Thilo Werner
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 7
- Mass Spectrometry Techniques and Applications 6
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways 8
- Protein Degradation and Inhibitors 7
- Metabolomics and Mass Spectrometry Studies 3
- Cell Biology top 5%
- Hematology top 5%
- Multiple Myeloma Research and Treatments 6
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- Monoclonal and Polyclonal Antibodies Research 4
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- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Marcus BantscheffMikhail M. SavitskiBernhard KüsterGerard DrewesMaria Fälth SavitskiFriedrich ReinhardHolger FrankenCarola Doce
- Journals
- Journal of Medicinal Chemistry (4 papers)ACS Chemical Biology (3 papers)Analytical Chemistry (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Thilo Werner
25 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Spectroscopy 1.3k
- Molecular Biology 2.8k
- Computational Theory and Mathematics 345
- Cell Biology 311
- Hematology 180
Countries citing papers authored by Thilo Werner
This map shows the geographic impact of Thilo Werner'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 Thilo Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thilo Werner more than expected).
Fields of papers citing papers by Thilo Werner
This network shows the impact of papers produced by Thilo Werner. 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 Thilo Werner. The network helps show where Thilo Werner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thilo Werner, 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 | 2024 | 2 | |
| 2 | 2021 | 30 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 63 | |
| 5 | 2019 | 176 | |
| 6 | 2019 | 33 | |
| 7 | 2018 | 18 | |
| 8 | 2017 | 96 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 165 | |
| 11 | 2016 | 67 | |
| 12 | Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometrybreakdown → | 2015 | 434 |
| 13 | 2015 | 219 | |
| 14 | Tracking cancer drugs in living cells by thermal profiling of the proteomebreakdown → | 2014 | 796 |
| 15 | 2013 | 87 | |
| 16 | 2012 | 20 | |
| 17 | 2012 | 150 | |
| 18 | 2010 | 55 | |
| 19 | Computational prediction of proteotypic peptides for quantitative proteomicsbreakdown → | 2006 | 551 |
| 20 | 2004 | 214 |
About Thilo Werner
Thilo Werner is a scholar working on Hematology, Spectroscopy and Molecular Biology, having authored 25 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Advanced Proteomics Techniques and Applications (7 papers), Protein Degradation and Inhibitors (7 papers), Multiple Myeloma Research and Treatments (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Spectroscopy (1.3k citations), Molecular Biology (2.8k citations) and Computational Theory and Mathematics (345 citations). Thilo Werner has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Marcus Bantscheff, Mikhail M. Savitski, Bernhard Küster, Gerard Drewes, Maria Fälth Savitski, Friedrich Reinhard, Holger Franken, Carola Doce, Gavain M.A. Sweetman and Dirk Eberhard. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Chemical Biology, Analytical Chemistry, Nature Methods and Scientific Reports.
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.