Vitali Matyash
- Molecular Biology top 5%
- Neurology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Spectroscopy top 2%
- Co-authors
- Teymuras V. KurzchaliaHelmut KettenmannAndrej ShevchenkoDominik SchwudkeGerhard LiebischAndreas ReichenbachThomas MøllerAlexei Verkhratsky
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (13 papers)Neuroscience and Neuropharmacology Research (7 papers)Adenosine and Purinergic Signaling (5 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Vitali Matyash
21 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 2.0k
- Neurology 1.1k
- Cellular and Molecular Neuroscience 1.0k
- Physiology 734
- Spectroscopy 399
Countries citing papers authored by Vitali Matyash
This map shows the geographic impact of Vitali Matyash'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 Vitali Matyash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vitali Matyash more than expected).
Fields of papers citing papers by Vitali Matyash
This network shows the impact of papers produced by Vitali Matyash. 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 Vitali Matyash. The network helps show where Vitali Matyash may publish in the future.
Co-authorship network of co-authors of Vitali Matyash
This figure shows the co-authorship network connecting the top 25 collaborators of Vitali Matyash. A scholar is included among the top collaborators of Vitali Matyash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vitali Matyash. Vitali Matyash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 46 | |
| 3 | 7 | |
| 4 | 60 | |
| 5 | 29 | |
| 6 | 50 | |
| 7 | 45 | |
| 8 | 86 | |
| 9 | 95 | |
| 10 | 364 | |
| 11 | 29 | |
| 12 | 116 | |
| 13 | 303 | |
| 14 | 69 | |
| 15 | Lipid extraction by methyl-tert-butyl ether for high-throughput lipidomicsbreakdown → | 1819 |
| 16 | 130 | |
| 17 | 146 | |
| 18 | 54 | |
| 19 | 108 | |
| 20 | Microdomains for neuron–glia interaction: parallel fiber signaling to Bergmann glial cellsbreakdown → | 535 |
About Vitali Matyash
Vitali Matyash is a scholar working on Neurology, Aging and Physiology, having authored 22 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Adenosine and Purinergic Signaling (5 papers). The work is most often cited by research in Neurology (1.1k citations), Aging (230 citations) and Developmental Neuroscience (376 citations). Vitali Matyash has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Teymuras V. Kurzchalia, Helmut Kettenmann, Andrej Shevchenko, Dominik Schwudke, Gerhard Liebisch, Andreas Reichenbach, Thomas Møller, Alexei Verkhratsky, Jens Grosche and Grietje Krabbe. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Neuroscience.
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.