Stefan Bleuler
- Molecular Biology top 5%
- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 7
- Gene Regulatory Network Analysis 5
- Single-cell and spatial transcriptomics 3
- Molecular Biology Techniques and Applications 3
- RNA Research and Splicing 2
- Plant Science top 2%
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications 2
-
- Advanced Multi-Objective Optimization Algorithms 2
- Biochemistry top 10%
- Co-authors
- Philip ZimmermannWilhelm GruissemOliver LauleTomáš HrúzEckart ZitzlerPeter WidmayerGábor SzabóLothar Thiele
- Partner nations
- SwitzerlandAustraliaGermany
In The Last Decade
Stefan Bleuler
16 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 2.2k
- Plant Science 1.2k
- Artificial Intelligence 407
- Computational Theory and Mathematics 193
- Biochemistry 82
Countries citing papers authored by Stefan Bleuler
This map shows the geographic impact of Stefan Bleuler'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 Stefan Bleuler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Bleuler more than expected).
Fields of papers citing papers by Stefan Bleuler
This network shows the impact of papers produced by Stefan Bleuler. 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 Stefan Bleuler. The network helps show where Stefan Bleuler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Bleuler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 16 | |
| 2 | 2013 | 16 | |
| 3 | 2013 | 1 | |
| 4 | 2012 | 21 | |
| 5 | 2011 | 239 | |
| 6 | 2008 | 84 | |
| 7 | Genevestigator V3: A Reference Expression Database for the Meta‐Analysis of Transcriptomesbreakdown → | 2008 | 1560 |
| 8 | 2008 | 33 | |
| 9 | 2007 | 3 | |
| 10 | A systematic comparison and evaluation of biclustering methods for gene expression databreakdown → | 2006 | 584 |
| 11 | 2006 | 172 | |
| 12 | Comparison of Biclustering Methods: A Systematic Comparison and Evaluation of Biclustering Methods for Gene Expression Data | 2005 | 5 |
| 13 | 2004 | 254 | |
| 14 | 2004 | 82 | |
| 15 | 2002 | 131 | |
| 16 | 2002 | 1 |
About Stefan Bleuler
Stefan Bleuler is a scholar working on Computational Theory and Mathematics, Molecular Biology and Philosophy, having authored 16 papers that have together received 3.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (7 papers), Gene Regulatory Network Analysis (5 papers), Single-cell and spatial transcriptomics (3 papers), Molecular Biology Techniques and Applications (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Evolutionary Algorithms and Applications (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Plant Science (1.2k citations) and Artificial Intelligence (407 citations). Stefan Bleuler has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include Philip Zimmermann, Wilhelm Gruissem, Oliver Laule, Tomáš Hrúz, Eckart Zitzler, Peter Widmayer, Gábor Szabó, Lothar Thiele, Peter Bühlmann and Lars Hennig. Their work appears in journals such as BMC Genomics, Bioinformatics, BioData Mining, Molecular Plant and Genome biology.
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.