Michael Seidl

9.6k total citations · 1 hit paper
241 papers, 6.0k citations indexed

About

Michael Seidl is a scholar working on Organic Chemistry, Inorganic Chemistry and Plant Science. According to data from OpenAlex, Michael Seidl has authored 241 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Organic Chemistry, 90 papers in Inorganic Chemistry and 79 papers in Plant Science. Recurrent topics in Michael Seidl's work include Synthesis and characterization of novel inorganic/organometallic compounds (66 papers), Organometallic Complex Synthesis and Catalysis (61 papers) and Plant-Microbe Interactions and Immunity (48 papers). Michael Seidl is often cited by papers focused on Synthesis and characterization of novel inorganic/organometallic compounds (66 papers), Organometallic Complex Synthesis and Catalysis (61 papers) and Plant-Microbe Interactions and Immunity (48 papers). Michael Seidl collaborates with scholars based in Germany, Netherlands and United States. Michael Seidl's co-authors include Bart P. H. J. Thomma, John P. Perdew, Manfred Scheer, Paola Gori‐Giorgi, Luigi Faino, Grardy C. M. van den Berg, Gábor Balázs, Guido Van den Ackerveken, Stefan Kurth and Xiaoqian Shi‐Kunne and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Michael Seidl

230 papers receiving 5.9k 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.

AlternariasectionAlternaria: Species,formae specialesor pathotypes?

2015 435 citations Michael Seidl, J.Z. Groenewald et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Seidl Germany	40	3.2k	1.6k	1.1k	1.0k	913	241	6.0k
Genji Kurisu Japan	36	761 0.2×	608 0.4×	262 0.2×	3.5k 3.5×	545 0.6×	152	4.7k
Takehiro Ohta Japan	47	555 0.2×	768 0.5×	152 0.1×	2.5k 2.5×	1.9k 2.0×	172	6.6k
William A. Cramer United States	49	1.4k 0.4×	618 0.4×	1.1k 1.0×	7.2k 7.2×	484 0.5×	162	8.2k
Gijs Schaftenaar Netherlands	16	238 0.1×	204 0.1×	877 0.8×	707 0.7×	557 0.6×	23	3.9k
Miroslav Z. Papiz United Kingdom	26	530 0.2×	230 0.1×	1.4k 1.3×	4.5k 4.5×	271 0.3×	49	6.3k
Michael Schaefer United States	30	280 0.1×	142 0.1×	475 0.4×	2.5k 2.5×	283 0.3×	54	3.6k
Joel Berendzen United States	26	304 0.1×	2.3k 1.5×	1.0k 0.9×	6.5k 6.4×	774 0.8×	41	8.9k
Gary J. Pielak United States	58	227 0.1×	1.4k 0.9×	859 0.8×	7.7k 7.7×	152 0.2×	209	9.9k
David L. Turner United Kingdom	38	191 0.1×	907 0.6×	744 0.7×	2.3k 2.3×	322 0.4×	228	5.4k
Peter G. Debrunner United States	41	280 0.1×	847 0.5×	525 0.5×	2.0k 2.0×	2.0k 2.2×	112	5.1k

Countries citing papers authored by Michael Seidl

Since Specialization

Citations

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

Fields of papers citing papers by Michael Seidl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Seidl

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hawkins, Nichola J., Elena Baraldi, Alan G. Buddie, et al.. (2025). Learning from fungicide resistance: Evolutionary insights to guide RNAi-based control of fungal crop pathogens. Fungal Biology Reviews. 53. 100443–100443. 1 indexed citations

Seidl, Michael, et al.. (2025). Extensive horizontal transfer of transposable elements shapes fungal mobilomes. Current Biology. 36(2). 355–369.e4. 1 indexed citations

Sato, Yukiyo, Grardy C. M. van den Berg, Parthasarathy Santhanam, et al.. (2025). Starship giant transposons dominate plastic genomic regions in a fungal plant pathogen and drive virulence evolution. Nature Communications. 16(1). 6806–6806. 6 indexed citations

Torres, David E., Vittorio Tracanna, Gabriel L. Fiorin, et al.. (2024). Implications of the three-dimensional chromatin organization for genome evolution in a fungal plant pathogen. Nature Communications. 15(1). 1701–1701. 12 indexed citations

Seidl, Michael, et al.. (2023). Uncoupled evolution of the Polycomb system and deep origin of non-canonical PRC1. Communications Biology. 6(1). 1144–1144. 11 indexed citations

Torres, David E., et al.. (2023). Nuclear genome organization in fungi: from gene folding to Rabl chromosomes. FEMS Microbiology Reviews. 47(3). 16 indexed citations

Löffelhardt, Birgit, Dagmar Kolb, Thomas Leisen, et al.. (2023). Convergent evolution of plant pattern recognition receptors sensing cysteine-rich patterns from three microbial kingdoms. Nature Communications. 14(1). 3621–3621. 18 indexed citations

Zhang, Xin, Roberta Noberini, Tiziana Bonaldi, Jérôme Collemare, & Michael Seidl. (2022). The histone code of the fungal genus Aspergillus uncovered by evolutionary and proteomic analyses. Microbial Genomics. 8(9). 7 indexed citations

Groenewald, J.Z., Sajeet Haridas, Kurt LaButti, et al.. (2022). Enemy or ally: a genomic approach to elucidate the lifestyle of Phyllosticta citrichinaensis. G3 Genes Genomes Genetics. 12(5). 2 indexed citations

10.

Torres, David E., Bart P. H. J. Thomma, & Michael Seidl. (2021). Transposable Elements Contribute to Genome Dynamics and Gene Expression Variation in the Fungal Plant Pathogen Verticillium dahliae. Genome Biology and Evolution. 13(7). 35 indexed citations

11.

Snelders, Nick C., Gabriella C. Petti, Grardy C. M. van den Berg, Michael Seidl, & Bart P. H. J. Thomma. (2021). An ancient antimicrobial protein co-opted by a fungal plant pathogen for in planta mycobiome manipulation. Proceedings of the National Academy of Sciences. 118(49). 55 indexed citations

12.

Rodenburg, Sander Y.A., et al.. (2021). Mining oomycete proteomes for metalloproteases leads to identification of candidate virulence factors in Phytophthorainfestans. Molecular Plant Pathology. 22(5). 551–563. 9 indexed citations

13.

Thines, Marco, Rahul Sharma, Sander Y.A. Rodenburg, et al.. (2020). The Genome of Peronospora belbahrii Reveals High Heterozygosity, a Low Number of Canonical Effectors, and TC-Rich Promoters. Molecular Plant-Microbe Interactions. 33(5). 742–753. 18 indexed citations

14.

Snelders, Nick C., Hanna Rövenich, Gabriella C. Petti, et al.. (2020). Microbiome manipulation by a soil-borne fungal plant pathogen using effector proteins. Nature Plants. 6(11). 1365–1374. 151 indexed citations

15.

Todisco, Stefano, et al.. (2020). NHCs as Neutral Donors towards Polyphosphorus Complexes. Chemistry - A European Journal. 26(69). 16251–16255. 17 indexed citations

16.

Shi‐Kunne, Xiaoqian, et al.. (2019). In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae. FEMS Microbiology Letters. 366(7). 12 indexed citations

17.

Shi‐Kunne, Xiaoqian, et al.. (2019). The Genome of the Fungal Pathogen Verticillium dahliae Reveals Extensive Bacterial to Fungal Gene Transfer. Genome Biology and Evolution. 11(3). 855–868. 17 indexed citations

18.

Rodenburg, Sander Y.A., Michael Seidl, Howard S. Judelson, et al.. (2019). Metabolic Model of thePhytophthora infestans-Tomato Interaction Reveals Metabolic Switches during Host Colonization. mBio. 10(4). 32 indexed citations

19.

Rodenburg, Sander Y.A., Michael Seidl, Dick de Ridder, & Francine Govers. (2017). Genome‐wide characterization of Phytophthora infestans metabolism: a systems biology approach. Molecular Plant Pathology. 19(6). 1403–1413. 27 indexed citations

20.

Faino, Luigi, Michael Seidl, Xiaoqian Shi‐Kunne, et al.. (2016). Transposons passively and actively contribute to evolution of the two-speed genome of a fungal pathogen. Genome Research. 26(8). 1091–1100. 192 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.

Explore authors with similar magnitude of impact