René Snajder

1.4k total citations
12 papers, 961 citations indexed

About

René Snajder is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, René Snajder has authored 12 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Oncology. Recurrent topics in René Snajder's work include Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (3 papers) and Bioinformatics and Genomic Networks (3 papers). René Snajder is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (3 papers) and Bioinformatics and Genomic Networks (3 papers). René Snajder collaborates with scholars based in Austria, Germany and United Kingdom. René Snajder's co-authors include Zlatko Trajanoski, Stephan Pabinger, Andreas Dander, Johannes Zschocke, Michael R. Speicher, Birgit Krabichler, Mirjana Efremova, Hubert Hackl, M. Fischer and Maximilian J. Waldner and has published in prestigious journals such as Bioinformatics, PLoS ONE and Developmental Cell.

In The Last Decade

René Snajder

12 papers receiving 942 citations

Peers

René Snajder

MB

ONCOL

CR

GENET

IMMUN

Xiaoling Liu China

Erin Pleasance Canada

Anna Vähärautio Finland

Billy T. Lau United States

Gen Wang Canada

Lars Rønn Olsen Denmark

Mark Sun Canada

Man‐Hung Eric Tang Denmark

Gerald Gooden United States

Xiaoling Liu China

René Snajder

615 ×1.2

MB

305 ×1.0

ONCOL

286 ×1.2

CR

174 ×0.8

GENET

322 ×1.7

IMMUN

Citations per year, relative to René Snajder René Snajder (= 1×) peers Xiaoling Liu

Countries citing papers authored by René Snajder

Since Specialization

Citations

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

Fields of papers citing papers by René Snajder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of René Snajder

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

All Works

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12 of 12 papers shown

1.

Snajder, René, Adrien Léger, Oliver Stegle, & Marc Jan Bonder. (2023). pycoMeth: a toolbox for differential methylation testing from Nanopore methylation calls. Genome biology. 24(1). 83–83. 7 indexed citations

2.

Rausch, Tobias, René Snajder, Adrien Léger, et al.. (2023). Long-read sequencing of diagnosis and post-therapy medulloblastoma reveals complex rearrangement patterns and epigenetic signatures. Cell Genomics. 3(4). 100281–100281. 18 indexed citations

3.

Ichikawa, Takafumi, Anna Erzberger, René Snajder, et al.. (2022). An ex vivo system to study cellular dynamics underlying mouse peri-implantation development. Developmental Cell. 57(3). 373–386.e9. 22 indexed citations

4.

Angelova, Mihaela, Pornpimol Charoentong, Hubert Hackl, et al.. (2015). Characterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy. Genome Biology. 16(1). 64–64. 387 indexed citations

5.

Pabinger, Stephan, et al.. (2014). Database update MEMOSys 2.0: an update of the bioinformatics database for genome-scale models and genomic data. 6 indexed citations

6.

Pabinger, Stephan, et al.. (2014). MEMOSys 2.0: an update of the bioinformatics database for genome-scale models and genomic data. Database. 2014. bau004–bau004. 17 indexed citations

7.

Pabinger, Stephan, Andreas Dander, René Snajder, et al.. (2013). A survey of tools for variant analysis of next-generation genome sequencing data. Briefings in Bioinformatics. 15(2). 256–278. 394 indexed citations

8.

Halwachs, Bettina, et al.. (2013). High-Throughput Characterization and Comparison of Microbial Communities. Biomedizinische Technik/Biomedical Engineering. 2 indexed citations

9.

Snajder, René, Zlatko Trajanoski, & Hubert Hackl. (2013). GPViz: dynamic visualization of genomic regions and variants affecting protein domains. Bioinformatics. 29(17). 2195–2196. 2 indexed citations

10.

Fischer, Maria, René Snajder, Stephan Pabinger, et al.. (2012). SIMPLEX: Cloud-Enabled Pipeline for the Comprehensive Analysis of Exome Sequencing Data. PLoS ONE. 7(8). e41948–e41948. 37 indexed citations

11.

Zeebèrg, Barry R., William C. Reinhold, René Snajder, et al.. (2012). Functional Categories Associated with Clusters of Genes That Are Co-Expressed across the NCI-60 Cancer Cell Lines. PLoS ONE. 7(1). e30317–e30317. 12 indexed citations

12.

Pabinger, Stephan, et al.. (2009). QPCR: Application for real-time PCR data management and analysis. BMC Bioinformatics. 10(1). 268–268. 57 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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