Mark Kwaaitaal

3.2k total citations
32 papers, 2.4k citations indexed

About

Mark Kwaaitaal is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Mark Kwaaitaal has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 13 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Mark Kwaaitaal's work include Plant-Microbe Interactions and Immunity (16 papers), Plant Reproductive Biology (9 papers) and Plant Molecular Biology Research (8 papers). Mark Kwaaitaal is often cited by papers focused on Plant-Microbe Interactions and Immunity (16 papers), Plant Reproductive Biology (9 papers) and Plant Molecular Biology Research (8 papers). Mark Kwaaitaal collaborates with scholars based in Germany, Netherlands and Denmark. Mark Kwaaitaal's co-authors include Sacco C. de Vries, Ralph Panstruga, Eugenia Russinova, C.W. Vroemen, Andreas P. Mordhorst, Joanne Chory, Yanhai Yin, J.W. Borst, Ana I. Caño‐Delgado and Hans Thordal‐Christensen and has published in prestigious journals such as Nature, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Mark Kwaaitaal

31 papers receiving 2.4k citations

Peers

Mark Kwaaitaal

EEBS

BIOTE

David Scheuring Germany

Wenwei Lin United States

Marie‐Cécile Caillaud France

Eunsook Park United States

Ian Moore United Kingdom

Tamara Pečenková Czechia

Antje Heese United States

Gildas Bourdais United Kingdom

Vardis Ntoukakis United Kingdom

Yangnan Gu United States

David Scheuring Germany

Mark Kwaaitaal

944 ×0.4

1.0k ×0.8

606 ×1.8

82 ×1.5

EEBS

27 ×0.7

BIOTE

Citations per year, relative to Mark Kwaaitaal Mark Kwaaitaal (= 1×) peers David Scheuring

Countries citing papers authored by Mark Kwaaitaal

Since Specialization

Citations

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

Fields of papers citing papers by Mark Kwaaitaal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Kwaaitaal

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

All Works

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20 of 20 papers shown

Maio, Francesca, Ana P. Luna, Mark Kwaaitaal, et al.. (2025). A SUMO interacting motif in the replication initiator protein of tomato yellow leaf curl virus is required for viral replication. Journal of Virology. 99(12). e0128625–e0128625.

Dermauw, Wannes, Aris Ilias, Geert Baggerman, et al.. (2023). Interaction of Whitefly Effector G4 with Tomato Proteins Impacts Whitefly Performance. Molecular Plant-Microbe Interactions. 37(2). 98–111. 2 indexed citations

Beerens, Bas, et al.. (2021). The protein modifier SUMO is critical for integrity of the Arabidopsis shoot apex at warm ambient temperatures. Journal of Experimental Botany. 4 indexed citations

Pennington, Helen G., Rhian Jones, Seomun Kwon, et al.. (2019). The fungal ribonuclease-like effector protein CSEP0064/BEC1054 represses plant immunity and interferes with degradation of host ribosomal RNA. PLoS Pathogens. 15(3). e1007620–e1007620. 104 indexed citations

Kwaaitaal, Mark, et al.. (2018). The SUMO Conjugation Complex Self-Assembles into Nuclear Bodies Independent of SIZ1 and COP1. PLANT PHYSIOLOGY. 179(1). 168–183. 19 indexed citations

Kuhn, Hannah, Justine Lorek, Mark Kwaaitaal, et al.. (2017). Key Components of Different Plant Defense Pathways Are Dispensable for Powdery Mildew Resistance of the Arabidopsis mlo2 mlo6 mlo12 Triple Mutant. Frontiers in Plant Science. 8. 1006–1006. 34 indexed citations

Kwaaitaal, Mark, et al.. (2017). The plant membrane surrounding powdery mildew haustoria shares properties with the endoplasmic reticulum membrane. Journal of Experimental Botany. 68(21-22). 5731–5743. 32 indexed citations

Kuhn, Hannah, et al.. (2016). Biotrophy at Its Best: Novel Findings and Unsolved Mysteries of the Arabidopsis-Powdery Mildew Pathosystem. PubMed. 14. e0184–e0184. 39 indexed citations

Kwaaitaal, Mark, et al.. (2014). Comparative Analysis of MAMP-induced Calcium Influx in Arabidopsis Seedlings and Protoplasts. Plant and Cell Physiology. 55(10). 1813–1825. 22 indexed citations

10.

Zhang, Wenjing, et al.. (2013). A component of the Sec61 ER protein transporting pore is required for plant susceptibility to powdery mildew. Frontiers in Plant Science. 4. 127–127. 17 indexed citations

11.

Yun, Hye Sup, Mark Kwaaitaal, Naohiro Kato, et al.. (2013). Requirement of Vesicle-Associated Membrane Protein 721 and 722 for Sustained Growth during Immune Responses in Arabidopsis. Molecules and Cells. 35(6). 481–488. 47 indexed citations

12.

Schmidt, Sarah M., et al.. (2013). Interaction of a B lumeria graminis f. sp. hordei effector candidate with a barley ARF‐GAP suggests that host vesicle trafficking is a fungal pathogenicity target. Molecular Plant Pathology. 15(6). 535–549. 67 indexed citations

13.

Buhot, Nathalie, Mark Kwaaitaal, Per Fahlberg, et al.. (2013). Arabidopsis Phospholipase Dδ Is Involved in Basal Defense and Nonhost Resistance to Powdery Mildew Fungi . PLANT PHYSIOLOGY. 163(2). 896–906. 97 indexed citations

14.

Kwaaitaal, Mark, et al.. (2012). On the ligand binding profile and desensitization of plant ionotropic glutamate receptor (iGluR)-like channels functioning in MAMP-triggered Ca²⁺influx. Plant Signaling & Behavior. 7(11). 1373–1377. 5 indexed citations

15.

Kwaaitaal, Mark, Marieke Schor, Mark A. Hink, Antonie J. W. G. Visser, & Sacco C. de Vries. (2011). Fluorescence Correlation Spectroscopy and Fluorescence Recovery After Photobleaching to Study Receptor Kinase Mobility In Planta. Methods in molecular biology. 779. 225–242. 7 indexed citations

16.

Karlova, Rumyana, Sjef Boeren, Walter Van Dongen, et al.. (2008). Identification of in vitro phosphorylation sites in the Arabidopsis thaliana somatic embryogenesis receptor‐like kinases. PROTEOMICS. 9(2). 368–379. 49 indexed citations

17.

Kwaaitaal, Mark & Sacco C. de Vries. (2007). The SERK1 gene is expressed in procambium and immature vascular cells. Journal of Experimental Botany. 58(11). 2887–2896. 45 indexed citations

18.

Kwaaitaal, Mark, Sacco C. de Vries, & Eugenia Russinova. (2005). Arabidopsis thaliana Somatic Embryogenesis Receptor Kinase 1 protein is present in sporophytic and gametophytic cells and undergoes endocytosis. PROTOPLASMA. 226(1-2). 55–65. 42 indexed citations

19.

Russinova, Eugenia, J.W. Borst, Mark Kwaaitaal, et al.. (2004). Heterodimerization and Endocytosis of Arabidopsis Brassinosteroid Receptors BRI1 and AtSERK3 (BAK1). The Plant Cell. 16(12). 3216–3229. 370 indexed citations

20.

Vroemen, C.W., et al.. (2003). The CUP-SHAPED COTYLEDON3 Gene Is Required for Boundary and Shoot Meristem Formation in Arabidopsis. The Plant Cell. 15(7). 1563–1577. 389 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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