Timo Glatter
- Endocrinology top 2%
- Vibrio bacteria research studies 20
- Molecular Biology top 2%
- Bacterial biofilms and quorum sensing 16
- Microbial Metabolic Engineering and Bioproduction 12
- RNA and protein synthesis mechanisms 11
- Genomics and Phylogenetic Studies 10
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 10
- Cell Biology top 2%
- Molecular Medicine top 5%
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- Bacterial Genetics and Biotechnology 32
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- Bacteriophages and microbial interactions 10
- Co-authors
- Ruedi AebersoldAlexander SchmidtMatthias GstaigerErik AhrnéAlexander WepfChristina LudwigAlbert J. R. HeckErich A. Nigg
- Journals
- Nature Communications (12 papers)Journal of Proteome Research (7 papers)Nature Microbiology (5 papers)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Timo Glatter
97 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 136
- Endocrinology 282
- Molecular Biology 2.7k
- Spectroscopy 491
- Cell Biology 485
- Molecular Medicine 121
Countries citing papers authored by Timo Glatter
This map shows the geographic impact of Timo Glatter'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 Timo Glatter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Glatter more than expected).
Fields of papers citing papers by Timo Glatter
This network shows the impact of papers produced by Timo Glatter. 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 Timo Glatter. The network helps show where Timo Glatter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Timo Glatter, 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 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 19 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 20 | |
| 16 | 2020 | 23 | |
| 17 | 2020 | 69 | |
| 18 | 2019 | 25 | |
| 19 | 2019 | 44 | |
| 20 | 2019 | 67 |
About Timo Glatter
Timo Glatter is a scholar working on Endocrinology, Molecular Medicine and Genetics, having authored 105 papers that have together received 3.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (32 papers), Vibrio bacteria research studies (20 papers), Bacterial biofilms and quorum sensing (16 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), RNA and protein synthesis mechanisms (11 papers), Genomics and Phylogenetic Studies (10 papers), Bacteriophages and microbial interactions (10 papers) and Advanced Proteomics Techniques and Applications (10 papers). The work is most often cited by research in Endocrinology (282 citations), Molecular Biology (2.7k citations) and Spectroscopy (491 citations). Timo Glatter has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Ruedi Aebersold, Alexander Schmidt, Matthias Gstaiger, Erik Ahrné, Alexander Wepf, Christina Ludwig, Albert J. R. Heck, Erich A. Nigg, Victor Sourjik and Takatoshi Iijima. Their work appears in journals such as Nature Communications, Journal of Proteome Research, Nature Microbiology, Metabolic Engineering and Cell 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.