Sebastian Pfeilmeier

790 total citations
18 papers, 516 citations indexed

About

Sebastian Pfeilmeier is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Sebastian Pfeilmeier has authored 18 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Sebastian Pfeilmeier's work include Plant-Microbe Interactions and Immunity (14 papers), Plant Pathogenic Bacteria Studies (12 papers) and Plant Parasitism and Resistance (7 papers). Sebastian Pfeilmeier is often cited by papers focused on Plant-Microbe Interactions and Immunity (14 papers), Plant Pathogenic Bacteria Studies (12 papers) and Plant Parasitism and Resistance (7 papers). Sebastian Pfeilmeier collaborates with scholars based in United Kingdom, Netherlands and Switzerland. Sebastian Pfeilmeier's co-authors include Jacob G. Malone, Delphine L. Caly, Julia A. Vorholt, Miriam Bortfeld‐Miller, Shinichi Sunagawa, Christopher M. Field, Gabriella C. Petti, Cyril Zipfel, Benjamin J. Daniel and Corina Weis and has published in prestigious journals such as Current Biology, Scientific Reports and New Phytologist.

In The Last Decade

Sebastian Pfeilmeier

17 papers receiving 509 citations

Author Peers

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

Author Last Decade Papers Cites
Sebastian Pfeilmeier 411 177 57 39 36 18 516
Jana Čechová 275 0.7× 171 1.0× 75 1.3× 38 1.0× 23 0.6× 41 406
Ka‐Wai Ma 508 1.2× 181 1.0× 61 1.1× 37 0.9× 35 1.0× 13 638
Macarena Marín 396 1.0× 238 1.3× 33 0.6× 52 1.3× 30 0.8× 26 575
Pablo S. Torres 778 1.9× 203 1.1× 121 2.1× 29 0.7× 20 0.6× 13 876
Miroslav Baránek 562 1.4× 243 1.4× 141 2.5× 59 1.5× 44 1.2× 46 658
Anne Fenton 558 1.4× 229 1.3× 84 1.5× 70 1.8× 60 1.7× 9 672
Doron Teper 720 1.8× 195 1.1× 67 1.2× 31 0.8× 31 0.9× 35 803
Esther J. Chen 249 0.6× 328 1.9× 86 1.5× 62 1.6× 39 1.1× 11 540
Angélique Berger 346 0.8× 137 0.8× 77 1.4× 72 1.8× 139 3.9× 19 460
Sandhya Rawat 710 1.7× 224 1.3× 105 1.8× 14 0.4× 17 0.5× 12 787

Countries citing papers authored by Sebastian Pfeilmeier

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Pfeilmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Pfeilmeier

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

All Works

18 of 18 papers shown
1.
Hulten, Marieke van, et al.. (2025). Arabidopsis CNL receptor SUT1 confers immunity in hydathodes against the vascular pathogen Xanthomonas campestris pv. campestris. PLoS Pathogens. 21(6). e1013256–e1013256. 1 indexed citations
2.
Pfeilmeier, Sebastian, et al.. (2025). Non‐Invasive, Bioluminescence‐Based Visualisation and Quantification of Bacterial Infections in Arabidopsis Over Time. Molecular Plant Pathology. 26(2). e70055–e70055. 2 indexed citations
3.
4.
Pfeilmeier, Sebastian, et al.. (2025). Hydathodes at the forefront of plant immunity against vascular pathogens. Current Opinion in Plant Biology. 88. 102822–102822.
5.
Pfeilmeier, Sebastian, Gabriella C. Petti, Anna Sintsova, et al.. (2024). Plant microbiota feedbacks through dose-responsive expression of general non-self response genes. Nature Plants. 11(1). 74–89. 5 indexed citations
6.
Berg, Jeroen A., et al.. (2024). ScAnalyzer: an image processing tool to monitor plant disease symptoms and pathogen spread in Arabidopsis thaliana leaves. Plant Methods. 20(1). 80–80. 5 indexed citations
7.
Pfeilmeier, Sebastian, Miriam Bortfeld‐Miller, Lucas Hemmerle, et al.. (2024). Leaf microbiome dysbiosis triggered by T2SS-dependent enzyme secretion from opportunistic Xanthomonas pathogens. Nature Microbiology. 9(1). 136–149. 28 indexed citations
8.
Pfeilmeier, Sebastian, et al.. (2021). Pseudomonas syringae addresses distinct environmental challenges during plant infection through the coordinated deployment of polysaccharides. Journal of Experimental Botany. 73(7). 2206–2221. 12 indexed citations
9.
Kiefer, Patrick, Christopher M. Field, Lucas Hemmerle, et al.. (2021). A general non-self response as part of plant immunity. Nature Plants. 7(5). 696–705. 46 indexed citations
10.
Pfeilmeier, Sebastian, Gabriella C. Petti, Miriam Bortfeld‐Miller, et al.. (2021). The plant NADPH oxidase RBOHD is required for microbiota homeostasis in leaves. Nature Microbiology. 6(7). 852–864. 98 indexed citations
11.
Kuhn, Hannah, Sebastian Pfeilmeier, Cyril Zipfel, et al.. (2019). Widely Conserved Attenuation of Plant MAMP-Induced Calcium Influx by Bacteria Depends on Multiple Virulence Factors and May Involve Desensitization of Host Pattern Recognition Receptors. Molecular Plant-Microbe Interactions. 32(5). 608–621. 7 indexed citations
12.
Arrebola, Eva, Miguel Redondo‐Nieto, Francisco Martínez‐Granero, et al.. (2018). AmrZ is a major determinant of c-di-GMP levels in Pseudomonas fluorescens F113. Scientific Reports. 8(1). 1979–1979. 26 indexed citations
13.
Pfeilmeier, Sebastian, Jeoffrey George, Sonali Roy, et al.. (2018). Expression of the Arabidopsis thaliana immune receptor EFR in Medicago truncatula reduces infection by a root pathogenic bacterium, but not nitrogen‐fixing rhizobial symbiosis. Plant Biotechnology Journal. 17(3). 569–579. 45 indexed citations
14.
Little, Richard, Lucia Grenga, Gerhard Saalbach, et al.. (2016). Adaptive Remodeling of the Bacterial Proteome by Specific Ribosomal Modification Regulates Pseudomonas Infection and Niche Colonisation. PLoS Genetics. 12(2). e1005837–e1005837. 45 indexed citations
15.
Pfeilmeier, Sebastian, Delphine L. Caly, & Jacob G. Malone. (2016). Bacterial pathogenesis of plants: future challenges from a microbial perspective. Molecular Plant Pathology. 17(8). 1298–1313. 85 indexed citations
16.
Pfeilmeier, Sebastian, et al.. (2015). High levels of cyclic‐di‐ GMP in plant‐associated P seudomonas correlate with evasion of plant immunity. Molecular Plant Pathology. 17(4). 521–531. 37 indexed citations
17.
Weis, Corina, U. Hildebrandt, Thomas Hoffmann, et al.. (2014). CYP83A1 is required for metabolic compatibility of Arabidopsis with the adapted powdery mildew fungus Erysiphe cruciferarum. New Phytologist. 202(4). 1310–1319. 36 indexed citations
18.
Weis, Corina, Sebastian Pfeilmeier, Erich Glawischnig, et al.. (2013). Co‐immunoprecipitation‐based identification of putative BAX INHIBITOR ‐1‐interacting proteins involved in cell death regulation and plant–powdery mildew interactions. Molecular Plant Pathology. 14(8). 791–802. 35 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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