Andreas Diepold

2.1k total citations
44 papers, 1.4k citations indexed

About

Andreas Diepold is a scholar working on Genetics, Endocrinology and Molecular Biology. According to data from OpenAlex, Andreas Diepold has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 24 papers in Endocrinology and 13 papers in Molecular Biology. Recurrent topics in Andreas Diepold's work include Bacterial Genetics and Biotechnology (23 papers), Vibrio bacteria research studies (21 papers) and Yersinia bacterium, plague, ectoparasites research (17 papers). Andreas Diepold is often cited by papers focused on Bacterial Genetics and Biotechnology (23 papers), Vibrio bacteria research studies (21 papers) and Yersinia bacterium, plague, ectoparasites research (17 papers). Andreas Diepold collaborates with scholars based in Germany, United Kingdom and United States. Andreas Diepold's co-authors include Judith P. Armitage, Samuel Wagner, Guy R. Cornelis, Marlise Amstutz, Mikhail Kudryashev, Urs Jenal, Isabel Sorg, Sören Abel, Sherry L. Kuchma and George A. O’Toole and has published in prestigious journals such as Nature Communications, The EMBO Journal and Physical Review B.

In The Last Decade

Andreas Diepold

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Diepold Germany 20 741 644 531 257 165 44 1.4k
Phillip D. Aldridge United Kingdom 26 917 1.2× 521 0.8× 1.1k 2.0× 423 1.6× 139 0.8× 46 1.9k
Denis Duché France 18 733 1.0× 321 0.5× 912 1.7× 387 1.5× 163 1.0× 36 1.5k
Ingrid Guilvout France 22 1.0k 1.4× 564 0.9× 841 1.6× 317 1.2× 211 1.3× 37 1.6k
Gillian M. Fraser United Kingdom 22 1.2k 1.7× 525 0.8× 1.4k 2.7× 603 2.3× 143 0.9× 35 2.2k
David M. Raskin United States 9 985 1.3× 227 0.4× 1.2k 2.2× 423 1.6× 118 0.7× 20 1.6k
Marie‐Stéphanie Aschtgen France 17 476 0.6× 1.0k 1.6× 478 0.9× 174 0.7× 401 2.4× 25 1.5k
Margaret E. Daley Canada 12 437 0.6× 267 0.4× 427 0.8× 342 1.3× 167 1.0× 15 1.1k
Adam Redzej United Kingdom 13 518 0.7× 572 0.9× 702 1.3× 380 1.5× 333 2.0× 18 1.6k
Marc Erhardt Germany 31 1.2k 1.6× 655 1.0× 1.4k 2.6× 635 2.5× 191 1.2× 66 2.7k
Tiago R. D. Costa United Kingdom 18 611 0.8× 713 1.1× 851 1.6× 437 1.7× 408 2.5× 43 1.9k

Countries citing papers authored by Andreas Diepold

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Diepold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Diepold

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Diepold. A scholar is included among the top collaborators of Andreas Diepold 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 Andreas Diepold. Andreas Diepold 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.
Langenfeld, Katja, et al.. (2024). Pilotins are mobile T3SS components involved in assembly and substrate specificity of the bacterial type III secretion system. Molecular Microbiology. 121(2). 304–323. 2 indexed citations
2.
Glatter, Timo, et al.. (2023). A ParDE toxin–antitoxin system is responsible for the maintenance of the Yersinia virulence plasmid but not for type III secretion-associated growth inhibition. Frontiers in Cellular and Infection Microbiology. 13. 1166077–1166077. 5 indexed citations
3.
Nikolić, Ivan, et al.. (2023). Repertoire and abundance of secreted virulence factors shape the pathogenic capacity of Pseudomonas syringae pv. aptata. Frontiers in Microbiology. 14. 1205257–1205257. 3 indexed citations
4.
Carsten, Alexander, Roman Schmidt, Isabelle Jansen, et al.. (2022). MINFLUX imaging of a bacterial molecular machine at nanometer resolution. Methods and Applications in Fluorescence. 11(1). 15004–15004. 16 indexed citations
5.
6.
Langenfeld, Katja, et al.. (2020). LITESEC-T3SS - Light-controlled protein delivery into eukaryotic cells with high spatial and temporal resolution. Nature Communications. 11(1). 2381–2381. 18 indexed citations
7.
8.
Diepold, Andreas. (2019). Assembly and Post-assembly Turnover and Dynamics in the Type III Secretion System. Current topics in microbiology and immunology. 427. 35–66. 12 indexed citations
9.
Richardson, Charles J., et al.. (2018). Single-molecule tracking in live Yersinia enterocolitica reveals distinct cytosolic complexes of injectisome subunits. Integrative Biology. 10(9). 502–515. 19 indexed citations
10.
Diepold, Andreas, Erdinç Sezgin, Miles K. Huseyin, et al.. (2017). A dynamic and adaptive network of cytosolic interactions governs protein export by the T3SS injectisome. Nature Communications. 8(1). 15940–15940. 57 indexed citations
11.
Baker, Amy E., Andreas Diepold, Sherry L. Kuchma, et al.. (2016). PilZ Domain Protein FlgZ Mediates Cyclic Di-GMP-Dependent Swarming Motility Control in Pseudomonas aeruginosa. Journal of Bacteriology. 198(13). 1837–1846. 86 indexed citations
12.
Diepold, Andreas, Katharina Trunk, Michael Porter, et al.. (2015). Visualization of the Serratia Type VI Secretion System Reveals Unprovoked Attacks and Dynamic Assembly. Cell Reports. 12(12). 2131–2142. 57 indexed citations
13.
Diepold, Andreas & Judith P. Armitage. (2015). Type III secretion systems: the bacterial flagellum and the injectisome. Philosophical Transactions of the Royal Society B Biological Sciences. 370(1679). 20150020–20150020. 158 indexed citations
14.
Diepold, Andreas, Mikhail Kudryashev, Nicolas J. Delalez, Richard M. Berry, & Judith P. Armitage. (2015). Composition, Formation, and Regulation of the Cytosolic C-ring, a Dynamic Component of the Type III Secretion Injectisome. PLoS Biology. 13(1). e1002039–e1002039. 86 indexed citations
15.
Kudryashev, Mikhail, Andreas Diepold, Marlise Amstutz, et al.. (2014). Y ersinia enterocolitica type III secretion injectisomes form regularly spaced clusters, which incorporate new machines upon activation. Molecular Microbiology. 95(5). 875–884. 25 indexed citations
16.
Diepold, Andreas & Samuel Wagner. (2014). Assembly of the bacterial type III secretion machinery. FEMS Microbiology Reviews. 38(4). 802–822. 119 indexed citations
17.
18.
Diepold, Andreas, Marlise Amstutz, Sören Abel, et al.. (2010). Deciphering the assembly of the Yersinia type III secretion injectisome. The EMBO Journal. 29(11). 1928–1940. 129 indexed citations
19.
Diepold, Andreas, Guangtao Li, William J. Lennarz, Thorsten Nürnberger, & Frédéric Brunner. (2007). The Arabidopsis AtPNG1 gene encodes a peptide: N‐glycanase. The Plant Journal. 52(1). 94–104. 41 indexed citations
20.
Demmel, F., et al.. (2006). Temperature dependence of the de Gennes narrowing in liquid rubidium. Physical Review B. 73(10). 27 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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