Bert De Rybel

10.5k total citations · 3 hit papers
82 papers, 6.7k citations indexed

About

Bert De Rybel is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Bert De Rybel has authored 82 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Plant Science, 69 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Bert De Rybel's work include Plant Molecular Biology Research (64 papers), Plant nutrient uptake and metabolism (36 papers) and Plant Reproductive Biology (36 papers). Bert De Rybel is often cited by papers focused on Plant Molecular Biology Research (64 papers), Plant nutrient uptake and metabolism (36 papers) and Plant Reproductive Biology (36 papers). Bert De Rybel collaborates with scholars based in Belgium, Netherlands and United Kingdom. Bert De Rybel's co-authors include Tom Beeckman, Dolf Weijers, Ilda Casimiro, Steffen Vanneste, Malcolm J. Bennett, Brecht Wybouw, Ive De Smet, Ranjan Swarup, Laurent Laplaze and Gert Van Isterdael and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Bert De Rybel

79 papers receiving 6.6k citations

Hit Papers

Arabidopsis lateral root ... 2009 2026 2014 2020 2009 2020 2021 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bert De Rybel 5.9k 4.5k 207 171 131 82 6.7k
Ikram Blilou 8.6k 1.4× 6.3k 1.4× 400 1.9× 211 1.2× 108 0.8× 84 9.3k
Shinichiro Sawa 6.3k 1.1× 4.7k 1.0× 298 1.4× 136 0.8× 106 0.8× 133 6.9k
Eva Zažı́malová 5.7k 1.0× 4.1k 0.9× 159 0.8× 273 1.6× 72 0.5× 52 6.2k
Jocelyn Malamy 7.6k 1.3× 4.1k 0.9× 206 1.0× 266 1.6× 98 0.7× 30 8.1k
Eugenia Russinova 6.2k 1.1× 4.7k 1.0× 151 0.7× 776 4.5× 168 1.3× 105 7.4k
Michael Sauer 8.2k 1.4× 6.8k 1.5× 244 1.2× 427 2.5× 157 1.2× 54 8.8k
Jürgen Kleine‐Vehn 6.7k 1.1× 5.6k 1.2× 142 0.7× 758 4.4× 66 0.5× 84 7.4k
Steffen Vanneste 8.2k 1.4× 6.0k 1.3× 236 1.1× 448 2.6× 131 1.0× 77 9.0k
Isomaro Yamaguchi 4.3k 0.7× 3.1k 0.7× 316 1.5× 116 0.7× 186 1.4× 166 5.0k
Tatsuo Kakimoto 8.5k 1.4× 7.3k 1.6× 360 1.7× 558 3.3× 214 1.6× 60 10.1k

Countries citing papers authored by Bert De Rybel

Since Specialization
Citations

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

Fields of papers citing papers by Bert De Rybel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bert De Rybel. 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 Bert De Rybel. The network helps show where Bert De Rybel may publish in the future.

Co-authorship network of co-authors of Bert De Rybel

This figure shows the co-authorship network connecting the top 25 collaborators of Bert De Rybel. A scholar is included among the top collaborators of Bert De Rybel 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 Bert De Rybel. Bert De Rybel 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.
Minne, Max, et al.. (2024). Studying plant vascular development using single-cell approaches. Current Opinion in Plant Biology. 78. 102526–102526. 5 indexed citations
2.
Mor, Eliana, Jonah Nolf, Feng Wang, et al.. (2024). A precise balance of TETRASPANIN1 / TORNADO2 activity is required for vascular proliferation and ground tissue patterning in Arabidopsis. Physiologia Plantarum. 176(1). e14182–e14182. 3 indexed citations
3.
Yang, Baojun, Yanbiao Sun, Max Minne, et al.. (2024). SPL13 controls a root apical meristem phase change by triggering oriented cell divisions. Science. 386(6723). eado4298–eado4298. 7 indexed citations
4.
Minne, Max, et al.. (2023). Single Cell RNA-Sequencing in Arabidopsis Root Tissues. Methods in molecular biology. 2698. 41–56. 3 indexed citations
5.
Lakehal, Abdellah, Michiel Van Bel, Maria Njo, et al.. (2023). Spatial transcriptomics of a lycophyte root sheds light on root evolution. Current Biology. 33(19). 4069–4084.e8. 13 indexed citations
6.
Su, Chang, et al.. (2023). Cella: 3D data visualization for plant single‐cell transcriptomics in Blender. Physiologia Plantarum. 175(6). e14068–e14068. 2 indexed citations
7.
Verstraeten, Inge, Thomas S. A. Heugebaert, Christian V. Stevens, et al.. (2023). Chemical induction of hypocotyl rooting reveals extensive conservation of auxin signalling controlling lateral and adventitious root formation. New Phytologist. 240(5). 1883–1899. 8 indexed citations
8.
Sun, Yanbiao, Baojun Yang, & Bert De Rybel. (2023). Hormonal control of the molecular networks guiding vascular tissue development in the primary root meristem of Arabidopsis. Journal of Experimental Botany. 74(22). 6964–6974. 8 indexed citations
9.
Tomescu, Alexandru M. F., et al.. (2022). Deep origin and gradual evolution of transporting tissues: Perspectives from across the land plants. PLANT PHYSIOLOGY. 190(1). 85–99. 24 indexed citations
10.
Leus, Leen, et al.. (2021). Determination of Genetic Distance, Genome Size and Chromosome Numbers to Support Breeding in Ornamental Lavandula Species. Agronomy. 11(11). 2173–2173. 8 indexed citations
11.
Wang, Jie, Klaas Yperman, Peter Grones, et al.. (2021). Conditional destabilization of the TPLATE complex impairs endocytic internalization. Proceedings of the National Academy of Sciences. 118(15). 18 indexed citations
12.
Glanc, Matouš, Kasper van Gelderen, Lukas Hoermayer, et al.. (2021). AGC kinases and MAB4/MEL proteins maintain PIN polarity by limiting lateral diffusion in plant cells. Current Biology. 31(9). 1918–1930.e5. 34 indexed citations
13.
Hajný, Jakub, Lesia Rodríguez, Shutang Tan, et al.. (2020). Receptor kinase module targets PIN-dependent auxin transport during canalization. Science. 370(6516). 550–557. 61 indexed citations
14.
Rybel, Bert De, et al.. (2017). Regulation of intercellular TARGET OF MONOPTEROS 7 protein transport in the Arabidopsis root. Development. 145(2). 24 indexed citations
15.
Xuan, Wei, Leah R. Band, Robert P. Kumpf, et al.. (2016). Cyclic programmed cell death stimulates hormone signaling and root development in Arabidopsis. Science. 351(6271). 384–387. 164 indexed citations
16.
Rybel, Bert De, Milad Adibi, Alice S. Breda, et al.. (2014). Integration of growth and patterning during vascular tissue formation in Arabidopsis. Science. 345(6197). 1255215–1255215. 263 indexed citations
17.
Manzano, Concepción, Ilda Casimiro, Bert De Rybel, et al.. (2014). The Emerging Role of Reactive Oxygen Species Signaling during Lateral Root Development. PLANT PHYSIOLOGY. 165(3). 1105–1119. 117 indexed citations
18.
Manzano, Concepción, Elena Ramírez-Parra, Ilda Casimiro, et al.. (2012). Auxin and Epigenetic Regulation of SKP2B , an F-Box That Represses Lateral Root Formation   . PLANT PHYSIOLOGY. 160(2). 749–762. 75 indexed citations
19.
Smet, Ive De, Valya Vassileva, Bert De Rybel, et al.. (2008). Receptor-Like Kinase ACR4 Restricts Formative Cell Divisions in the Arabidopsis Root. Science. 322(5901). 594–597. 288 indexed citations
20.
Smet, Ive De, Takuya Tetsumura, Bert De Rybel, et al.. (2007). Auxin-dependent regulation of lateral root positioning in the basal meristem of Arabidopsis. Development. 134(4). 681–690. 475 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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