Marc Erhardt

3.7k total citations
66 papers, 2.7k citations indexed

About

Marc Erhardt is a scholar working on Genetics, Molecular Biology and Endocrinology. According to data from OpenAlex, Marc Erhardt has authored 66 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 34 papers in Molecular Biology and 20 papers in Endocrinology. Recurrent topics in Marc Erhardt's work include Bacterial Genetics and Biotechnology (32 papers), Lipid Membrane Structure and Behavior (18 papers) and Bacteriophages and microbial interactions (15 papers). Marc Erhardt is often cited by papers focused on Bacterial Genetics and Biotechnology (32 papers), Lipid Membrane Structure and Behavior (18 papers) and Bacteriophages and microbial interactions (15 papers). Marc Erhardt collaborates with scholars based in Germany, United States and Switzerland. Marc Erhardt's co-authors include Kelly T. Hughes, Keiichi Namba, Hanna M. Singer, Takanori Hirano, David F. Blair, Koushik Paul, Sebastian Felgner, Siegfried Weiß, Caroline Kühne and Manfred Rohde and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Marc Erhardt

62 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Marc Erhardt 1.4k 1.2k 655 635 352 66 2.7k
Ralf Koebnik 2.1k 1.6× 1.1k 0.9× 347 0.5× 452 0.7× 282 0.8× 126 5.8k
Paul G. Hitchen 3.0k 2.2× 688 0.6× 420 0.6× 785 1.2× 84 0.2× 69 4.3k
Jan‐Willem De Gier 3.3k 2.4× 2.0k 1.7× 382 0.6× 883 1.4× 140 0.4× 68 4.2k
Joyce E. Karlinsey 1.3k 0.9× 994 0.9× 622 0.9× 503 0.8× 53 0.2× 51 2.5k
Anthony W. Maresso 1.3k 1.0× 441 0.4× 312 0.5× 784 1.2× 195 0.6× 85 2.6k
Matthew Hobbs 1.8k 1.4× 1.5k 1.2× 685 1.0× 846 1.3× 59 0.2× 44 3.3k
Toshifumi Tomoyasu 3.5k 2.6× 1.6k 1.4× 544 0.8× 632 1.0× 86 0.2× 65 4.8k
Phillip D. Aldridge 1.1k 0.8× 917 0.8× 521 0.8× 423 0.7× 70 0.2× 46 1.9k
James C. Richards 2.5k 1.8× 651 0.6× 662 1.0× 551 0.9× 179 0.5× 157 5.0k
Albert Siryaporn 2.0k 1.5× 814 0.7× 293 0.4× 442 0.7× 340 1.0× 37 2.6k

Countries citing papers authored by Marc Erhardt

Since Specialization
Citations

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

Fields of papers citing papers by Marc Erhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Erhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Erhardt. A scholar is included among the top collaborators of Marc Erhardt 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 Marc Erhardt. Marc Erhardt 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.
Mann, Daniel, et al.. (2025). The structure of the complete extracellular bacterial flagellum reveals the mechanism of flagellin incorporation. Nature Microbiology. 10(7). 1741–1757. 2 indexed citations
2.
Erhardt, Marc, et al.. (2025). Building the bacterial flagellum: coordinating regulation, dynamic assembly, and function. Microbiology and Molecular Biology Reviews. 89(4). e0009222–e0009222.
3.
Ignatov, Dmitriy, Vivekanandan Shanmuganathan, Rina Ahmed-Begrich, et al.. (2025). RNA-binding protein YebC enhances translation of proline-rich amino acid stretches in bacteria. Nature Communications. 16(1). 6262–6262.
4.
Andrianova, Ekaterina P., Christian Goosmann, Fabienne F. V. Chevance, et al.. (2024). FlhE functions as a chaperone to prevent formation of periplasmic flagella in Gram-negative bacteria. Nature Communications. 15(1). 5921–5921. 3 indexed citations
5.
Hu, Haidai, Philipp F. Popp, Mònica Santiveri, et al.. (2023). Ion selectivity and rotor coupling of the Vibrio flagellar sodium-driven stator unit. Nature Communications. 14(1). 4411–4411. 16 indexed citations
6.
Erhardt, Marc, et al.. (2023). Quantifying Substrate Protein Secretion via the Type III Secretion System of the Bacterial Flagellum. Methods in molecular biology. 2715. 577–592. 1 indexed citations
7.
Charpentier, Emmanuelle, et al.. (2023). A versatile regulatory toolkit of arabinose-inducible artificial transcription factors for Enterobacteriaceae. Communications Biology. 6(1). 1005–1005.
8.
Erhardt, Marc, et al.. (2022). A guide for membrane potential measurements in Gram-negative bacteria using voltage-sensitive dyes. Microbiology. 168(9). 26 indexed citations
9.
Erhardt, Marc, et al.. (2021). Protein Export via the Type III Secretion System of the Bacterial Flagellum. Biomolecules. 11(2). 186–186. 28 indexed citations
10.
Gálvez, Eric J. C., et al.. (2021). Control of membrane barrier during bacterial type-III protein secretion. Nature Communications. 12(1). 3999–3999. 12 indexed citations
11.
Erhardt, Marc, et al.. (2021). Hook‐basal‐body assembly state dictates substrate specificity of the flagellar type‐III secretion system. Molecular Microbiology. 116(4). 1189–1200. 2 indexed citations
12.
Horstmann, Julia, Michele Lunelli, Caroline Kühne, et al.. (2020). Methylation of Salmonella Typhimurium flagella promotes bacterial adhesion and host cell invasion. Nature Communications. 11(1). 2013–2013. 87 indexed citations
13.
Santiveri, Mònica, Caroline Kühne, Navish Wadhwa, et al.. (2020). Structure and Function of Stator Units of the Bacterial Flagellar Motor. Cell. 183(1). 244–257.e16. 158 indexed citations
14.
Felgner, Sebastian, Vinay Pawar, Dino Kocijancic, et al.. (2019). The immunogenic potential of bacterial flagella for Salmonella‐mediated tumor therapy. International Journal of Cancer. 147(2). 448–460. 9 indexed citations
15.
Renault, Thibaud T., Tobias Bergmiller, Simon Rainville, et al.. (2017). Bacterial flagella grow through an injection-diffusion mechanism. eLife. 6. 66 indexed citations
16.
Chevance, Fabienne F. V., Willisa Liou, Thibaud T. Renault, et al.. (2017). Variability in bacterial flagella re-growth patterns after breakage. Scientific Reports. 7(1). 1282–1282. 21 indexed citations
17.
Renault, Thibaud T., Tobias Dietsche, Eric J. C. Gálvez, et al.. (2017). A flagellum-specific chaperone facilitates assembly of the core type III export apparatus of the bacterial flagellum. PLoS Biology. 15(8). e2002267–e2002267. 47 indexed citations
18.
Felgner, Sebastian, Dino Kocijancic, Michael Frahm, et al.. (2017). Engineered Salmonella enterica serovar Typhimurium overcomes limitations of anti-bacterial immunity in bacteria-mediated tumor therapy. OncoImmunology. 7(2). e1382791–e1382791. 54 indexed citations
19.
Erhardt, Marc, Eun A Kim, Takanori Hirano, et al.. (2017). Mechanism of type‐III protein secretion: Regulation of FlhA conformation by a functionally critical charged‐residue cluster. Molecular Microbiology. 104(2). 234–249. 48 indexed citations
20.
Ward, Elizabeth M., Thibaud T. Renault, Eun A Kim, et al.. (2017). Type‐III secretion pore formed by flagellar protein FliP. Molecular Microbiology. 107(1). 94–103. 25 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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