Simone Steinbach
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
- S100 Proteins and Annexins 2
- Glycosylation and Glycoproteins Research 1
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- Advanced Proteomics Techniques and Applications 8
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Katrin Marcus (14 shared papers)Katalin Barkovits (4 shared papers)Martin Eisenacher (4 shared papers)Caroline May (12 shared papers)Julian Uszkoreit (3 shared papers)Sandra Pacharra (3 shared papers)Kathy Pfeiffer (2 shared papers)Brit Mollenhauer (2 shared papers)
- Journals
- Data in Brief (5 papers)Journal of Neural Transmission (1 paper)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Advanced Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyBrazilUnited States
In The Last Decade
Simone Steinbach
15 papers receiving 311 citations
Peers
Comparison fields: 5 of 74
- Spectroscopy 119
- Neurology 55
- Molecular Biology 187
- Neurology 18
- Genetics 18
Countries citing papers authored by Simone Steinbach
This map shows the geographic impact of Simone Steinbach'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 Simone Steinbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Steinbach more than expected).
Fields of papers citing papers by Simone Steinbach
This network shows the impact of papers produced by Simone Steinbach. 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 Simone Steinbach. The network helps show where Simone Steinbach may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Steinbach, 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 | 2019 | 120 | |
| 2 | 2018 | 46 | |
| 3 | 2016 | 35 | |
| 4 | 2018 | 35 | |
| 5 | 2019 | 26 | |
| 6 | 2015 | 14 | |
| 7 | 2014 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 6 | |
| 10 | 2019 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 1 |
About Simone Steinbach
Simone Steinbach is a scholar working on Molecular Biology, Spectroscopy, Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 15 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Alzheimer's disease research and treatments (3 papers), Mass Spectrometry Techniques and Applications (3 papers), S100 Proteins and Annexins (2 papers), Genetic Neurodegenerative Diseases (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Spectroscopy (119 citations), Neurology (55 citations), Molecular Biology (187 citations), Neurology (18 citations) and Genetics (18 citations). Simone Steinbach has collaborated with scholars based in Germany, Brazil and United States. Frequent co-authors include Katrin Marcus, Katalin Barkovits, Martin Eisenacher, Caroline May, Julian Uszkoreit, Sandra Pacharra, Kathy Pfeiffer, Brit Mollenhauer, Sara Galozzi and Manfred Gerlach. Their work appears in journals such as Data in Brief, Journal of Neural Transmission, PROTEOMICS - CLINICAL APPLICATIONS, Advanced Biology and PLoS ONE.
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.