André P. Mäurer

1.2k total citations · 1 hit paper
8 papers, 834 citations indexed

About

André P. Mäurer is a scholar working on Microbiology, Immunology and Epidemiology. According to data from OpenAlex, André P. Mäurer has authored 8 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Microbiology, 5 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in André P. Mäurer's work include Reproductive tract infections research (6 papers), Immune Response and Inflammation (4 papers) and Genital Health and Disease (1 paper). André P. Mäurer is often cited by papers focused on Reproductive tract infections research (6 papers), Immune Response and Inflammation (4 papers) and Genital Health and Disease (1 paper). André P. Mäurer collaborates with scholars based in Germany, United Kingdom and United States. André P. Mäurer's co-authors include Thomas F. Meyer, Thomas Rudel, Nikolaus Machuy, Simone Heß, Dagmar Heuer, Thorsten Wolff, Elke Müller, Yujin Shin, Klaus‐Peter Pleißner and Anita Artarini and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

André P. Mäurer

8 papers receiving 822 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome-wide RNAi screen identifies human host factors crucial for influenza virus replication

2010 572 citations Alexander Karlas, Nikolaus Machuy et al. Nature profile →

Peers

André P. Mäurer

MB

EPIDE

IMMUN

MICRO

ID

Elita Avota Germany

Alexandra Potts Switzerland

Brigitte Heller United States

Eduardo Garcia Switzerland

S. J. Ewald United States

Jacqueline Weber Switzerland

Wuxun Lu United States

Cynthia L. Brazolot Millan Canada

Frédéric Vigant United States

Tobias Paprotka Germany

Elita Avota Germany

André P. Mäurer

458 ×1.1

MB

520 ×1.3

EPIDE

729 ×2.2

IMMUN

38 ×0.2

MICRO

212 ×2.2

ID

Citations per year, relative to André P. Mäurer André P. Mäurer (= 1×) peers Elita Avota

Countries citing papers authored by André P. Mäurer

Since Specialization

Citations

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

Fields of papers citing papers by André P. Mäurer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André P. Mäurer

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Markowetz, Florian, Carles Pons, Christina Laufer, et al.. (2015). Systems Genetics. Cambridge University Press eBooks. 4 indexed citations

2.

Sharma, Manu, Nikolaus Machuy, Karthika Karunakaran, et al.. (2011). HIF-1α is involved in mediating apoptosis resistance to Chlamydia trachomatis-infected cells. Cellular Microbiology. 13(10). 1573–1585. 42 indexed citations

3.

Karlas, Alexander, Nikolaus Machuy, Yujin Shin, et al.. (2010). Genome-wide RNAi screen identifies human host factors crucial for influenza virus replication. Nature. 463(7282). 818–822. 572 indexed citations breakdown →

4.

Mehlitz, Adrian, Sebastian Banhart, André P. Mäurer, et al.. (2010). Tarp regulates earlyChlamydia-induced host cell survival through interactions with the human adaptor protein SHC1. The Journal of Cell Biology. 190(1). 143–157. 57 indexed citations

5.

Gurumurthy, Rajendra Kumar, André P. Mäurer, Nikolaus Machuy, et al.. (2010). A Loss-of-Function Screen Reveals Ras- and Raf-Independent MEK-ERK Signaling During Chlamydia trachomatis Infection. Science Signaling. 3(113). ra21–ra21. 44 indexed citations

6.

Paland, Nicole, et al.. (2008). Reduced Display of Tumor Necrosis Factor Receptor I at the Host Cell Surface Supports Infection with Chlamydia trachomatis. Journal of Biological Chemistry. 283(10). 6438–6448. 29 indexed citations

7.

Heuer, Dagmar, Kneip Christoph, André P. Mäurer, & Thomas F. Meyer. (2007). Tackling the intractable – Approaching the genetics of Chlamydiales. International Journal of Medical Microbiology. 297(7-8). 569–576. 16 indexed citations

8.

Mäurer, André P., Adrian Mehlitz, Hans‐Joachim Mollenkopf, & Thomas F. Meyer. (2007). Gene Expression Profiles of Chlamydophila pneumoniae during the Developmental Cycle and Iron Depletion–Mediated Persistence. PLoS Pathogens. 3(6). e83–e83. 70 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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