Stephan Pabinger

2.1k total citations
34 papers, 1.2k citations indexed

About

Stephan Pabinger is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Stephan Pabinger has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Stephan Pabinger's work include Genomics and Phylogenetic Studies (11 papers), Epigenetics and DNA Methylation (5 papers) and RNA modifications and cancer (5 papers). Stephan Pabinger is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Epigenetics and DNA Methylation (5 papers) and RNA modifications and cancer (5 papers). Stephan Pabinger collaborates with scholars based in Austria, United States and Germany. Stephan Pabinger's co-authors include Zlatko Trajanoski, René Snajder, Andreas Dander, Johannes Zschocke, Albert Kriegner, Birgit Krabichler, Mirjana Efremova, Michael R. Speicher, Andreas Weinhäusel and Klemens Vierlinger and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Stephan Pabinger

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Pabinger Austria 17 760 284 184 136 122 34 1.2k
Siliang Li China 3 634 0.8× 192 0.7× 147 0.8× 146 1.1× 146 1.2× 3 1.1k
Yimin He China 9 658 0.9× 192 0.7× 150 0.8× 165 1.2× 172 1.4× 16 1.1k
Marat D. Kazanov Russia 20 884 1.2× 249 0.9× 175 1.0× 96 0.7× 114 0.9× 38 1.3k
Wei-Sheng Wu Taiwan 26 1.7k 2.2× 243 0.9× 347 1.9× 222 1.6× 106 0.9× 108 2.6k
Nitesh Turaga United States 6 1.1k 1.4× 195 0.7× 215 1.2× 227 1.7× 181 1.5× 6 1.7k
Bernd Jagla France 18 1.2k 1.5× 219 0.8× 271 1.5× 200 1.5× 165 1.4× 25 1.9k
Matthew S. Hestand United States 16 812 1.1× 346 1.2× 153 0.8× 221 1.6× 99 0.8× 26 1.2k
Andrew F. Gardner United States 18 1.0k 1.4× 304 1.1× 133 0.7× 120 0.9× 209 1.7× 41 1.4k
Carl Eberhard United States 4 969 1.3× 190 0.7× 109 0.6× 234 1.7× 187 1.5× 5 1.6k

Countries citing papers authored by Stephan Pabinger

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Pabinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Pabinger

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

All Works

20 of 20 papers shown
1.
Macey, Jonathan R., Stephan Pabinger, Vanessa L. González, et al.. (2021). Evidence of two deeply divergent co-existing mitochondrial genomes in the Tuatara reveals an extremely complex genomic organization. Communications Biology. 4(1). 116–116. 18 indexed citations
2.
Maghuly, Fatemeh, Tamás Deák, Klemens Vierlinger, et al.. (2020). Gene expression profiling identifies pathways involved in seed maturation of Jatropha curcas. BMC Genomics. 21(1). 290–290. 1 indexed citations
3.
Wisnieski, Fernanda, Danielle Queiroz Calcagno, Carolina Oliveira Gigek, et al.. (2020). The impact of DNA demethylation on the upregulation of the NRN1 and TNFAIP3 genes associated with advanced gastric cancer. Journal of Molecular Medicine. 98(5). 707–717. 15 indexed citations
4.
Pabinger, Stephan, et al.. (2019). PRIMEval: Optimization and screening of multiplex oligonucleotide assays. Scientific Reports. 9(1). 19286–19286. 6 indexed citations
5.
Pabinger, Stephan, et al.. (2018). Oli2go: an automated multiplex oligonucleotide design tool. Nucleic Acids Research. 46(W1). W252–W256. 28 indexed citations
6.
Pandey, Ram Vinay, Stephan Pabinger, Albert Kriegner, & Andreas Weinhäusel. (2017). DaMold: A data-mining platform for variant annotation and visualization in molecular diagnostics research. Human Mutation. 38(7). 778–787. 5 indexed citations
7.
Pabinger, Stephan, Walter Pulverer, Ana M. Valdes, et al.. (2016). Analysis and Visualization Tool for Targeted Amplicon Bisulfite Sequencing on Ion Torrent Sequencers. PLoS ONE. 11(7). e0160227–e0160227. 13 indexed citations
8.
Pandey, Ram Vinay, Stephan Pabinger, Albert Kriegner, & Andreas Weinhäusel. (2016). ClinQC: a tool for quality control and cleaning of Sanger and NGS data in clinical research. BMC Bioinformatics. 17(1). 56–56. 20 indexed citations
9.
Pandey, Ram Vinay, et al.. (2016). MSRE-HTPrimer: a high-throughput and genome-wide primer design pipeline optimized for epigenetic research. Clinical Epigenetics. 8(1). 26–26. 4 indexed citations
10.
Pandey, Ram Vinay, Stephan Pabinger, Albert Kriegner, & Andreas Weinhäusel. (2016). MutAid: Sanger and NGS Based Integrated Pipeline for Mutation Identification, Validation and Annotation in Human Molecular Genetics. PLoS ONE. 11(2). e0147697–e0147697. 5 indexed citations
11.
Maghuly, Fatemeh, Joanna Jankowicz-Cieślak, Stephan Pabinger, Bradley J. Till, & Margit Laimer. (2014). Geographic origin is not supported by the genetic variability found in a large living collection of Jatropha curcas with accessions from three continents. Biotechnology Journal. 10(4). 536–551. 22 indexed citations
12.
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
13.
Trajanoski, Zlatko, et al.. (2014). SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases. BMC Bioinformatics. 15(1). 279–279. 20 indexed citations
14.
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
15.
Pabinger, Stephan, Stefan Rödiger, Albert Kriegner, Klemens Vierlinger, & Andreas Weinhäusel. (2014). A survey of tools for the analysis of quantitative PCR (qPCR) data. SHILAP Revista de lepidopterología. 1(1). 23–33. 131 indexed citations
16.
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
17.
Pabinger, Stephan & Zlatko Trajanoski. (2013). Genome-Scale Model Management and Comparison. Methods in molecular biology. 985. 3–16. 3 indexed citations
18.
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
19.
Pabinger, Stephan, et al.. (2011). MEMOSys: Bioinformatics platform for genome-scale metabolic models. BMC Systems Biology. 5(1). 20–20. 27 indexed citations
20.
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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