Toby Mathieson
Impact in
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
- Protein Structure and Dynamics
Papers in
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- Advanced Proteomics Techniques and Applications 9
- Mass Spectrometry Techniques and Applications 8
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- Metabolomics and Mass Spectrometry Studies 5
- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
- Protein Structure and Dynamics 1
- Co-authors
- Marcus BantscheffMikhail M. SavitskiGavain M.A. SweetmanThilo WernerCarola DoceBernhard KüsterHolger FrankenIsabelle Becher
- Journals
- Journal of Proteome Research (3 papers)Analytical Chemistry (2 papers)ACS Chemical Biology (2 papers)Journal of the American Society for Mass Spectrometry (1 paper)Chemical Science (1 paper)
- Partner nations
- GermanyUnited KingdomJapan
In The Last Decade
Toby Mathieson
12 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Spectroscopy 630
- Molecular Biology 1.2k
- Cell Biology 153
- Computational Theory and Mathematics 93
- Aging 10
Countries citing papers authored by Toby Mathieson
This map shows the geographic impact of Toby Mathieson'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 Toby Mathieson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby Mathieson more than expected).
Fields of papers citing papers by Toby Mathieson
This network shows the impact of papers produced by Toby Mathieson. 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 Toby Mathieson. The network helps show where Toby Mathieson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toby Mathieson, 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 | 1 | |
| 2 | 2021 | 30 | |
| 3 | 2018 | 250 | |
| 4 | 2016 | 23 | |
| 5 | Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometry Hit paper breakdown → | 2015 | 434 |
| 6 | 2014 | 179 | |
| 7 | 2013 | 213 | |
| 8 | 2012 | 39 | |
| 9 | 2010 | 231 | |
| 10 | 2010 | 62 | |
| 11 | 2010 | 29 | |
| 12 | 2010 | 6 |
About Toby Mathieson
Toby Mathieson is a scholar working on Spectroscopy, Molecular Biology, Inorganic Chemistry, Cell Biology and Immunology, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Click Chemistry and Applications (1 paper), Protein Structure and Dynamics (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Spectroscopy (630 citations), Molecular Biology (1.2k citations), Cell Biology (153 citations), Computational Theory and Mathematics (93 citations) and Aging (10 citations). Toby Mathieson has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Marcus Bantscheff, Mikhail M. Savitski, Gavain M.A. Sweetman, Thilo Werner, Carola Doce, Bernhard Küster, Holger Franken, Isabelle Becher, Nico Zinn and Manja Lang. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, ACS Chemical Biology, Journal of the American Society for Mass Spectrometry and Chemical Science.
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.