Markus Kipp
- Developmental Neuroscience top 0.1%
- Neurogenesis and neuroplasticity mechanisms 59
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms 72
- Peripheral Neuropathies and Disorders 8
- Biological Psychiatry top 1%
- Pathology and Forensic Medicine top 0.5%
- Multiple Sclerosis Research Studies 64
- Behavioral Neuroscience top 2%
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- Immune Response and Inflammation 18
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- Sphingolipid Metabolism and Signaling 8
- S100 Proteins and Annexins 7
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- Alzheimer's disease research and treatments 7
- Co-authors
- Cordian BeyerTim ClarnerSandra AmorJon DangPaul van der ValkKim OhlKlaus TenbrockSonja Johann
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Markus Kipp
159 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 139
- Developmental Neuroscience 2.1k
- Neurology 2.9k
- Biological Psychiatry 334
- Pathology and Forensic Medicine 2.0k
- Behavioral Neuroscience 254
Countries citing papers authored by Markus Kipp
This map shows the geographic impact of Markus Kipp'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 Markus Kipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Kipp more than expected).
Fields of papers citing papers by Markus Kipp
This network shows the impact of papers produced by Markus Kipp. 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 Markus Kipp. The network helps show where Markus Kipp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Kipp, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 35 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 22 | |
| 11 | 2018 | 13 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 9 | |
| 14 | 2017 | 27 | |
| 15 | Acute axonal damage in three different murine models of multiple sclerosis | 2016 | 4 |
| 16 | 2015 | 145 | |
| 17 | 2013 | 9 | |
| 18 | 2012 | 37 | |
| 19 | 2011 | 51 | |
| 20 | 2009 | 33 |
About Markus Kipp
Markus Kipp is a scholar working on Developmental Neuroscience, Neurology and Pathology and Forensic Medicine, having authored 160 papers that have together received 6.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (72 papers), Multiple Sclerosis Research Studies (64 papers), Neurogenesis and neuroplasticity mechanisms (59 papers), Immune Response and Inflammation (18 papers), Peripheral Neuropathies and Disorders (8 papers), Sphingolipid Metabolism and Signaling (8 papers), S100 Proteins and Annexins (7 papers) and Alzheimer's disease research and treatments (7 papers). The work is most often cited by research in Developmental Neuroscience (2.1k citations), Neurology (2.9k citations) and Biological Psychiatry (334 citations). Markus Kipp has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Cordian Beyer, Tim Clarner, Sandra Amor, Jon Dang, Paul van der Valk, Kim Ohl, Klaus Tenbrock, Sonja Johann, Adib Zendedel and Tanja Hochstrasser. Their work appears in journals such as Journal of Molecular Neuroscience, Cells, Glia, Molecular Neurobiology and International Journal of Molecular Sciences.
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.