Tamara Raschka
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 3
- Biomedical Text Mining and Ontologies 2
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- Parkinson's Disease Mechanisms and Treatments 5
- Neurological disorders and treatments 3
- Co-authors
- Christian Ebeling (4 shared papers)Martin Hofmann‐Apitius (6 shared papers)Daniel Domingo‐Fernándéz (4 shared papers)Alpha Tom Kodamullil (4 shared papers)Reagon Karki (2 shared papers)Oliver Brüstle (1 shared paper)Harald Neumann (1 shared paper)Veit Hornung (1 shared paper)
- Journals
- Scientific Reports (2 papers)Bioinformatics (2 papers)npj Parkinson s Disease (2 papers)Glia (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- GermanyLuxembourgFrance
In The Last Decade
Tamara Raschka
11 papers receiving 234 citations
Peers
Comparison fields: 5 of 77
- Neurology 46
- Biological Psychiatry 12
- Computational Theory and Mathematics 36
- Neurology 31
- Physiology 46
Countries citing papers authored by Tamara Raschka
This map shows the geographic impact of Tamara Raschka'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 Tamara Raschka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Raschka more than expected).
Fields of papers citing papers by Tamara Raschka
This network shows the impact of papers produced by Tamara Raschka. 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 Tamara Raschka. The network helps show where Tamara Raschka may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Raschka, 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 | 2020 | 72 | |
| 2 | 2021 | 71 | |
| 3 | 2017 | 29 | |
| 4 | 2024 | 16 | |
| 5 | 2017 | 14 | |
| 6 | 2023 | 10 | |
| 7 | 2016 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Tamara Raschka
Tamara Raschka is a scholar working on Molecular Biology, Neurology, Artificial Intelligence, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 13 papers that have together received 237 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (3 papers), Gene expression and cancer classification (3 papers), Gene Regulatory Network Analysis (3 papers), Computational Drug Discovery Methods (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Neurology (46 citations), Biological Psychiatry (12 citations), Computational Theory and Mathematics (36 citations), Neurology (31 citations) and Physiology (46 citations). Tamara Raschka has collaborated with scholars based in Germany, Luxembourg and France. Frequent co-authors include Christian Ebeling, Martin Hofmann‐Apitius, Daniel Domingo‐Fernándéz, Alpha Tom Kodamullil, Reagon Karki, Oliver Brüstle, Harald Neumann, Veit Hornung, Bruce Schultz and Ichiro Nozaki. Their work appears in journals such as Scientific Reports, Bioinformatics, npj Parkinson s Disease, Glia and PLoS Computational Biology.
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.