Andreas Dander

842 total citations
10 papers, 518 citations indexed

About

Andreas Dander is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Andreas Dander has authored 10 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Genetics. Recurrent topics in Andreas Dander's work include Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (3 papers) and Genomics and Phylogenetic Studies (3 papers). Andreas Dander is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (3 papers) and Genomics and Phylogenetic Studies (3 papers). Andreas Dander collaborates with scholars based in Austria, Switzerland and United Kingdom. Andreas Dander's co-authors include Stephan Pabinger, Zlatko Trajanoski, René Snajder, Johannes Zschocke, Birgit Krabichler, Mirjana Efremova, Michael R. Speicher, Matthias Dehmer, Armin Graber and Karl Kugler and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Andreas Dander

10 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Dander Austria	7	344	214	134	53	32	10	518
Shantao Li United States	12	397 1.2×	140 0.7×	116 0.9×	63 1.2×	12 0.4×	14	610
Cath Brooksbank United Kingdom	18	730 2.1×	75 0.4×	56 0.4×	56 1.1×	89 2.8×	61	953
Niran Abeygunawardena United Kingdom	5	552 1.6×	65 0.3×	87 0.6×	51 1.0×	20 0.6×	5	657
Natalja Kurbatova United Kingdom	7	530 1.5×	67 0.3×	79 0.6×	49 0.9×	18 0.6×	11	679
J. Lynn Fink Australia	18	750 2.2×	83 0.4×	131 1.0×	41 0.8×	32 1.0×	45	1.1k
Daniel Stöckel Germany	9	510 1.5×	78 0.4×	271 2.0×	50 0.9×	11 0.3×	16	749
Koon‐Kiu Yan United States	16	831 2.4×	118 0.6×	80 0.6×	120 2.3×	11 0.3×	26	986
Graham Cameron United Kingdom	13	770 2.2×	139 0.6×	42 0.3×	73 1.4×	43 1.3×	22	981
A. D. Baxevanis United States	9	520 1.5×	94 0.4×	30 0.2×	61 1.2×	29 0.9×	10	684
Matthew Ruffalo United States	8	258 0.8×	77 0.4×	76 0.6×	40 0.8×	9 0.3×	16	333

Countries citing papers authored by Andreas Dander

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Dander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Dander

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

All Works

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10 of 10 papers shown

1.

Dander, Andreas, et al.. (2014). SeqBench: Integrated solution for the management and analysis of exome sequencing data. BMC Research Notes. 7(1). 43–43. 6 indexed citations

2.

Dander, Andreas, et al.. (2014). Personalized Oncology Suite: integrating next-generation sequencing data and whole-slide bioimages. BMC Bioinformatics. 15(1). 306–306. 8 indexed citations

3.

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

4.

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

5.

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

6.

Dander, Andreas, et al.. (2013). [COMMODE] a large-scale database of molecular descriptors using compounds from PubChem. PubMed. 8(1). 22–22. 2 indexed citations

7.

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

8.

Kugler, Karl, et al.. (2010). A Network-based Approach to Classify Disease Stages of Prostate Cancer Using Quantitative Network Measures. International Conference on Bioinformatics. 55–61. 3 indexed citations

9.

Kugler, Karl, et al.. (2010). QuACN: an R package for analyzing complex biological networks quantitatively. Bioinformatics. 27(1). 140–141. 42 indexed citations

10.

Dander, Andreas, et al.. (2008). Improving efficiency and effectiveness of the image distortion model. Pattern Recognition Letters. 29(15). 2018–2024. 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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