Michael Feldbrügge

6.2k total citations
97 papers, 3.5k citations indexed

About

Michael Feldbrügge is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Michael Feldbrügge has authored 97 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 30 papers in Plant Science and 17 papers in Cell Biology. Recurrent topics in Michael Feldbrügge's work include Fungal and yeast genetics research (41 papers), RNA Research and Splicing (22 papers) and Photosynthetic Processes and Mechanisms (15 papers). Michael Feldbrügge is often cited by papers focused on Fungal and yeast genetics research (41 papers), RNA Research and Splicing (22 papers) and Photosynthetic Processes and Mechanisms (15 papers). Michael Feldbrügge collaborates with scholars based in Germany, United Kingdom and United States. Michael Feldbrügge's co-authors include Andreas Brachmann, Julian König, Regine Kahmann, Sebastian Baumann, Thomas Pohlmann, Kerstin Schipper, Kathi Zarnack, Christian Julius, Evelyn Vollmeister and Carl Haag and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Feldbrügge

93 papers receiving 3.5k citations

Peers

Michael Feldbrügge

PHARM

Michael Freitag United States

Charles S. Hoffman United States

Marı́a Molina Spain

Daniel J. Ebbole United States

Matthias Sipiczki Hungary

Oliver Valerius Germany

Yazmid Reyes-Domínguez Austria

Naweed I. Naqvi Singapore

Stefanie Pöggeler Germany

James A. Sweigard United States

Michael Freitag United States

Michael Feldbrügge

3.9k ×1.3

3.2k ×2.1

1.4k ×1.6

798 ×2.0

PHARM

328 ×0.9

Citations per year, relative to Michael Feldbrügge Michael Feldbrügge (= 1×) peers Michael Freitag

Countries citing papers authored by Michael Feldbrügge

Since Specialization

Citations

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

Fields of papers citing papers by Michael Feldbrügge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Feldbrügge

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Feldbrügge. A scholar is included among the top collaborators of Michael Feldbrügge 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 Feldbrügge. Michael Feldbrügge 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

Büchs, Jochen, Kerstin Schipper, Michael Feldbrügge, et al.. (2025). Tailoring the fatty acid profile of microbial triglycerides in Ustilago maydis by adapting the cultivation conditions. Bioresource Technology Reports. 30. 102119–102119.

Keller, Mario, François McNicoll, Daniela Bublak, et al.. (2024). A plant-specific clade of serine/arginine-rich proteins regulates RNA splicing homeostasis and thermotolerance in tomato. Nucleic Acids Research. 52(19). 11466–11480. 7 indexed citations

Smits, Sander H. J., et al.. (2024). Deciphering the RNA-binding protein network during endosomal mRNA transport. Proceedings of the National Academy of Sciences. 121(46). e2404091121–e2404091121. 2 indexed citations

Thieron, Hannah, Seomun Kwon, Karina Brinkrolf, et al.. (2024). Broad‐scale phenotyping in Arabidopsis reveals varied involvement of RNA interference across diverse plant‐microbe interactions. Plant Direct. 8(11). e70017–e70017. 2 indexed citations

Haag, Carl, et al.. (2023). The mRNA stability factor Khd4 defines a specific mRNA regulon for membrane trafficking in the pathogenUstilago maydis. Proceedings of the National Academy of Sciences. 120(34). e2301731120–e2301731120. 5 indexed citations

Kwon, Seomun, et al.. (2023). The RNA world of fungal pathogens. PLoS Pathogens. 19(11). e1011762–e1011762. 1 indexed citations

Tang, Kun, et al.. (2023). Engineering and Implementation of Synthetic Molecular Tools in the Basidiomycete Fungus Ustilago maydis. Journal of Fungi. 9(4). 480–480. 1 indexed citations

Schott‐Verdugo, Stephan, Jens Reiners, Lutz Schmitt, et al.. (2022). A MademoiseLLE domain binding platform links the key RNA transporter to endosomes. PLoS Genetics. 18(6). e1010269–e1010269. 5 indexed citations

Reichert, Andreas S., et al.. (2021). Linking transport and translation of mRNAs with endosomes and mitochondria. EMBO Reports. 22(10). e52445–e52445. 30 indexed citations

10.

Blank‐Landeshammer, Bernhard, et al.. (2020). The STRIPAK signaling complex regulates dephosphorylation of GUL1, an RNA-binding protein that shuttles on endosomes. PLoS Genetics. 16(9). e1008819–e1008819. 12 indexed citations

11.

Lee, Jung-Ho, et al.. (2020). Ustilago maydis Serves as a Novel Production Host for the Synthesis of Plant and Fungal Sesquiterpenoids. Frontiers in Microbiology. 11. 1655–1655. 15 indexed citations

12.

Frantzeskakis, Lamprinos, Ronny Kellner, Brad Day, et al.. (2019). Smut infection of perennial hosts: the genome and the transcriptome of the Brassicaceae smut fungus Thecaphora thlaspeos reveal functionally conserved and novel effectors. New Phytologist. 222(3). 1474–1492. 12 indexed citations

13.

Pohlmann, Thomas, et al.. (2019). The multi PAM 2 protein Upa2 functions as novel core component of endosomal mRNA transport. EMBO Reports. 20(9). e47381–e47381. 13 indexed citations

14.

Zhou, Lu, et al.. (2018). Cytoplasmic Transport Machinery of the SPF27 Homologue Num1 in Ustilago maydis. Scientific Reports. 8(1). 3611–3611. 13 indexed citations

15.

Riquelme, Meritxell, Jesús Aguirre, Salomón Bartnicki-Garcı́a, et al.. (2018). Fungal Morphogenesis, from the Polarized Growth of Hyphae to Complex Reproduction and Infection Structures. Microbiology and Molecular Biology Reviews. 82(2). 243 indexed citations

16.

Haag, Carl, Susan Boerner, Jernej Ule, et al.. (2018). The key protein of endosomal mRNP transport Rrm4 binds translational landmark sites of cargo mRNAs. EMBO Reports. 20(1). 32 indexed citations

17.

Niessing, Dierk, Ralf‐Peter Jansen, Thomas Pohlmann, & Michael Feldbrügge. (2017). mRNA transport in fungal top models. Wiley Interdisciplinary Reviews - RNA. 9(1). 32 indexed citations

18.

Haag, Carl, Thomas Pohlmann, & Michael Feldbrügge. (2017). The ESCRT regulator Did2 maintains the balance between long-distance endosomal transport and endocytic trafficking. PLoS Genetics. 13(4). e1006734–e1006734. 17 indexed citations

19.

Baumann, Sebastian, et al.. (2016). Endosomal assembly and transport of heteromeric septin complexes promote septin cytoskeleton formation. Journal of Cell Science. 129(14). 2778–2792. 45 indexed citations

20.

Vollmeister, Evelyn, Kerstin Schipper, Sebastian Baumann, et al.. (2011). Fungal development of the plant pathogenUstilago maydis. FEMS Microbiology Reviews. 36(1). 59–77. 112 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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