Benno Schwikowski
Impact in
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 0.05%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- Gene expression and cancer classification
Papers in
- Spectroscopy 11
- Advanced Proteomics Techniques and Applications 10
- Mass Spectrometry Techniques and Applications 8
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- Bioinformatics and Genomic Networks 17
- Gene expression and cancer classification 13
- Metabolomics and Mass Spectrometry Studies 12
- Genomics and Phylogenetic Studies 9
- Machine Learning in Bioinformatics 6
- RNA and protein synthesis mechanisms 6
- Co-authors
- Trey IdekerOwen OzierNada AminPaul ShannonDaniel RamageNitin S. BaligaStanley FieldsPeter Uetz
- Journals
- Bioinformatics (6 papers)Journal of Computational Biology (5 papers)PROTEOMICS (5 papers)Journal of Proteome Research (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Benno Schwikowski
53 papers receiving 37.9k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Cancer Research 5.6k
- Molecular Biology 24.6k
- Immunology 3.5k
- Aging 273
- Computational Theory and Mathematics 2.3k
Countries citing papers authored by Benno Schwikowski
This map shows the geographic impact of Benno Schwikowski'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 Benno Schwikowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benno Schwikowski more than expected).
Fields of papers citing papers by Benno Schwikowski
This network shows the impact of papers produced by Benno Schwikowski. 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 Benno Schwikowski. The network helps show where Benno Schwikowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Benno Schwikowski, 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 | High-level Biomedical Data Integration in a Semantic Knowledge Graph with OncodashKB for finding Personalized Actionable Drugs in Ovarian Cancer | 2024 | 1 |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 115 | |
| 5 | 2020 | 114 | |
| 6 | 2019 | 59 | |
| 7 | 2017 | 26 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 17 | |
| 11 | 2013 | 6 | |
| 12 | 2013 | 7 | |
| 13 | 2010 | 4 | |
| 14 | 2008 | 77 | |
| 15 | 2007 | 49 | |
| 16 | 2005 | 96 | |
| 17 | Algorithmic Challenges in Mass Spectrometry and Systems Biology | 2002 | 1 |
| 18 | 2002 | 41 | |
| 19 | 2002 | 173 | |
| 20 | A network of protein–protein interactions in yeast Hit paper breakdown → | 2000 | 953 |
About Benno Schwikowski
Benno Schwikowski is a scholar working on Spectroscopy, Molecular Biology, Biological Psychiatry, Endocrinology and Biophysics, having authored 53 papers that have together received 38.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (13 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Advanced Proteomics Techniques and Applications (10 papers), Genomics and Phylogenetic Studies (9 papers), Mass Spectrometry Techniques and Applications (8 papers), Machine Learning in Bioinformatics (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Cancer Research (5.6k citations), Molecular Biology (24.6k citations), Immunology (3.5k citations), Aging (273 citations) and Computational Theory and Mathematics (2.3k citations). Benno Schwikowski has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Trey Ideker, Owen Ozier, Nada Amin, Paul Shannon, Daniel Ramage, Nitin S. Baliga, Stanley Fields, Peter Uetz, Andrew F. Siegel and Ruedi Aebersold. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, PROTEOMICS, Journal of Proteome Research and Molecular & Cellular Proteomics.
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.