Melitta Schachner
- Developmental Neuroscience top 0.02%
- Neurogenesis and neuroplasticity mechanisms 64
- Cellular and Molecular Neuroscience top 0.05%
- Neuroscience and Neuropharmacology Research 73
- Nerve injury and regeneration 36
- Axon Guidance and Neuronal Signaling 26
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms 32
- Cell Biology top 0.2%
- Zebrafish Biomedical Research Applications 15
- Behavioral Neuroscience top 0.5%
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- Memory and Neural Mechanisms 22
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- Cell Adhesion Molecules Research 18
- Co-authors
- Alexander DityatevHelmut KettenmannUdo BartschOlena BukaloVladimir SytnykThomas BeckerIryna Leshchyns’kaCatherina G. Becker
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Melitta Schachner
217 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Developmental Neuroscience 3.9k
- Cellular and Molecular Neuroscience 7.8k
- Neurology 1.8k
- Cell Biology 2.8k
- Behavioral Neuroscience 565
Countries citing papers authored by Melitta Schachner
This map shows the geographic impact of Melitta Schachner'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 Melitta Schachner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melitta Schachner more than expected).
Fields of papers citing papers by Melitta Schachner
This network shows the impact of papers produced by Melitta Schachner. 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 Melitta Schachner. The network helps show where Melitta Schachner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Melitta Schachner, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2020 | 6 | |
| 6 | 2018 | 24 | |
| 7 | 2016 | 6 | |
| 8 | 2013 | 38 | |
| 9 | 2012 | 42 | |
| 10 | 2010 | 100 | |
| 11 | 2010 | 33 | |
| 12 | 2009 | 64 | |
| 13 | 2007 | 77 | |
| 14 | 2007 | 55 | |
| 15 | 2006 | 79 | |
| 16 | 2006 | 120 | |
| 17 | 2004 | 28 | |
| 18 | 2004 | 14 | |
| 19 | 1998 | 81 | |
| 20 | 1995 | 55 |
About Melitta Schachner
Melitta Schachner is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 221 papers that have together received 13.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (73 papers), Neurogenesis and neuroplasticity mechanisms (64 papers), Nerve injury and regeneration (36 papers), Neuroinflammation and Neurodegeneration Mechanisms (32 papers), Axon Guidance and Neuronal Signaling (26 papers), Memory and Neural Mechanisms (22 papers), Cell Adhesion Molecules Research (18 papers) and Zebrafish Biomedical Research Applications (15 papers). The work is most often cited by research in Developmental Neuroscience (3.9k citations), Cellular and Molecular Neuroscience (7.8k citations) and Neurology (1.8k citations). Melitta Schachner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Alexander Dityatev, Helmut Kettenmann, Udo Bartsch, Olena Bukalo, Vladimir Sytnyk, Thomas Becker, Iryna Leshchyns’ka, Catherina G. Becker, Fabio Morellini and Kurt H. Backus. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.