Matthias P. Machner

2.8k total citations
34 papers, 2.1k citations indexed

About

Matthias P. Machner is a scholar working on Endocrinology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Matthias P. Machner has authored 34 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, 19 papers in Molecular Biology and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Matthias P. Machner's work include Legionella and Acanthamoeba research (23 papers), Neonatal Health and Biochemistry (8 papers) and Vibrio bacteria research studies (7 papers). Matthias P. Machner is often cited by papers focused on Legionella and Acanthamoeba research (23 papers), Neonatal Health and Biochemistry (8 papers) and Vibrio bacteria research studies (7 papers). Matthias P. Machner collaborates with scholars based in United States, Spain and Germany. Matthias P. Machner's co-authors include Ralph R. Isberg, Gerald Hammond, Tamás Balla, Andrew H. Gaspar, M. Ramona Neunuebel, Yi‐Han Lin, Chen Yang, Dirk W. Heinz, Jürgen Wehland and Wolf‐Dieter Schubert and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthias P. Machner

34 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias P. Machner United States 19 1.1k 991 527 458 263 34 2.1k
Mauricio R. Terebiznik Canada 24 880 0.8× 410 0.4× 461 0.9× 399 0.9× 261 1.0× 45 2.0k
Shaeri Mukherjee United States 17 634 0.6× 404 0.4× 235 0.4× 325 0.7× 183 0.7× 29 1.1k
Raymond Hellio France 23 664 0.6× 387 0.4× 297 0.6× 291 0.6× 287 1.1× 34 1.9k
Alejandro P. Heuck United States 24 1.3k 1.2× 156 0.2× 349 0.7× 201 0.4× 174 0.7× 33 2.2k
Jörg Selzer Germany 12 1.1k 1.0× 269 0.3× 845 1.6× 322 0.7× 219 0.8× 14 2.5k
André Catic United States 20 1.1k 1.0× 107 0.1× 555 1.1× 221 0.5× 258 1.0× 38 2.0k
Jennifer Chua United States 18 956 0.8× 242 0.2× 686 1.3× 418 0.9× 1.2k 4.4× 33 2.6k
K.‐A. Karlsson Sweden 31 2.0k 1.7× 458 0.5× 641 1.2× 209 0.5× 443 1.7× 57 3.1k
Frédéric Mallard France 17 995 0.9× 236 0.2× 264 0.5× 952 2.1× 140 0.5× 27 2.1k
Walter Berón Argentina 18 813 0.7× 280 0.3× 232 0.4× 715 1.6× 812 3.1× 29 2.1k

Countries citing papers authored by Matthias P. Machner

Since Specialization
Citations

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

Fields of papers citing papers by Matthias P. Machner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias P. Machner. 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 Matthias P. Machner. The network helps show where Matthias P. Machner may publish in the future.

Co-authorship network of co-authors of Matthias P. Machner

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias P. Machner. A scholar is included among the top collaborators of Matthias P. Machner 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 Matthias P. Machner. Matthias P. Machner 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.
Lehman, Stephanie S., Chad D. Williamson, Trisha Tucholski, et al.. (2024). The Legionella pneumophila effector DenR hijacks the host NRas proto-oncoprotein to downregulate MAPK signaling. Cell Reports. 43(4). 114033–114033. 2 indexed citations
2.
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Cheng, Eric, Dorjbal Dorjsuren, Stephanie S. Lehman, et al.. (2022). A Comprehensive Phenotypic Screening Strategy to Identify Modulators of Cargo Translocation by the Bacterial Type IVB Secretion System. mBio. 13(2). e0024022–e0024022. 6 indexed citations
5.
Kim, Byoungkwan, et al.. (2021). A multiplex CRISPR interference tool for virulence gene interrogation in Legionella pneumophila. Communications Biology. 4(1). 157–157. 18 indexed citations
6.
Lee, Pei‐Chung & Matthias P. Machner. (2018). The Legionella Effector Kinase LegK7 Hijacks the Host Hippo Pathway to Promote Infection. Cell Host & Microbe. 24(3). 429–438.e6. 46 indexed citations
7.
Yu, Xiaobo, Kristi Barker, Jeffrey L. Caplan, et al.. (2018). Legionella effector AnkX interacts with host nuclear protein PLEKHN1. BMC Microbiology. 18(1). 5–5. 14 indexed citations
8.
Lin, Yi‐Han, María Lucas, Guillermo Abascal-Palacios, et al.. (2018). RavN is a member of a previously unrecognized group of Legionella pneumophila E3 ubiquitin ligases. PLoS Pathogens. 14(2). e1006897–e1006897. 32 indexed citations
9.
Rojas, Adriana L., Chad D. Williamson, David C. Gershlick, et al.. (2017). Molecular mechanism for the subversion of the retromer coat by the Legionella effector RidL. Proceedings of the National Academy of Sciences. 114(52). E11151–E11160. 33 indexed citations
10.
Qiu, Ji, et al.. (2017). Discovering Protein‐Protein Interactions Using Nucleic Acid Programmable Protein Arrays. Current Protocols in Cell Biology. 74(1). 15.21.1–15.21.14. 6 indexed citations
11.
Lin, Yi‐Han, et al.. (2015). Host Cell-catalyzed S-Palmitoylation Mediates Golgi Targeting of the Legionella Ubiquitin Ligase GobX. Journal of Biological Chemistry. 290(42). 25766–25781. 51 indexed citations
12.
Lucas, María, Andrew H. Gaspar, Chiara Pallara, et al.. (2014). Structural basis for the recruitment and activation of the Legionella phospholipase VipD by the host GTPase Rab5. Proceedings of the National Academy of Sciences. 111(34). E3514–23. 39 indexed citations
13.
Chen, Yang, Igor Tascón, M. Ramona Neunuebel, et al.. (2013). Structural Basis for Rab1 De-AMPylation by the Legionella pneumophila Effector SidD. PLoS Pathogens. 9(5). e1003382–e1003382. 25 indexed citations
14.
Neunuebel, M. Ramona, Chen Yang, Andrew H. Gaspar, et al.. (2011). De-AMPylation of the Small GTPase Rab1 by the Pathogen Legionella pneumophila. Science. 333(6041). 453–456. 187 indexed citations
15.
Huang, Li, Dana Boyd, Andrew D. Hempstead, et al.. (2010). The E Block motif is associated withLegionella pneumophilatranslocated substrates. Cellular Microbiology. 13(2). 227–245. 147 indexed citations
16.
Machner, Matthias P. & Ralph R. Isberg. (2007). A Bifunctional Bacterial Protein Links GDI Displacement to Rab1 Activation. Science. 318(5852). 974–977. 180 indexed citations
17.
Machner, Matthias P. & Ralph R. Isberg. (2006). Targeting of Host Rab GTPase Function by the Intravacuolar Pathogen Legionella pneumophila. Developmental Cell. 11(1). 47–56. 285 indexed citations
18.
Freiberg, Alexander N., Matthias P. Machner, Wolfgang Pfeil, et al.. (2004). Folding and Stability of the Leucine-rich Repeat Domain of Internalin B from Listeria monocytogenes. Journal of Molecular Biology. 337(2). 453–461. 23 indexed citations
19.
Schubert, Wolf‐Dieter, Claus Urbanke, Viola Beier, et al.. (2002). Structure of Internalin, a Major Invasion Protein of Listeria monocytogenes, in Complex with Its Human Receptor E-Cadherin. Cell. 111(6). 825–836. 235 indexed citations
20.
Machner, Matthias P., Claus Urbanke, Melanie Barzik, et al.. (2001). ActA from Listeria monocytogenes Can Interact with Up to Four Ena/VASP Homology 1 Domains Simultaneously. Journal of Biological Chemistry. 276(43). 40096–40103. 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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