Ute Distler
Impact in
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Extracellular vesicles in disease
- Glycosylation and Glycoproteins Research
Papers in
-
- Metabolomics and Mass Spectrometry Studies 13
- Glycosylation and Glycoproteins Research 5
- Spectroscopy 15
- Advanced Proteomics Techniques and Applications 14
- Mass Spectrometry Techniques and Applications 11
- Co-authors
- Stefan Tenzer (55 shared papers)Jörg Kuharev (9 shared papers)Pedro Navarro (4 shared papers)Johannes Müthing (8 shared papers)Hansjörg Schild (4 shared papers)Yishai Levin (1 shared paper)Malte Sielaff (8 shared papers)Tobias Bopp (4 shared papers)
- Journals
- Analytical Chemistry (4 papers)Nature Communications (3 papers)Molecular Microbiology (3 papers)PROTEOMICS (3 papers)Journal of Proteome Research (3 papers)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Ute Distler
66 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 138
- Spectroscopy 873
- Molecular Biology 1.9k
- Cancer Research 279
- Immunology 332
- Endocrinology 82
Countries citing papers authored by Ute Distler
This map shows the geographic impact of Ute Distler'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 Ute Distler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Distler more than expected).
Fields of papers citing papers by Ute Distler
This network shows the impact of papers produced by Ute Distler. 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 Ute Distler. The network helps show where Ute Distler may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Distler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 380 | |
| 2 | 2013 | 357 | |
| 3 | 2016 | 250 | |
| 4 | 2016 | 231 | |
| 5 | 2014 | 215 | |
| 6 | 2017 | 210 | |
| 7 | 2021 | 163 | |
| 8 | 2021 | 139 | |
| 9 | 2014 | 82 | |
| 10 | 2007 | 71 | |
| 11 | 2016 | 68 | |
| 12 | 2009 | 68 | |
| 13 | 2009 | 66 | |
| 14 | 2008 | 57 | |
| 15 | 2017 | 55 | |
| 16 | 2014 | 48 | |
| 17 | 2018 | 39 | |
| 18 | 2009 | 38 | |
| 19 | 2013 | 34 | |
| 20 | 2020 | 31 |
About Ute Distler
Ute Distler is a scholar working on Molecular Biology, Spectroscopy, Immunology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 67 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Mass Spectrometry Techniques and Applications (11 papers), Glycosylation and Glycoproteins Research (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Malaria Research and Control (5 papers), Immune Cell Function and Interaction (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Spectroscopy (873 citations), Molecular Biology (1.9k citations), Cancer Research (279 citations), Immunology (332 citations) and Endocrinology (82 citations). Ute Distler has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Stefan Tenzer, Jörg Kuharev, Pedro Navarro, Johannes Müthing, Hansjörg Schild, Yishai Levin, Malte Sielaff, Tobias Bopp, Franziska Haderk and Peter Lichter. Their work appears in journals such as Analytical Chemistry, Nature Communications, Molecular Microbiology, PROTEOMICS and Journal of Proteome Research.
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.