Simon Gutbier
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Pluripotent Stem Cells Research 5
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- Neuroinflammation and Neurodegeneration Mechanisms 7
- Barrier Structure and Function Studies 2
- Co-authors
- Marcel Leist (16 shared papers)Stefan Schildknecht (5 shared papers)Johannes Delp (6 shared papers)Thomas Härtung (3 shared papers)Markus Britschgi (4 shared papers)Lena Smirnova (2 shared papers)Christoph Patsch (4 shared papers)András Dinnyés (1 shared paper)
- Journals
- Archives of Toxicology (5 papers)Cell Death and Disease (3 papers)Frontiers in Immunology (2 papers)Antioxidants (2 papers)Glia (2 papers)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Simon Gutbier
22 papers receiving 800 citations
Peers
Comparison fields: 5 of 84
- Developmental Neuroscience 98
- Neurology 142
- Biological Psychiatry 19
- Cellular and Molecular Neuroscience 144
- Small Animals 43
Countries citing papers authored by Simon Gutbier
This map shows the geographic impact of Simon Gutbier'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 Simon Gutbier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Gutbier more than expected).
Fields of papers citing papers by Simon Gutbier
This network shows the impact of papers produced by Simon Gutbier. 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 Simon Gutbier. The network helps show where Simon Gutbier may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Gutbier, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 134 | |
| 2 | 2020 | 90 | |
| 3 | 2014 | 84 | |
| 4 | 2018 | 64 | |
| 5 | 2015 | 48 | |
| 6 | 2021 | 46 | |
| 7 | 2018 | 40 | |
| 8 | 2016 | 36 | |
| 9 | 2020 | 33 | |
| 10 | 2018 | 32 | |
| 11 | 2015 | 31 | |
| 12 | 2016 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2021 | 25 | |
| 15 | 2017 | 25 | |
| 16 | 2019 | 22 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 5 |
About Simon Gutbier
Simon Gutbier is a scholar working on Molecular Biology, Neurology, Physiology, Immunology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 804 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Pluripotent Stem Cells Research (5 papers), Immune cells in cancer (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Alzheimer's disease research and treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Barrier Structure and Function Studies (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Developmental Neuroscience (98 citations), Neurology (142 citations), Biological Psychiatry (19 citations), Cellular and Molecular Neuroscience (144 citations) and Small Animals (43 citations). Simon Gutbier has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Marcel Leist, Stefan Schildknecht, Johannes Delp, Thomas Härtung, Markus Britschgi, Lena Smirnova, Christoph Patsch, András Dinnyés, Hasan X. Avci and Sabrina Noël. Their work appears in journals such as Archives of Toxicology, Cell Death and Disease, Frontiers in Immunology, Antioxidants and Glia.
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.