Geert De Jaeger

14.4k total citations · 3 hit papers
154 papers, 9.7k citations indexed

About

Geert De Jaeger is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Geert De Jaeger has authored 154 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 80 papers in Plant Science and 33 papers in Cell Biology. Recurrent topics in Geert De Jaeger's work include Plant Molecular Biology Research (52 papers), Photosynthetic Processes and Mechanisms (35 papers) and Plant Reproductive Biology (24 papers). Geert De Jaeger is often cited by papers focused on Plant Molecular Biology Research (52 papers), Photosynthetic Processes and Mechanisms (35 papers) and Plant Reproductive Biology (24 papers). Geert De Jaeger collaborates with scholars based in Belgium, France and Germany. Geert De Jaeger's co-authors include Dominique Eeckhout, Jelle Van Leene, Erwin Witters, Dirk Inzé, Alain Goossens, Kris Gevaert, Geert Persiau, Laurens Pauwels, Jan Geerinck and Roberto Solano and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Geert De Jaeger

153 papers receiving 9.6k citations

Hit Papers

TheArabidopsisbHLH Transcription Factors MYC3 and MYC4 Ar... 2010 2026 2015 2020 2011 2010 2017 250 500 750

Peers

Geert De Jaeger
Steven P. Briggs United States
Anireddy S. N. Reddy United States
Natasha V. Raikhel United States
Mark J. Banfield United Kingdom
Federica Brandizzí United States
Adam J. Bogdanove United States
Zhifu Han China
Steven P. Briggs United States
Geert De Jaeger
Citations per year, relative to Geert De Jaeger Geert De Jaeger (= 1×) peers Steven P. Briggs

Countries citing papers authored by Geert De Jaeger

Since Specialization
Citations

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

Fields of papers citing papers by Geert De Jaeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geert De Jaeger

This figure shows the co-authorship network connecting the top 25 collaborators of Geert De Jaeger. A scholar is included among the top collaborators of Geert De Jaeger 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 Geert De Jaeger. Geert De Jaeger 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.
Eeckhout, Dominique, Nancy De Winne, Geert Persiau, et al.. (2024). A Nitrogen-specific Interactome Analysis Sheds Light on the Role of the SnRK1 and TOR Kinases in Plant Nitrogen Signaling. Molecular & Cellular Proteomics. 23(10). 100842–100842. 4 indexed citations
2.
Eekhout, Thomas, Balkan Canher, Ran Lu, et al.. (2023). PAT1-type GRAS-domain proteins control regeneration by activating DOF3.4 to drive cell proliferation in Arabidopsis roots. The Plant Cell. 35(5). 1513–1531. 32 indexed citations
3.
Safi, Alaeddine, Amanda Gonçalves, Ke Xu, et al.. (2023). Phase separation-based visualization of protein–protein interactions and kinase activities in plants. The Plant Cell. 35(9). 3280–3302. 9 indexed citations
4.
Reynolds, Gregory D., Jessica Cardenas, Dominique Eeckhout, et al.. (2022). Proteomic characterization of isolated Arabidopsis clathrin-coated vesicles reveals evolutionarily conserved and plant-specific components. The Plant Cell. 34(6). 2150–2173. 34 indexed citations
5.
Walkemeier, Birgit, Jelle Van Leene, Geert De Jaeger, et al.. (2022). The FANCC–FANCE–FANCF complex is evolutionarily conserved and regulates meiotic recombination. Nucleic Acids Research. 51(6). 2516–2528. 12 indexed citations
6.
Zhang, Cheng, Wenxin Tang, Shanshuo Zhu, et al.. (2022). ROPGAP-dependent interaction between brassinosteroid and ROP2-GTPase signaling controls pavement cell shape in Arabidopsis. Current Biology. 32(3). 518–531.e6. 28 indexed citations
7.
Han, Chao, Jinge Li, Wei Hao, et al.. (2021). TOR promotes guard cell starch degradation by regulating the activity of β-AMYLASE1 in Arabidopsis. The Plant Cell. 34(3). 1038–1053. 27 indexed citations
8.
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
9.
David, Pascale, Thomas Eekhout, Kaoru Yoshiyama, et al.. (2021). Arabidopsis casein kinase 2 triggers stem cell exhaustion under Al toxicity and phosphate deficiency through activating the DNA damage response pathway. The Plant Cell. 33(4). 1361–1380. 36 indexed citations
10.
Wang, Jie, Alexander Johnson, Geert De Jaeger, et al.. (2020). High Temporal Resolution Reveals Simultaneous Plasma Membrane Recruitment of TPLATE Complex Subunits. PLANT PHYSIOLOGY. 183(3). 986–997. 25 indexed citations
11.
Vanhaeren, Hannes, Ying Chen, Mattias Vermeersch, et al.. (2020). UBP12 and UBP13 negatively regulate the activity of the ubiquitin-dependent peptidases DA1, DAR1 and DAR2. eLife. 9. 32 indexed citations
12.
Cromer, Laurence, Sylvie Jolivet, Nancy De Winne, et al.. (2019). Patronus is the elusive plant securin, preventing chromosome separation by antagonizing separase. Proceedings of the National Academy of Sciences. 116(32). 16018–16027. 23 indexed citations
13.
Boruc, Joanna, Xingguang Deng, Matthias Van Durme, et al.. (2019). TPX2-LIKE PROTEIN3 Is the Primary Activator of α-Aurora Kinases and Is Essential for Embryogenesis. PLANT PHYSIOLOGY. 180(3). 1389–1405. 20 indexed citations
14.
Růžička, Kamil, Mi Zhang, Ana Campilho, et al.. (2017). Identification of factors required for m 6 A mRNA methylation in Arabidopsis reveals a role for the conserved E3 ubiquitin ligase HAKAI. New Phytologist. 215(1). 157–172. 371 indexed citations breakdown →
15.
Belda‐Palazón, Borja, Lesia Rodríguez, Ángeles Fernández, et al.. (2016). FYVE1/FREE1 Interacts with the PYL4 ABA Receptor and Mediates Its Delivery to the Vacuolar Degradation Pathway. The Plant Cell. 28(9). 2291–2311. 140 indexed citations
16.
Pauwels, Laurens, Andrés Ritter, Jonas Goossens, et al.. (2015). The RING E3 Ligase KEEP ON GOING Modulates JASMONATE ZIM-DOMAIN12 Stability. PLANT PHYSIOLOGY. 169(2). 1405–1417. 80 indexed citations
17.
Gadeyne, Astrid, Dorothee Stӧckle, Geert De Jaeger, et al.. (2014). The Phragmoplast-Orienting Kinesin-12 Class Proteins Translate the Positional Information of the Preprophase Band to Establish the Cortical Division Zone in Arabidopsis thaliana    . The Plant Cell. 26(6). 2617–2632. 91 indexed citations
18.
Heyman, Jefri, Toon Cools, Filip Vandenbussche, et al.. (2013). ERF115 Controls Root Quiescent Center Cell Division and Stem Cell Replenishment. Science. 342(6160). 860–863. 261 indexed citations
19.
Constans, J., et al.. (1981). Gc, Tf, Hp Subtype and α<sub>1</sub>-Antitrypsin Polymorphisms in a Pygmy Bi-Aka Sample. Human Heredity. 31(3). 129–137. 18 indexed citations
20.
Vergnes, Hugues, et al.. (1979). Genetic Variants of Human Glucose-6-Phosphate Dehydrogenase in a Saharian and Pygmy Family. Human Heredity. 29(1). 50–56. 2 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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