Thomas Schaffter
Impact in
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Single-cell and spatial transcriptomics
- Genomics and Chromatin Dynamics
- Biophysics top 10%
Papers in
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- Cell Image Analysis Techniques 2
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- Gene Regulatory Network Analysis 5
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Co-authors
- Dario Floreano (5 shared papers)Daniel Marbach (4 shared papers)Claudio Mattiussi (2 shared papers)Gustavo A. Stolovitzky (3 shared papers)Robert J. Prill (1 shared paper)Mehmet Eren Ahsen (2 shared papers)Justin Guinney (3 shared papers)Richard Benton (1 shared paper)
- Journals
- eLife (1 paper)JAMA Network Open (1 paper)PLoS ONE (1 paper)Journal of the American Medical Informatics Association (1 paper)Journal of Philosophical Logic (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Thomas Schaffter
13 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.1k
- Biophysics 47
- Health Informatics 11
- Artificial Intelligence 170
- Computational Theory and Mathematics 64
Countries citing papers authored by Thomas Schaffter
This map shows the geographic impact of Thomas Schaffter'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 Thomas Schaffter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Schaffter more than expected).
Fields of papers citing papers by Thomas Schaffter
This network shows the impact of papers produced by Thomas Schaffter. 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 Thomas Schaffter. The network helps show where Thomas Schaffter may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Schaffter, 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 | 2010 | 549 | |
| 2 | 2011 | 398 | |
| 3 | 2009 | 330 | |
| 4 | 2022 | 38 | |
| 5 | 2020 | 23 | |
| 6 | 2012 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 8 | |
| 9 | 1979 | 5 | |
| 10 | GeneNetWeaver 3.0: realistic benchmark generation and performance profiling of network inference methods | 2010 | 1 |
| 11 | 1979 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 1975 | 1 |
About Thomas Schaffter
Thomas Schaffter is a scholar working on Biophysics, Molecular Biology, Artificial Intelligence, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Cell Image Analysis Techniques (2 papers), Plant and animal studies (1 paper), Meta-analysis and systematic reviews (1 paper), Neurobiology and Insect Physiology Research (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Biophysics (47 citations), Health Informatics (11 citations), Artificial Intelligence (170 citations) and Computational Theory and Mathematics (64 citations). Thomas Schaffter has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Dario Floreano, Daniel Marbach, Claudio Mattiussi, Gustavo A. Stolovitzky, Robert J. Prill, Mehmet Eren Ahsen, Justin Guinney, Richard Benton, Pavan P Ramdya and Joann G. Elmore. Their work appears in journals such as eLife, JAMA Network Open, PLoS ONE, Journal of the American Medical Informatics Association and Journal of Philosophical Logic.
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.