Roman Sankowski
Impact in
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
Papers in
- Neurology 25
- Neuroinflammation and Neurodegeneration Mechanisms 25
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- Tryptophan and brain disorders 6
- Co-authors
- Marco PrinzTakahiro MasudaOri StaszewskiYousef Al‐AbedDominic GrünSagar SagarSimone MaderJosef Priller
- Journals
- Nature Neuroscience (3 papers)Nature Communications (2 papers)Journal of Neuro-Oncology (2 papers)Cancers (2 papers)Molecular Medicine (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Roman Sankowski
42 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Neurology 2.5k
- Biological Psychiatry 373
- Developmental Neuroscience 389
- Immunology 1.6k
- Behavioral Neuroscience 99
Countries citing papers authored by Roman Sankowski
This map shows the geographic impact of Roman Sankowski'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 Roman Sankowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Sankowski more than expected).
Fields of papers citing papers by Roman Sankowski
This network shows the impact of papers produced by Roman Sankowski. 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 Roman Sankowski. The network helps show where Roman Sankowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roman Sankowski, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | The pre-existing T cell landscape determines the response to bispecific T cell engagers in multiple myeloma patients Hit paper breakdown → | 2023 | 131 |
| 7 | 2023 | 19 | |
| 8 | 2023 | 64 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 58 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 210 | |
| 14 | Microglia Heterogeneity in the Single-Cell Era Hit paper breakdown → | 2020 | 471 |
| 15 | 2020 | 2 | |
| 16 | 2020 | 13 | |
| 17 | 2019 | 282 | |
| 18 | 2019 | 45 | |
| 19 | 2015 | 191 | |
| 20 | 2011 | 358 |
About Roman Sankowski
Roman Sankowski is a scholar working on Neurology, Biological Psychiatry, Immunology, Developmental Neuroscience and Genetics, having authored 44 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (25 papers), Immune cells in cancer (14 papers), Single-cell and spatial transcriptomics (6 papers), Tryptophan and brain disorders (6 papers), Glioma Diagnosis and Treatment (5 papers), Alzheimer's disease research and treatments (5 papers), Immune Response and Inflammation (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Neurology (2.5k citations), Biological Psychiatry (373 citations), Developmental Neuroscience (389 citations), Immunology (1.6k citations) and Behavioral Neuroscience (99 citations). Roman Sankowski has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Marco Prinz, Takahiro Masuda, Ori Staszewski, Yousef Al‐Abed, Dominic Grün, Sagar Sagar, Simone Mader, Josef Priller, Chotima Böttcher and Christian Scheiwe. Their work appears in journals such as Nature Neuroscience, Nature Communications, Journal of Neuro-Oncology, Cancers and Molecular Medicine.
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.