Gernot Stocker
Impact in
-
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Gut microbiota and health
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Gene expression and cancer classification 6
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Genomics and Chromatin Dynamics 1
- Biomedical Text Mining and Ontologies 1
- Genetics 2
- Genomics and Rare Diseases 2
- Co-authors
- Zlatko Trajanoski (12 shared papers)Alexander Sturn (3 shared papers)Fátima Sánchez‐Cabo (2 shared papers)Johannes Rainer (1 shared paper)Gerhard Thallinger (4 shared papers)Slave Trajanoski (2 shared papers)Stefan Lackner (1 shared paper)Christoph Högenauer (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)PLoS ONE (2 papers)Bioinformatics (2 papers)Cellular and Molecular Life Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- AustriaUnited StatesFrance
In The Last Decade
Gernot Stocker
14 papers receiving 486 citations
Peers
Comparison fields: 5 of 91
- Aging 9
- Molecular Biology 306
- Gastroenterology 17
- Cancer Research 40
- Information Systems and Management 18
Countries citing papers authored by Gernot Stocker
This map shows the geographic impact of Gernot Stocker'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 Gernot Stocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gernot Stocker more than expected).
Fields of papers citing papers by Gernot Stocker
This network shows the impact of papers produced by Gernot Stocker. 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 Gernot Stocker. The network helps show where Gernot Stocker may publish in the future.
Co-authors
The 25 scholars most cited alongside Gernot Stocker, 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 | 2006 | 185 | |
| 2 | 2013 | 100 | |
| 3 | 2005 | 45 | |
| 4 | 2012 | 37 | |
| 5 | 2013 | 36 | |
| 6 | 2007 | 35 | |
| 7 | 2009 | 16 | |
| 8 | 2004 | 10 | |
| 9 | 2010 | 8 | |
| 10 | 2005 | 7 | |
| 11 | 2004 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2002 | 5 | |
| 14 | 2013 | 2 |
About Gernot Stocker
Gernot Stocker is a scholar working on Molecular Biology, Genetics, Information Systems and Management, Spectroscopy and Cancer Research, having authored 14 papers that have together received 498 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (2 papers), Genomics and Chromatin Dynamics (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Aging (9 citations), Molecular Biology (306 citations), Gastroenterology (17 citations), Cancer Research (40 citations) and Information Systems and Management (18 citations). Gernot Stocker has collaborated with scholars based in Austria, United States and France. Frequent co-authors include Zlatko Trajanoski, Alexander Sturn, Fátima Sánchez‐Cabo, Johannes Rainer, Gerhard Thallinger, Slave Trajanoski, Stefan Lackner, Christoph Högenauer, Gregor Gorkiewicz and Christian Gülly. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Bioinformatics, Cellular and Molecular Life Sciences and Nucleic Acids Research.
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.