Stephen Tate
- Spectroscopy top 0.2%
- Advanced Proteomics Techniques and Applications 17
- Mass Spectrometry Techniques and Applications 13
- Analytical Chemistry and Chromatography 3
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies 9
- Protein purification and stability 4
- Viral Infectious Diseases and Gene Expression in Insects 2
- Cell Biology top 5%
- Cellular transport and secretion 2
- Aging top 10%
- Cancer Research top 10%
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- Advanced Chemical Sensor Technologies 3
- Co-authors
- R. F. BonnerRuedi AebersoldLukas ReiterHannes RöstLudovic GilletPedro NavarroNathalie SelevsekTony Pawson
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Stephen Tate
28 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Spectroscopy 2.0k
- Molecular Biology 3.0k
- Cell Biology 435
- Aging 25
- Cancer Research 197
Countries citing papers authored by Stephen Tate
This map shows the geographic impact of Stephen Tate'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 Stephen Tate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tate more than expected).
Fields of papers citing papers by Stephen Tate
This network shows the impact of papers produced by Stephen Tate. 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 Stephen Tate. The network helps show where Stephen Tate may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Tate, 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 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 42 | |
| 6 | Ultra-fast proteomics with Scanning SWATHbreakdown → | 2021 | 179 |
| 7 | 2020 | 14 | |
| 8 | 2020 | 26 | |
| 9 | 2019 | 6 | |
| 10 | 2016 | 244 | |
| 11 | 2013 | 232 | |
| 12 | 2013 | 223 | |
| 13 | Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysisbreakdown → | 2012 | 2064 |
| 14 | 2011 | 122 | |
| 15 | 2011 | 26 | |
| 16 | 2011 | 175 | |
| 17 | 2009 | 39 | |
| 18 | 2008 | 49 | |
| 19 | P197-M Automated Ion Selection and Method Building For MRM-Based Protein Validation And Quantification | 2007 | 2 |
| 20 | 1997 | 16 |
About Stephen Tate
Stephen Tate is a scholar working on Spectroscopy, Molecular Biology, Cell Biology, Obstetrics and Gynecology and Analytical Chemistry, having authored 30 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Protein purification and stability (4 papers), Analytical Chemistry and Chromatography (3 papers), Advanced Chemical Sensor Technologies (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Spectroscopy (2.0k citations), Molecular Biology (3.0k citations), Cell Biology (435 citations), Aging (25 citations) and Cancer Research (197 citations). Stephen Tate has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include R. F. Bonner, Ruedi Aebersold, Lukas Reiter, Hannes Röst, Ludovic Gillet, Pedro Navarro, Nathalie Selevsek, Tony Pawson, Gordana Ivosev and Anne‐Claude Gingras. Their work appears in journals such as PROTEOMICS, Nature Biotechnology, Nature Methods, Journal of Proteome Research and Journal of Biological Chemistry.
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.