Remco Stam

3.9k total citations · 1 hit paper
49 papers, 1.6k citations indexed

About

Remco Stam is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Remco Stam has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 19 papers in Cell Biology and 7 papers in Molecular Biology. Recurrent topics in Remco Stam's work include Plant-Microbe Interactions and Immunity (31 papers), Plant Pathogens and Resistance (20 papers) and Plant Pathogens and Fungal Diseases (19 papers). Remco Stam is often cited by papers focused on Plant-Microbe Interactions and Immunity (31 papers), Plant Pathogens and Resistance (20 papers) and Plant Pathogens and Fungal Diseases (19 papers). Remco Stam collaborates with scholars based in Germany, United Kingdom and United States. Remco Stam's co-authors include Edgar Huitema, Julietta Jupe, Kurt Lamour, Andrew J.M. Howden, Aurélien Tellier, Jenny Morris, Pete E. Hedley, Bruce A. McDonald, Ralph Hückelhoven and Petra C. Boevink and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Remco Stam

47 papers receiving 1.6k citations

Hit Papers

Alternaria diseases on potato and tomato 2024 2026 2025 2024 10 20 30
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.

  1. Alternaria diseases on potato and tomato
    2024 37 citations Remco Stam et al. Molecular Plant Pathology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Remco Stam Germany 21 1.5k 434 335 109 106 49 1.6k
Ricardo Oliva Philippines 23 2.2k 1.5× 493 1.1× 438 1.3× 79 0.7× 39 0.4× 63 2.3k
N. D. Havis United Kingdom 20 1.3k 0.9× 484 1.1× 238 0.7× 93 0.9× 208 2.0× 64 1.4k
Klaas Bouwmeester Netherlands 22 1.8k 1.2× 268 0.6× 478 1.4× 99 0.9× 35 0.3× 44 1.9k
Yasuhiro Ishiga Japan 24 1.6k 1.1× 184 0.4× 585 1.7× 151 1.4× 71 0.7× 64 1.8k
Maggie Levy Israel 19 1.1k 0.7× 198 0.5× 757 2.3× 141 1.3× 116 1.1× 32 1.4k
Maria do Rosário Félix Portugal 19 741 0.5× 307 0.7× 181 0.5× 58 0.5× 48 0.5× 51 918
Serenella A. Sukno Spain 22 1.3k 0.9× 847 2.0× 583 1.7× 58 0.5× 108 1.0× 44 1.5k
Patricia Manosalva United States 16 1.2k 0.9× 128 0.3× 428 1.3× 107 1.0× 48 0.5× 28 1.4k
Lisong Ma China 21 1.5k 1.0× 663 1.5× 302 0.9× 54 0.5× 66 0.6× 49 1.6k
Seonghee Lee United States 24 1.3k 0.9× 276 0.6× 568 1.7× 32 0.3× 49 0.5× 81 1.5k

Countries citing papers authored by Remco Stam

Since Specialization
Citations

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

Fields of papers citing papers by Remco Stam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Remco Stam

This figure shows the co-authorship network connecting the top 25 collaborators of Remco Stam. A scholar is included among the top collaborators of Remco Stam 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 Remco Stam. Remco Stam 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.
Huang, Pu, et al.. (2025). Zymoseptoria tritici Shows Local Differences in Within-Field Diversity and Effector Variation. Molecular Plant-Microbe Interactions. 38(3). 385–399.
2.
Khafif, Mehdi, et al.. (2025). Neutral transcriptome rewiring promotes quantitative disease resistance evolvability at the species level. The Plant Cell. 37(6). 1 indexed citations
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Oubounyt, Mhaned, Michael Gigl, Jan Baumbach, et al.. (2023). Laminarin-triggered defence responses are geographically dependent in natural populations of Solanum chilense. Journal of Experimental Botany. 74(10). 3240–3254. 10 indexed citations
7.
Messerer, Maxim, Klaus Mayer, Christine Wurmser, et al.. (2023). Barley shows reduced Fusarium head blight under drought and modular expression of differentially expressed genes under combined stress. Journal of Experimental Botany. 74(21). 6820–6835. 2 indexed citations
8.
Wolters, Pieter J., Vivianne G. A. A. Vleeshouwers, Åsa Lankinen, et al.. (2022). Whole‐genome sequencing elucidates the species‐wide diversity and evolution of fungicide resistance in the early blight pathogen Alternaria solani. Evolutionary Applications. 15(10). 1605–1620. 12 indexed citations
9.
Kemen, Eric, et al.. (2022). Distinct Phyllosphere Microbiome of Wild Tomato Species in Central Peru upon Dysbiosis. Microbial Ecology. 85(1). 168–183. 14 indexed citations
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Stam, Remco, Pierre Gladieux, Boris A. Vinatzer, et al.. (2021). Population Genomic- and Phylogenomic-Enabled Advances to Increase Insight Into Pathogen Biology and Epidemiology. Phytopathology. 111(1). 8–11. 5 indexed citations
12.
Everhart, Sydney E., et al.. (2020). Population Genomics of Filamentous Plant Pathogens—A Brief Overview of Research Questions, Approaches, and Pitfalls. Phytopathology. 111(1). 12–22. 9 indexed citations
13.
Stam, Remco, Tetyana Nosenko, Anja C. Hörger, et al.. (2019). The de Novo Reference Genome and Transcriptome Assemblies of the Wild Tomato Species Solanum chilense Highlights Birth and Death of NLR Genes Between Tomato Species. G3 Genes Genomes Genetics. 9(12). 3933–3941. 31 indexed citations
14.
Stam, Remco, Gustavo A. Silva‐Arias, & Aurélien Tellier. (2019). Subsets of NLR genes show differential signatures of adaptation during colonization of new habitats. New Phytologist. 224(1). 367–379. 45 indexed citations
15.
Stam, Remco & Bruce A. McDonald. (2018). When resistance gene pyramids are not durable—the role of pathogen diversity. Molecular Plant Pathology. 19(3). 521–524. 59 indexed citations
16.
Mondragón‐Palomino, Mariana, et al.. (2017). Diversification of defensins and NLRs in Arabidopsis species by different evolutionary mechanisms. BMC Evolutionary Biology. 17(1). 255–255. 26 indexed citations
17.
Dong, Suomeng, Remco Stam, Liliana M. Cano, et al.. (2014). Effector Specialization in a Lineage of the Irish Potato Famine Pathogen. Science. 343(6170). 552–555. 160 indexed citations
18.
Stam, Remco, Julietta Jupe, Andrew J.M. Howden, et al.. (2013). Correction: Identification and Characterisation CRN Effectors in Phytophthora capsici Shows Modularity and Functional Diversity. PLoS ONE. 8(4). 21 indexed citations
19.
Stam, Remco, et al.. (2013). Characterization of cell death inducing Phytophthora capsici CRN effectors suggests diverse activities in the host nucleus. Frontiers in Plant Science. 4. 387–387. 47 indexed citations
20.
Lamour, Kurt, Remco Stam, Julietta Jupe, & Edgar Huitema. (2011). The oomycete broad‐host‐range pathogen Phytophthora capsici. Molecular Plant Pathology. 13(4). 329–337. 332 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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