Mario Emmenlauer

1.2k total citations
19 papers, 574 citations indexed

About

Mario Emmenlauer is a scholar working on Molecular Biology, Biophysics and Endocrinology. According to data from OpenAlex, Mario Emmenlauer has authored 19 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Biophysics and 5 papers in Endocrinology. Recurrent topics in Mario Emmenlauer's work include Cell Image Analysis Techniques (5 papers), RNA Interference and Gene Delivery (4 papers) and Single-cell and spatial transcriptomics (3 papers). Mario Emmenlauer is often cited by papers focused on Cell Image Analysis Techniques (5 papers), RNA Interference and Gene Delivery (4 papers) and Single-cell and spatial transcriptomics (3 papers). Mario Emmenlauer collaborates with scholars based in Switzerland, France and Germany. Mario Emmenlauer's co-authors include Christoph Dehio, Pauli Rämö, Wolf‐Dietrich Hardt, Saskia Kreibich, Alida Filippi, Alessandra Griffa, Jennifer Fredlund, Roland Nitschke, Jost Enninga and Christian Münz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Mario Emmenlauer

19 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Emmenlauer Switzerland 10 250 97 93 85 69 19 574
Amélie Dricot United States 7 331 1.3× 69 0.7× 133 1.4× 59 0.7× 55 0.8× 7 571
Tae Hyun Park South Korea 11 431 1.7× 56 0.6× 48 0.5× 39 0.5× 118 1.7× 25 821
Charlotte H. Durkin United Kingdom 8 284 1.1× 324 3.3× 84 0.9× 70 0.8× 71 1.0× 9 728
Hayley Bennett United Kingdom 12 296 1.2× 66 0.7× 26 0.3× 40 0.5× 86 1.2× 16 562
Caroline Clair France 14 528 2.1× 68 0.7× 64 0.7× 105 1.2× 79 1.1× 16 813
Andrea Sirianni United Kingdom 7 231 0.9× 103 1.1× 83 0.9× 64 0.8× 18 0.3× 7 432
Andrew Hotson United States 12 402 1.6× 283 2.9× 68 0.7× 43 0.5× 28 0.4× 22 1.1k
Lee Shaughnessy United States 7 243 1.0× 106 1.1× 61 0.7× 89 1.0× 41 0.6× 8 521
Erin Sandford United States 12 296 1.2× 67 0.7× 49 0.5× 21 0.2× 97 1.4× 23 608
Barbara D. Tzschaschel Germany 8 309 1.2× 70 0.7× 27 0.3× 95 1.1× 82 1.2× 9 570

Countries citing papers authored by Mario Emmenlauer

Since Specialization
Citations

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

Fields of papers citing papers by Mario Emmenlauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Emmenlauer

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

All Works

19 of 19 papers shown
1.
Emmenlauer, Mario, et al.. (2019). PyBDA: a command line tool for automated analysis of big biological data sets. BMC Bioinformatics. 20(1). 564–564. 2 indexed citations
2.
Bauer, Michael, Justin W. Flatt, Bettina Cardel, et al.. (2019). The E3 Ubiquitin Ligase Mind Bomb 1 Controls Adenovirus Genome Release at the Nuclear Pore Complex. Cell Reports. 29(12). 3785–3795.e8. 41 indexed citations
3.
Casanova, Alain, Maxime Québatte, Jarosław Sędzicki, et al.. (2019). A Role for the VPS Retromer in Brucella Intracellular Replication Revealed by Genomewide siRNA Screening. mSphere. 4(3). 8 indexed citations
4.
Srivatsa, Sumana, Jack Kuipers, Fabian Schmich, et al.. (2018). Improved pathway reconstruction from RNA interference screens by exploiting off-target effects. Bioinformatics. 34(13). i519–i527. 5 indexed citations
5.
Kannan, Abhilash, Alain Casanova, Saskia Kreibich, et al.. (2018). Growth-restricting effects of siRNA transfections: a largely deterministic combination of off-target binding and hybridization-independent competition. Nucleic Acids Research. 46(18). 9309–9320. 8 indexed citations
6.
Rinn, Bernd, et al.. (2017). Strategies and Solutions to Maintain and Retain Data from High Content Imaging, Analysis, and Screening Assays. Methods in molecular biology. 1683. 131–148. 5 indexed citations
7.
Riba, Andrea, Mario Emmenlauer, Amy Chen, et al.. (2017). Explicit Modeling of siRNA-Dependent On- and Off-Target Repression Improves the Interpretation of Screening Results. Cell Systems. 4(2). 182–193.e4. 16 indexed citations
8.
Kasper, Christoph, Mario Emmenlauer, Claudine Pique, et al.. (2017). ALPK1 controls TIFA/TRAF6-dependent innate immunity against heptose-1,7-bisphosphate of gram-negative bacteria. PLoS Pathogens. 13(2). e1006224–e1006224. 95 indexed citations
9.
Casanova, Alain, Mario Emmenlauer, Raquel Conde-Álvarez, et al.. (2016). Microscopy-based Assays for High-throughput Screening of Host Factors Involved in <em>Brucella</em> Infection of Hela Cells. Journal of Visualized Experiments. 4 indexed citations
10.
Andritschke, Daniel, Mario Emmenlauer, Tobias Welz, et al.. (2016). A Genome-Wide siRNA Screen Implicates Spire1/2 in SipA-Driven Salmonella Typhimurium Host Cell Invasion. PLoS ONE. 11(9). e0161965–e0161965. 15 indexed citations
11.
Schmich, Fabian, Ewa Szczurek, Saskia Kreibich, et al.. (2015). gespeR: a statistical model for deconvoluting off-target-confounded RNA interference screens. Genome biology. 16(1). 220–220. 28 indexed citations
12.
Kreibich, Saskia, Mario Emmenlauer, Jennifer Fredlund, et al.. (2015). Autophagy Proteins Promote Repair of Endosomal Membranes Damaged by the Salmonella Type Three Secretion System 1. Cell Host & Microbe. 18(5). 527–537. 99 indexed citations
13.
Siebourg‐Polster, Juliane, Mario Emmenlauer, Pauli Rämö, et al.. (2015). NEMix: Single-cell Nested Effects Models for Probabilistic Pathway Stimulation. PLoS Computational Biology. 11(4). e1004078–e1004078. 15 indexed citations
14.
15.
Franceschini, Andrea, Roger Meier, Alain Casanova, et al.. (2014). Specific inhibition of diverse pathogens in human cells by synthetic microRNA-like oligonucleotides inferred from RNAi screens. Proceedings of the National Academy of Sciences. 111(12). 4548–4553. 58 indexed citations
16.
Kühbacher, Andreas, Edith Gouin, Mario Emmenlauer, et al.. (2013). Imaging InlC Secretion to Investigate Cellular Infection by the Bacterial Pathogen <em>Listeria monocytogenes</em>. Journal of Visualized Experiments. e51043–e51043. 6 indexed citations
17.
Farhan, Muhammad, Pekka Ruusuvuori, Mario Emmenlauer, et al.. (2013). Multi-scale Gaussian representation and outline-learning based cell image segmentation. BMC Bioinformatics. 14(S10). S6–S6. 9 indexed citations
18.
Farhan, Muhammad, Pekka Ruusuvuori, Mario Emmenlauer, et al.. (2013). Graph cut and image intensity-based splitting improves nuclei segmentation in high-content screening. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8655. 86550F–86550F. 1 indexed citations
19.
Emmenlauer, Mario, Olaf Ronneberger, Aaron Ponti, et al.. (2009). XuvTools: free, fast and reliable stitching of large 3D datasets. Journal of Microscopy. 233(1). 42–60. 108 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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