About

E.N. van Loo is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, E.N. van Loo has authored 47 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 16 papers in Molecular Biology and 9 papers in Biochemistry. Recurrent topics in E.N. van Loo's work include Lipid metabolism and biosynthesis (9 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and CRISPR and Genetic Engineering (4 papers). E.N. van Loo is often cited by papers focused on Lipid metabolism and biosynthesis (9 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and CRISPR and Genetic Engineering (4 papers). E.N. van Loo collaborates with scholars based in Netherlands, China and Sweden. E.N. van Loo's co-authors include Richard G. F. Visser, Luisa M. Trindade, C. Bachem, Li‐Hua Zhu, Xueyuan Li, H. Krämer, O. Dolstra, Marston H. D. Franceschini, Richard Finkers and Alim Pulatov and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

E.N. van Loo

43 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.N. van Loo Netherlands 15 493 329 226 139 100 47 910
Luis Aguirrezábal Argentina 24 1.6k 3.3× 374 1.1× 152 0.7× 133 1.0× 258 2.6× 45 1.9k
Ana Marjanović‐Jeromela Serbia 19 822 1.7× 345 1.0× 134 0.6× 60 0.4× 165 1.6× 120 1.1k
Weicong Qi China 19 781 1.6× 318 1.0× 67 0.3× 63 0.5× 41 0.4× 35 1.1k
Guangsheng Zhou China 18 832 1.7× 324 1.0× 39 0.2× 48 0.3× 356 3.6× 58 1.1k
Jianguo Zhang China 19 468 0.9× 414 1.3× 31 0.1× 27 0.2× 56 0.6× 65 1.1k
Julie Dechorgnat Australia 9 1.6k 3.3× 316 1.0× 54 0.2× 36 0.3× 292 2.9× 9 1.8k
Rajasekaran R. Lada Canada 16 771 1.6× 249 0.8× 153 0.7× 50 0.4× 70 0.7× 76 963
Dominik K. Großkinsky Denmark 23 1.7k 3.4× 549 1.7× 26 0.1× 42 0.3× 116 1.2× 45 2.0k
Bruno Galvêas Laviola Brazil 21 1.1k 2.2× 214 0.7× 19 0.1× 268 1.9× 81 0.8× 123 1.4k
Nikolaos Nikoloudakis Greece 20 902 1.8× 252 0.8× 56 0.2× 53 0.4× 33 0.3× 66 1.2k

Countries citing papers authored by E.N. van Loo

Since Specialization
Citations

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

Fields of papers citing papers by E.N. van Loo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.N. van Loo. 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 E.N. van Loo. The network helps show where E.N. van Loo may publish in the future.

Co-authorship network of co-authors of E.N. van Loo

This figure shows the co-authorship network connecting the top 25 collaborators of E.N. van Loo. A scholar is included among the top collaborators of E.N. van Loo 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 E.N. van Loo. E.N. van Loo 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.
Schaart, Jan G., et al.. (2025). Direct and indirect effects of multiplex genome editing of F5H and FAD2 in oil crop camelina. Plant Biotechnology Journal. 23(5). 1399–1412. 1 indexed citations
2.
Loo, E.N. van, et al.. (2023). A genome wide association study to dissect the genetic architecture of agronomic traits in Andean lupin (Lupinus mutabilis). Frontiers in Plant Science. 13. 1099293–1099293. 2 indexed citations
3.
Schranz, M. Eric, et al.. (2023). Highly differentiated genomic properties underpin the different cell walls of Poaceae and eudicots. PLANT PHYSIOLOGY. 194(1). 274–295. 5 indexed citations
4.
Loo, E.N. van, Mohamad Al Hassan, Maria‐João Paulo, et al.. (2023). Syntenic Cell Wall QTLs as Versatile Breeding Tools: Intraspecific Allelic Variability and Predictability of Biomass Quality Loci in Target Plant Species. Plants. 12(4). 779–779. 1 indexed citations
5.
Loo, E.N. van, et al.. (2022). Genomic Architecture and Evolution of the Cellulose synthase Gene Superfamily as Revealed by Phylogenomic Analysis. Frontiers in Plant Science. 13. 870818–870818. 14 indexed citations
6.
Loo, E.N. van, et al.. (2022). Detection and Analysis of Syntenic Quantitative Trait Loci Controlling Cell Wall Quality in Angiosperms. Frontiers in Plant Science. 13. 855093–855093. 4 indexed citations
7.
Zedde, H.J. van de, et al.. (2021). High-Resolution Analysis of Growth and Transpiration of Quinoa Under Saline Conditions. Frontiers in Plant Science. 12. 634311–634311. 20 indexed citations
8.
Salentijn, Elma M. J., et al.. (2020). Elucidating the Genetic Architecture of Fiber Quality in Hemp (Cannabis sativa L.) Using a Genome-Wide Association Study. Frontiers in Genetics. 11. 566314–566314. 23 indexed citations
9.
Bartholomeus, Harm, A.K. Bregt, Alim Pulatov, et al.. (2018). UAV based soil salinity assessment of cropland. Geoderma. 338. 502–512. 106 indexed citations
10.
Zanetti, Federica, Christina Eynck, M. Christou, et al.. (2017). Agronomic performance and seed quality attributes of Camelina (Camelina sativa L. crantz) in multi-environment trials across Europe and Canada. Industrial Crops and Products. 107. 602–608. 106 indexed citations
11.
Qi, Weicong, Elma M. J. Salentijn, Zhao Zhang, et al.. (2017). Genetically engineering Crambe abyssinica—A potentially high‐value oil crop for salt land improvement. Land Degradation and Development. 29(4). 1096–1106. 15 indexed citations
12.
King, Andrew, et al.. (2015). Identification of QTL markers contributing to plant growth, oil yield and fatty acid composition in the oilseed crop Jatropha curcas L.. Biotechnology for Biofuels. 8(1). 160–160. 28 indexed citations
13.
Salentijn, Elma M. J., Bangquan Huang, Weicong Qi, et al.. (2014). Detection of induced mutations inCaFAD2genes by next‐generation sequencing leading to the production of improved oil composition inCrambe abyssinica. Plant Biotechnology Journal. 13(4). 471–481. 10 indexed citations
14.
Jongschaap, R.E.E., et al.. (2014). High level of molecular and phenotypic biodiversity in Jatropha curcasfrom Central America compared to Africa, Asia and South America. BMC Plant Biology. 14(1). 77–77. 43 indexed citations
15.
Zhu, Li‐Hua, Elma M. J. Salentijn, Bangquan Huang, et al.. (2013). Functional analysis of the omega-6 fatty acid desaturase (CaFAD2) gene family of the oil seed crop Crambe abyssinica. BMC Plant Biology. 13(1). 146–146. 11 indexed citations
16.
Li, Xueyuan, E.N. van Loo, Jens Gruber, et al.. (2012). Development of ultra‐high erucic acid oil in the industrial oil crop Crambe abyssinica. Plant Biotechnology Journal. 10(7). 862–870. 79 indexed citations
17.
Wijnands, J.H.M., et al.. (2011). Ethiopian soya bean and sunflower value chains : Opportunities and challenges. Socio-Environmental Systems Modeling. 2 indexed citations
18.
19.
Loo, E.N. van, et al.. (2008). Forage quality improvement in perennial ryegrass offspring relative to their genetically distant parents. Czech Journal of Genetics and Plant Breeding. 39. 91–94. 2 indexed citations
20.
Straatsma, G., A.S.M. Sonnenberg, & E.N. van Loo. (2007). Systeeminnovatie in teelt en voeding van champignons. Socio-Environmental Systems Modeling. 1 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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