R.E. Schouten

3.1k total citations · 2 hit papers
77 papers, 2.2k citations indexed

About

R.E. Schouten is a scholar working on Plant Science, Biochemistry and Analytical Chemistry. According to data from OpenAlex, R.E. Schouten has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 12 papers in Biochemistry and 11 papers in Analytical Chemistry. Recurrent topics in R.E. Schouten's work include Postharvest Quality and Shelf Life Management (50 papers), Plant Physiology and Cultivation Studies (35 papers) and Greenhouse Technology and Climate Control (15 papers). R.E. Schouten is often cited by papers focused on Postharvest Quality and Shelf Life Management (50 papers), Plant Physiology and Cultivation Studies (35 papers) and Greenhouse Technology and Climate Control (15 papers). R.E. Schouten collaborates with scholars based in Netherlands, Italy and Slovenia. R.E. Schouten's co-authors include L.F.M. Marcelis, L.M.M. Tijskens, Yury Tikunov, Ying Liu, Arnaud Bovy, Richard G. F. Visser, Ernst J. Woltering, O. van Kooten, Ana Paula Silva and Berta Gonçalves and has published in prestigious journals such as Food Chemistry, Trends in Food Science & Technology and Frontiers in Plant Science.

In The Last Decade

R.E. Schouten

72 papers receiving 2.0k citations

Hit Papers

Anthocyanin Biosynthesis and Degradation Mechanisms in So... 2018 2026 2020 2023 2018 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.E. Schouten Netherlands 21 1.4k 553 443 327 213 77 2.2k
Anastasios S. Siomos Greece 25 1.4k 1.0× 319 0.6× 321 0.7× 349 1.1× 116 0.5× 104 1.8k
Chang Yeon Yu South Korea 28 1.3k 0.9× 925 1.7× 330 0.7× 369 1.1× 102 0.5× 146 2.4k
Lájos Helyes Hungary 24 1.2k 0.9× 221 0.4× 600 1.4× 200 0.6× 216 1.0× 114 1.8k
Qianqian Li China 24 917 0.6× 362 0.7× 114 0.3× 335 1.0× 155 0.7× 67 1.8k
Zoltán Pék Hungary 23 1.2k 0.8× 204 0.4× 496 1.1× 167 0.5× 158 0.7× 105 1.7k
Catello Pane Italy 26 1.6k 1.1× 277 0.5× 141 0.3× 287 0.9× 75 0.4× 93 2.3k
Jinhua Zuo China 32 2.3k 1.6× 1.0k 1.9× 465 1.0× 426 1.3× 55 0.3× 130 2.9k
Aman Ullah Malik Pakistan 31 2.5k 1.7× 324 0.6× 623 1.4× 547 1.7× 133 0.6× 143 3.0k
Susanne Huyskens-Keil Germany 22 1.2k 0.8× 420 0.8× 563 1.3× 495 1.5× 38 0.2× 72 1.8k

Countries citing papers authored by R.E. Schouten

Since Specialization
Citations

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

Fields of papers citing papers by R.E. Schouten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.E. Schouten. 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 R.E. Schouten. The network helps show where R.E. Schouten may publish in the future.

Co-authorship network of co-authors of R.E. Schouten

This figure shows the co-authorship network connecting the top 25 collaborators of R.E. Schouten. A scholar is included among the top collaborators of R.E. Schouten 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 R.E. Schouten. R.E. Schouten 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.
Li, Hua, Dorthe Helena Larsen, R.E. Schouten, et al.. (2025). Red, blue and far-red light affect strawberry plant development and fruit quality without changing the susceptibility to Botrytis cinerea infection. Environmental and Experimental Botany. 233. 106133–106133.
3.
Verdonk, Julian C., et al.. (2023). Effect of preharvest conditions on cut-flower quality. Frontiers in Plant Science. 14. 1281456–1281456. 10 indexed citations
4.
Li, Hua, et al.. (2022). High CO2 Reduces Spoilage Caused by Botrytis cinerea in Strawberry Without Impairing Fruit Quality. Frontiers in Plant Science. 13. 842317–842317. 7 indexed citations
5.
Li, Hua, Dorthe Helena Larsen, Yury Tikunov, et al.. (2022). The association between the susceptibility to Botrytis cinerea and the levels of volatile and non-volatile metabolites in red ripe strawberry genotypes. Food Chemistry. 393. 133252–133252. 8 indexed citations
6.
Delden, S.H. van, Malleshaiah SharathKumar, Luuk Graamans, et al.. (2021). Current status and future challenges in implementing and upscaling vertical farming systems. Nature Food. 2(12). 944–956. 333 indexed citations breakdown →
7.
Verschoor, J.A., et al.. (2021). Low Oxygen Storage Improves Tomato Postharvest Cold Tolerance, Especially for Tomatoes Cultivated with Far-Red LED Light. Foods. 10(8). 1699–1699. 2 indexed citations
8.
Tijskens, L.M.M., S. van Mourik, J.A. Dieleman, & R.E. Schouten. (2020). Size development of tomatoes growing in trusses: linking time of fruit set to diameter. Journal of the Science of Food and Agriculture. 100(10). 4020–4028. 9 indexed citations
9.
Correia, Sofia, R.E. Schouten, & Ana Paula Silva. (2019). “Cracking”: fattori predisponenti e tecniche di prevenzione. Rivista di frutticoltura e di ortofloricoltura. 83(3). 28–36.
10.
Nicole, Céline C.S., Dorthe H. Larsen, Ernst J. Woltering, et al.. (2019). Effects of LED lighting recipes on postharvest quality of leafy vegetables grown in a vertical farm. Acta Horticulturae. 481–488. 11 indexed citations
11.
Verdonk, Julian C., et al.. (2019). Far-red light during cultivation induces postharvest cold tolerance in tomato fruit. Postharvest Biology and Technology. 159. 111019–111019. 24 indexed citations
12.
Schouten, R.E., et al.. (2018). Mango Firmness Modeling as Affected by Transport and Ethylene Treatments. Frontiers in Plant Science. 9. 1647–1647. 22 indexed citations
13.
Schouten, R.E., et al.. (2018). Firmness behaviour of sliced tomato. Acta Horticulturae. 341–346.
14.
Correia, Sofia, R.E. Schouten, Ana Paula Silva, & Berta Gonçalves. (2017). Factors Affecting Quality and Health Promoting Compounds during Growth and Postharvest Life of Sweet Cherry (Prunus avium L.). Frontiers in Plant Science. 8. 2166–2166. 100 indexed citations
15.
Tijskens, L.M.M., et al.. (2017). Assessing biological and technical variation in destructively measured data. Postharvest Biology and Technology. 132. 31–42. 3 indexed citations
16.
17.
Farneti, Brian, R.E. Schouten, & Ernst J. Woltering. (2012). Low temperature-induced lycopene degradation in red ripe tomato evaluated by remittance spectroscopy. Postharvest Biology and Technology. 73. 22–27. 36 indexed citations
18.
Tijskens, L.M.M., et al.. (2010). Modelling the biological variance of the yellow aspect of Granny Smith apple colour. Journal of the Science of Food and Agriculture. 90(5). 798–805. 9 indexed citations
19.
Tijskens, L.M.M., E. Heuvelink, R.E. Schouten, M. M. Lana, & O. van Kooten. (2005). THE BIOLOGICAL SHIFT FACTOR: BIOLOGICAL AGE AS A TOOL FOR MODELLING IN PRE- AND POSTHARVEST HORTICULTURE. Acta Horticulturae. 39–46. 40 indexed citations
20.
Schouten, R.E., L.M.M. Tijskens, & O. van Kooten. (2002). Predicting keeping quality of batches of cucumber fruit based on a physiological mechanism. Postharvest Biology and Technology. 26(2). 209–220. 55 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026