Thomas Sauter
Impact in
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- RNA modifications and cancer
- Otorhinolaryngology top 5%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 28
- Bioinformatics and Genomic Networks 25
- Gene Regulatory Network Analysis 22
- Melanoma and MAPK Pathways 6
- Single-cell and spatial transcriptomics 6
- Genomics and Chromatin Dynamics 5
- Aging 2
- Co-authors
- Maria Pires PachecoPhilippe LucarelliMahvash TavassoliNina RaulfNikos VlassisAndreas KremlingElham AlsahafiKatheryn Begg
- Journals
- PLoS ONE (5 papers)Cell Death and Disease (4 papers)PLoS Computational Biology (4 papers)Nucleic Acids Research (3 papers)Cell Communication and Signaling (3 papers)
- Partner nations
- LuxembourgGermanyUnited States
In The Last Decade
Thomas Sauter
99 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.8k
- Otorhinolaryngology 85
- Cancer Research 274
- Computational Theory and Mathematics 192
- Oncology 282
Countries citing papers authored by Thomas Sauter
This map shows the geographic impact of Thomas Sauter'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 Sauter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Sauter more than expected).
Fields of papers citing papers by Thomas Sauter
This network shows the impact of papers produced by Thomas Sauter. 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 Sauter. The network helps show where Thomas Sauter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Sauter, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 24 | |
| 13 | 2019 | 53 | |
| 14 | 2018 | 17 | |
| 15 | 2018 | 54 | |
| 16 | 2016 | 12 | |
| 17 | 2016 | 27 | |
| 18 | Thermodynamically-Consistent Reduced-Order Modeling of the Oxygen Response of Escherichia coli | 2008 | 0 |
| 19 | 2002 | 1 | |
| 20 | Biosystems Engineering: Applying methods from systems theory to biological systems | 2001 | 3 |
About Thomas Sauter
Thomas Sauter is a scholar working on Molecular Biology, Aging, Computational Theory and Mathematics, Cancer Research and Immunology, having authored 106 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (28 papers), Bioinformatics and Genomic Networks (25 papers), Gene Regulatory Network Analysis (22 papers), Computational Drug Discovery Methods (13 papers), Melanoma and MAPK Pathways (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Single-cell and spatial transcriptomics (6 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Otorhinolaryngology (85 citations), Cancer Research (274 citations), Computational Theory and Mathematics (192 citations) and Oncology (282 citations). Thomas Sauter has collaborated with scholars based in Luxembourg, Germany and United States. Frequent co-authors include Maria Pires Pacheco, Philippe Lucarelli, Mahvash Tavassoli, Nina Raulf, Nikos Vlassis, Andreas Kremling, Elham Alsahafi, Katheryn Begg, Ivano Amelio and Katja Bettenbrock. Their work appears in journals such as PLoS ONE, Cell Death and Disease, PLoS Computational Biology, Nucleic Acids Research and Cell Communication and Signaling.
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.