M Beresewicz
- Developmental Neuroscience top 10%
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- Neuroscience and Neuropharmacology Research 10
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Neurological diseases and metabolism 2
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- Tryptophan and brain disorders 3
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- Mitochondrial Function and Pathology 13
- ATP Synthase and ATPases Research 3
- Genomics, phytochemicals, and oxidative stress 2
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- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- Barbara ZabłockaJoanna E. KowalczykDariusz C. GóreckiAnna SarnowskaJ. DłużniewskaKrystyna Domańska‐JanikSurjit Kaila SraiGeoffrey Goldspink
- Partner nations
- PolandUnited KingdomUnited States
In The Last Decade
M Beresewicz
31 papers receiving 547 citations
Peers
Comparison fields: 5 of 79
- Developmental Neuroscience 46
- Cellular and Molecular Neuroscience 169
- Neurology 68
- Biological Psychiatry 15
- Molecular Biology 377
Countries citing papers authored by M Beresewicz
This map shows the geographic impact of M Beresewicz'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 M Beresewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Beresewicz more than expected).
Fields of papers citing papers by M Beresewicz
This network shows the impact of papers produced by M Beresewicz. 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 M Beresewicz. The network helps show where M Beresewicz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M Beresewicz, 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 | 2022 | 7 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 8 | |
| 6 | 2017 | 14 | |
| 7 | 2017 | 7 | |
| 8 | 2015 | 37 | |
| 9 | 2014 | 13 | |
| 10 | 2011 | 10 | |
| 11 | 2011 | 22 | |
| 12 | 2010 | 24 | |
| 13 | 2010 | 48 | |
| 14 | 2009 | 20 | |
| 15 | 2009 | 50 | |
| 16 | 2008 | 26 | |
| 17 | [Scaffold proteins (MAGUK, Shank and Homer) in postsynaptic density in the central nervous system]. | 2007 | 4 |
| 18 | 2007 | 32 | |
| 19 | 2006 | 15 | |
| 20 | 2004 | 26 |
About M Beresewicz
M Beresewicz is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Neurology, having authored 32 papers that have together received 555 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), ATP Synthase and ATPases Research (3 papers), Tryptophan and brain disorders (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Neurological diseases and metabolism (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Developmental Neuroscience (46 citations), Cellular and Molecular Neuroscience (169 citations) and Neurology (68 citations). M Beresewicz has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Barbara Zabłocka, Joanna E. Kowalczyk, Dariusz C. Górecki, Anna Sarnowska, J. Dłużniewska, Krystyna Domańska‐Janik, Surjit Kaila Srai, Geoffrey Goldspink, Ian Johnson and Balasubramaniam Ramesh. Their work appears in journals such as PLoS ONE, Scientific Reports and The FASEB Journal.
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.