Tom Quaiser
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
-
- Bioinformatics and Genomic Networks 2
- Single-cell and spatial transcriptomics 1
- Kruppel-like factors research 1
- Signaling Pathways in Disease 1
- Protein Tyrosine Phosphatases 1
- Melanoma and MAPK Pathways 1
- Oncology 6
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Martin Mönnigmann (3 shared papers)Helen M. Byrne (3 shared papers)Sarah L. Waters (2 shared papers)Joshua A. Bull (2 shared papers)Franziska Mech (1 shared paper)Fred Schaper (2 shared papers)Anna Dittrich (2 shared papers)Dieter Görtz (1 shared paper)
- Journals
- Scientific Reports (2 papers)BMC Systems Biology (2 papers)Traffic (1 paper)PLoS Computational Biology (1 paper)BioEssays (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Tom Quaiser
10 papers receiving 275 citations
Peers
Comparison fields: 5 of 92
- Modeling and Simulation 58
- Biophysics 15
- Oncology 62
- Statistics, Probability and Uncertainty 15
- Cell Biology 31
Countries citing papers authored by Tom Quaiser
This map shows the geographic impact of Tom Quaiser'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 Tom Quaiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Quaiser more than expected).
Fields of papers citing papers by Tom Quaiser
This network shows the impact of papers produced by Tom Quaiser. 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 Tom Quaiser. The network helps show where Tom Quaiser may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Quaiser, 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 | 2009 | 88 | |
| 2 | 2020 | 59 | |
| 3 | 2012 | 28 | |
| 4 | 2011 | 26 | |
| 5 | 2020 | 24 | |
| 6 | 2015 | 19 | |
| 7 | 2006 | 14 | |
| 8 | 2023 | 9 | |
| 9 | 2008 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2025 | 0 |
About Tom Quaiser
Tom Quaiser is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 284 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), Bioinformatics and Genomic Networks (2 papers), Single-cell and spatial transcriptomics (1 paper), Kruppel-like factors research (1 paper), Signaling Pathways in Disease (1 paper), Protein Tyrosine Phosphatases (1 paper), Galectins and Cancer Biology (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Modeling and Simulation (58 citations), Biophysics (15 citations), Oncology (62 citations), Statistics, Probability and Uncertainty (15 citations) and Cell Biology (31 citations). Tom Quaiser has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Martin Mönnigmann, Helen M. Byrne, Sarah L. Waters, Joshua A. Bull, Franziska Mech, Fred Schaper, Anna Dittrich, Dieter Görtz, Michael Kühl and Christina Khouri. Their work appears in journals such as Scientific Reports, BMC Systems Biology, Traffic, PLoS Computational Biology and BioEssays.
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.