Sascha Sauer
- Clinical Biochemistry top 0.5%
- Molecular Biology top 2%
- Epigenetics and DNA Methylation 12
- Metabolomics and Mass Spectrometry Studies 11
- Peroxisome Proliferator-Activated Receptors 10
- Single-cell and spatial transcriptomics 8
- Immunology top 5%
- T-cell and B-cell Immunology 8
- Cancer Research top 5%
- Neurology top 2%
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- Mass Spectrometry Techniques and Applications 15
- Advanced Proteomics Techniques and Applications 9
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- Adipose Tissue and Metabolism 8
- Co-authors
- Magdalena KliemAnja FreiwaldChristopher WeidnerRamón VidalCornelius FischerDavid MeierhoferHans LehrachMichaël Schubert
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Sascha Sauer
118 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Clinical Biochemistry 623
- Molecular Biology 3.7k
- Immunology 897
- Cancer Research 613
- Neurology 331
Countries citing papers authored by Sascha Sauer
This map shows the geographic impact of Sascha Sauer'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 Sascha Sauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha Sauer more than expected).
Fields of papers citing papers by Sascha Sauer
This network shows the impact of papers produced by Sascha Sauer. 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 Sascha Sauer. The network helps show where Sascha Sauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sascha Sauer, 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 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 27 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 10 | |
| 6 | Single-cell sequencing of human midbrain reveals glial activation and a Parkinson-specific neuronal statebreakdown → | 2021 | 306 |
| 7 | 2021 | 22 | |
| 8 | 2020 | 44 | |
| 9 | 2019 | 180 | |
| 10 | 2019 | 24 | |
| 11 | 2018 | 62 | |
| 12 | 2017 | 15 | |
| 13 | 2016 | 103 | |
| 14 | 2015 | 32 | |
| 15 | 2014 | 30 | |
| 16 | 2009 | 98 | |
| 17 | 2009 | 21 | |
| 18 | 2008 | 248 | |
| 19 | 2008 | 75 | |
| 20 | 2006 | 18 |
About Sascha Sauer
Sascha Sauer is a scholar working on Geriatrics and Gerontology, Immunology and Molecular Biology, having authored 119 papers that have together received 6.6k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (15 papers), Epigenetics and DNA Methylation (12 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Advanced Proteomics Techniques and Applications (9 papers), Adipose Tissue and Metabolism (8 papers), T-cell and B-cell Immunology (8 papers) and Single-cell and spatial transcriptomics (8 papers). The work is most often cited by research in Clinical Biochemistry (623 citations), Molecular Biology (3.7k citations) and Immunology (897 citations). Sascha Sauer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Magdalena Kliem, Anja Freiwald, Christopher Weidner, Ramón Vidal, Cornelius Fischer, David Meierhofer, Hans Lehrach, Michaël Schubert, Mathew J. Garnett and Bertram Klinger. Their work appears in journals such as Nature Communications, Nucleic Acids Research, PLoS ONE, Molecular and Cellular Endocrinology and PROTEOMICS.
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.