M. Kruijt

3.5k total citations · 1 hit paper
15 papers, 2.3k citations indexed

About

M. Kruijt is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M. Kruijt has authored 15 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 5 papers in Cell Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M. Kruijt's work include Plant-Microbe Interactions and Immunity (10 papers), Plant Pathogens and Fungal Diseases (5 papers) and Plant pathogens and resistance mechanisms (5 papers). M. Kruijt is often cited by papers focused on Plant-Microbe Interactions and Immunity (10 papers), Plant Pathogens and Fungal Diseases (5 papers) and Plant pathogens and resistance mechanisms (5 papers). M. Kruijt collaborates with scholars based in Netherlands, Vietnam and United States. M. Kruijt's co-authors include Jos M. Raaijmakers, Rodrigo Mendes, Gary L. Andersen, Menno van der Voort, Yvette M. Piceno, J.H.M. Schneider, Ester Dekkers, Peter A. H. M. Bakker, Todd Z. DeSantis and Irene de Bruijn and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Genetics.

In The Last Decade

M. Kruijt

14 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deciphering the Rhizosphere Microbiome for Disease-Suppressive Bacteria

2011 1.8k citations Rodrigo Mendes, M. Kruijt et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Kruijt Netherlands	13	1.9k	502	392	334	224	15	2.3k
J.H.M. Schneider Netherlands	15	2.0k 1.0×	450 0.9×	402 1.0×	377 1.1×	256 1.1×	24	2.4k
Frank Oliver Gloeckner Germany	4	1.4k 0.7×	425 0.8×	245 0.6×	411 1.2×	164 0.7×	4	1.8k
Paloma Durán Germany	7	1.5k 0.8×	411 0.8×	305 0.8×	364 1.1×	136 0.6×	9	1.9k
Juan E. Pérez‐Jaramillo Colombia	8	1.7k 0.9×	421 0.8×	256 0.7×	313 0.9×	183 0.8×	14	2.0k
Viviane Cordovez Netherlands	17	1.9k 1.0×	542 1.1×	447 1.1×	338 1.0×	130 0.6×	28	2.4k
Maarten H. Ryder Australia	27	1.6k 0.8×	444 0.9×	222 0.6×	189 0.6×	296 1.3×	77	2.0k
W. G. Dilantha Fernando Canada	24	1.7k 0.9×	514 1.0×	567 1.4×	168 0.5×	115 0.5×	71	2.0k
Paulo José Pereira Lima Teixeira United States	26	2.6k 1.3×	996 2.0×	344 0.9×	288 0.9×	153 0.7×	46	3.2k
Tim H. Mauchline United Kingdom	24	1.5k 0.8×	407 0.8×	251 0.6×	344 1.0×	210 0.9×	65	1.9k
Christin Zachow Austria	22	1.4k 0.7×	449 0.9×	429 1.1×	296 0.9×	81 0.4×	35	1.9k

Countries citing papers authored by M. Kruijt

Since Specialization

Citations

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

Fields of papers citing papers by M. Kruijt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kruijt

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

All Works

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15 of 15 papers shown

Kruijt, M.. (2013). Resistance of submerged groynes. Research Repository (Delft University of Technology).

Mendes, Rodrigo, M. Kruijt, Ino de Bruijn, et al.. (2013). Metagenomics of the rhizosphere microbiome to identify disease suppressive bacteria. Socio-Environmental Systems Modeling. 509–509. 1 indexed citations

Kruijt, M., et al.. (2011). Involvement of phenazines and lipopeptides in interactions between Pseudomonas species and Sclerotium rolfsii, causal agent of stem rot disease on groundnut. Journal of Applied Microbiology. 112(2). 390–403. 29 indexed citations

Mendes, Rodrigo, M. Kruijt, Irene de Bruijn, et al.. (2011). Deciphering the Rhizosphere Microbiome for Disease-Suppressive Bacteria. Science. 332(6033). 1097–1100. 1788 indexed citations breakdown →

Mendes, Rodrigo, et al.. (2011). Genetic and Phenotypic Diversity of Sclerotium rolfsii in Groundnut Fields in Central Vietnam. Plant Disease. 96(3). 389–397. 46 indexed citations

Kruijt, M., et al.. (2009). Functional, genetic and chemical characterization of biosurfactants produced by plant growth-promotingPseudomonas putida267. Journal of Applied Microbiology. 107(2). 546–556. 77 indexed citations

Tran, Ha Thi Thanh, M. Kruijt, & Jos M. Raaijmakers. (2007). Diversity and activity of biosurfactant-producing Pseudomonas in the rhizosphere of black pepper in Vietnam. Journal of Applied Microbiology. 104(3). 839–851. 35 indexed citations

Kruijt, M., M.J.D. de Kock, & P.J.G.M. de Wit. (2005). Receptor‐like proteins involved in plant disease resistance. Molecular Plant Pathology. 6(1). 85–97. 97 indexed citations

Kruijt, M., et al.. (2005). The Cf-4 and Cf-9 Resistance Genes Against Cladosporium fulvum are Conserved in Wild Tomato Species. Molecular Plant-Microbe Interactions. 18(9). 1011–1021. 36 indexed citations

10.

Wulff, Brande B. H., M. Kruijt, Peter L. Collins, et al.. (2004). Gene shuffling‐generated and natural variants of the tomato resistance gene Cf‐9 exhibit different auto‐necrosis‐inducing activities in Nicotiana species. The Plant Journal. 40(6). 942–956. 32 indexed citations

11.

Kruijt, M., B.F. Brandwagt, & P.J.G.M. de Wit. (2004). Rearrangements in the Cf-9 Disease Resistance Gene Cluster of Wild Tomato Have Resulted in Three Genes That Mediate Avr9 ResponsivenessSequence data from this article have been deposited with the GenBank Data Libraries under accession no. AY569331.. Genetics. 168(3). 1655–1663. 41 indexed citations

12.

Koelewijn, H.P., et al.. (2003). Genetic Evidence for Natural Hybridization between Species of Dioecious Ficus on Island Populations¹. Biotropica. 35(3). 333–343. 31 indexed citations

13.

Koelewijn, H.P., et al.. (2003). Genetic Evidence for Natural Hybridization between Species of Dioecious Ficus on Island Populations1. Biotropica. 35(3). 333–333. 30 indexed citations

14.

Wit, P.J.G.M. de, B.F. Brandwagt, Harrold A. van den Burg, et al.. (2002). The molecular basis of co-evolution between Cladosporium fulvum and tomato. Antonie van Leeuwenhoek. 81(1-4). 409–412. 15 indexed citations

15.

Hoorn, Renier A. L. van der, M. Kruijt, Ronelle Roth, et al.. (2001). Intragenic recombination generated two distinct Cf genes that mediate AVR9 recognition in the natural population of Lycopersicon pimpinellifolium. Proceedings of the National Academy of Sciences. 98(18). 10493–10498. 63 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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