Matthias Neddermann

679 total citations
9 papers, 481 citations indexed

About

Matthias Neddermann is a scholar working on Surgery, Molecular Biology and Gastroenterology. According to data from OpenAlex, Matthias Neddermann has authored 9 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Molecular Biology and 3 papers in Gastroenterology. Recurrent topics in Matthias Neddermann's work include Helicobacter pylori-related gastroenterology studies (6 papers), Gastroesophageal reflux and treatments (3 papers) and Galectins and Cancer Biology (3 papers). Matthias Neddermann is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (6 papers), Gastroesophageal reflux and treatments (3 papers) and Galectins and Cancer Biology (3 papers). Matthias Neddermann collaborates with scholars based in Germany, South Korea and Switzerland. Matthias Neddermann's co-authors include Steffen Backert, Nicole Tegtmeyer, Michael Naumann, Gunter Maubach, Carl V. Asche, Mark Brönstrup, Judith Lind, Michael Vieth, Suneesh Kumar Pachathundikandi and Heinrich Sticht and has published in prestigious journals such as Nature Communications, The EMBO Journal and Molecular Microbiology.

In The Last Decade

Matthias Neddermann

9 papers receiving 479 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 Neddermann Germany 8 303 169 149 85 49 9 481
Takeru Hayashi Japan 11 407 1.3× 328 1.9× 253 1.7× 75 0.9× 69 1.4× 14 641
H. O. Werling Germany 5 206 0.7× 103 0.6× 77 0.5× 49 0.6× 37 0.8× 8 302
Guangxian Xu China 11 126 0.4× 321 1.9× 299 2.0× 28 0.3× 81 1.7× 33 689
Susan E. Ivie United States 10 175 0.6× 341 2.0× 179 1.2× 61 0.7× 10 0.2× 11 573
Cécile Gautier France 7 127 0.4× 149 0.9× 200 1.3× 9 0.1× 17 0.3× 11 394
J C Byrd United States 9 125 0.4× 152 0.9× 522 3.5× 11 0.1× 48 1.0× 9 686
Kimberley D. Gutierrez United States 6 81 0.3× 154 0.9× 281 1.9× 13 0.2× 29 0.6× 6 453
Christopher Oelkrug Germany 12 30 0.1× 136 0.8× 151 1.0× 60 0.7× 22 0.4× 23 460
Saskia C. Stein Germany 8 121 0.4× 297 1.8× 132 0.9× 26 0.3× 17 0.3× 12 451
Neil Myerscough United Kingdom 9 97 0.3× 137 0.8× 355 2.4× 7 0.1× 27 0.6× 18 461

Countries citing papers authored by Matthias Neddermann

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Neddermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Neddermann

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

All Works

9 of 9 papers shown
1.
Tegtmeyer, Nicole, Matthias Neddermann, Judith Lind, et al.. (2020). Toll-like Receptor 5 Activation by the CagY Repeat Domains of Helicobacter pylori. Cell Reports. 32(11). 108159–108159. 42 indexed citations
2.
Neddermann, Matthias & Steffen Backert. (2019). Quantification of serine protease HtrA molecules secreted by the foodborne pathogen Campylobacter jejuni. Gut Pathogens. 11(1). 14–14. 13 indexed citations
3.
Pachathundikandi, Suneesh Kumar, Nicole Tegtmeyer, Isabelle C. Arnold, et al.. (2019). T4SS-dependent TLR5 activation by Helicobacter pylori infection. Nature Communications. 10(1). 5717–5717. 61 indexed citations
4.
Neddermann, Matthias & Steffen Backert. (2019). How many protein molecules are secreted by single Helicobacter pylori cells: Quantification of serine protease HtrA. Cellular Microbiology. 21(7). e13022–e13022. 12 indexed citations
5.
Moonens, Kristof, Matthias Neddermann, Nicole Tegtmeyer, et al.. (2018). Helicobacter pylori adhesin HopQ disrupts trans dimerization in human CEACAM s. The EMBO Journal. 37(13). 74 indexed citations
6.
Tegtmeyer, Nicole, Matthias Neddermann, Carl V. Asche, & Steffen Backert. (2017). Subversion of host kinases: a key network in cellular signaling hijacked by Helicobacter pylori CagA. Molecular Microbiology. 105(3). 358–372. 91 indexed citations
7.
Backert, Steffen, Matthias Neddermann, Gunter Maubach, & Michael Naumann. (2016). Pathogenesis of Helicobacter pylori infection. Helicobacter. 21(S1). 19–25. 126 indexed citations
8.
Wang, Yuxiao, Daniela Bertinetti, Matthias Neddermann, et al.. (2014). Isoform-Selective Disruption of AKAP-Localized PKA Using Hydrocarbon Stapled Peptides. ACS Chemical Biology. 9(3). 635–642. 59 indexed citations
9.
Wang, Yuxiao, Daniela Bertinetti, Matthias Neddermann, et al.. (2014). Correction to Isoform-Selective Disruption of AKAP-Localized PKA Using Hydrocarbon Stapled Peptides. ACS Chemical Biology. 9(6). 1386–1386. 3 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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