Armin Graber
Impact in
-
- Computational Drug Discovery Methods
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Bioinformatics and Genomic Networks 9
- Metabolomics and Mass Spectrometry Studies 6
- Machine Learning in Bioinformatics 5
- Gene expression and cancer classification 5
- Gene Regulatory Network Analysis 5
- Spectroscopy 11
- Advanced Proteomics Techniques and Applications 7
- Mass Spectrometry Techniques and Applications 6
- Co-authors
- Matthias Dehmer (13 shared papers)Karl Kugler (12 shared papers)Klaus M. Weinberger (6 shared papers)Christian Baumgärtner (10 shared papers)Steven L. Ramsay (2 shared papers)Курт Вармуза (2 shared papers)Nicola Barbarini (2 shared papers)Raji Balasubramanian (2 shared papers)
- Journals
- PLoS ONE (4 papers)BMC Bioinformatics (3 papers)Cancer Research (3 papers)Journal of Proteome Research (2 papers)Bioinformatics (2 papers)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Armin Graber
42 papers receiving 832 citations
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 135
- Spectroscopy 137
- Molecular Biology 507
- Geometry and Topology 54
- Cancer Research 88
Countries citing papers authored by Armin Graber
This map shows the geographic impact of Armin Graber'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 Armin Graber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armin Graber more than expected).
Fields of papers citing papers by Armin Graber
This network shows the impact of papers produced by Armin Graber. 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 Armin Graber. The network helps show where Armin Graber may publish in the future.
Co-authors
The 25 scholars most cited alongside Armin Graber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 92 | |
| 2 | 2010 | 58 | |
| 3 | 2008 | 56 | |
| 4 | 2020 | 45 | |
| 5 | 2013 | 44 | |
| 6 | 2010 | 42 | |
| 7 | 2019 | 41 | |
| 8 | 2010 | 38 | |
| 9 | 2011 | 34 | |
| 10 | 2004 | 33 | |
| 11 | 2011 | 30 | |
| 12 | 2009 | 30 | |
| 13 | 2009 | 28 | |
| 14 | 2019 | 25 | |
| 15 | 2004 | 25 | |
| 16 | 2011 | 21 | |
| 17 | 2004 | 20 | |
| 18 | 2010 | 16 | |
| 19 | 2008 | 16 | |
| 20 | 2010 | 16 |
About Armin Graber
Armin Graber is a scholar working on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 854 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (9 papers), Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Machine Learning in Bioinformatics (5 papers), Gene expression and cancer classification (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (135 citations), Spectroscopy (137 citations), Molecular Biology (507 citations), Geometry and Topology (54 citations) and Cancer Research (88 citations). Armin Graber has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Matthias Dehmer, Karl Kugler, Klaus M. Weinberger, Christian Baumgärtner, Steven L. Ramsay, Курт Вармуза, Nicola Barbarini, Raji Balasubramanian, Elisabeth Altmaier and Karsten Suhre. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Cancer Research, Journal of Proteome Research and Bioinformatics.
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.