Mišo Mitkovski
- Developmental Neuroscience top 1%
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 4
- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Neuroscience and Neuropharmacology Research 5
- Biological Psychiatry top 10%
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 5
- Ion channel regulation and function 4
- Lipid Membrane Structure and Behavior 3
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- Cellular transport and secretion 5
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- Advanced Fluorescence Microscopy Techniques 4
Mišo Mitkovski
38 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Developmental Neuroscience 491
- Neurology 405
- Cellular and Molecular Neuroscience 580
- Biological Psychiatry 53
- Molecular Biology 1.0k
Countries citing papers authored by Mišo Mitkovski
This map shows the geographic impact of Mišo Mitkovski'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 Mišo Mitkovski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mišo Mitkovski more than expected).
Fields of papers citing papers by Mišo Mitkovski
This network shows the impact of papers produced by Mišo Mitkovski. 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 Mišo Mitkovski. The network helps show where Mišo Mitkovski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mišo Mitkovski, 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 | 2023 | 7 | |
| 2 | 2019 | 10 | |
| 3 | 2019 | 53 | |
| 4 | Defective cholesterol clearance limits remyelination in the aged central nervous systembreakdown → | 2018 | 395 |
| 5 | 2018 | 32 | |
| 6 | 2017 | 36 | |
| 7 | 2016 | 18 | |
| 8 | 2015 | 43 | |
| 9 | 2015 | 173 | |
| 10 | 2014 | 12 | |
| 11 | 2014 | 24 | |
| 12 | 2012 | 15 | |
| 13 | 2012 | 24 | |
| 14 | 2012 | 2 | |
| 15 | 2010 | 162 | |
| 16 | 2010 | 10 | |
| 17 | 2009 | 2 | |
| 18 | 2009 | 102 | |
| 19 | Satb2 Is a Postmitotic Determinant for Upper-Layer Neuron Specification in the Neocortexbreakdown → | 2008 | 505 |
| 20 | 2008 | 22 |
About Mišo Mitkovski
Mišo Mitkovski is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Neurology and Developmental Neuroscience, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Cellular transport and secretion (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Ion channel regulation and function (4 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Developmental Neuroscience (491 citations), Neurology (405 citations), Cellular and Molecular Neuroscience (580 citations), Biological Psychiatry (53 citations) and Molecular Biology (1.0k citations). Mišo Mitkovski has collaborated with scholars based in Germany, Brazil and France. Frequent co-authors include Mikael Simons, Camino de Juan Romero, Amanda F. P. Cheung, Manuela Schwark, Nenad Šestan, Zoltán Molnár, Victor Tarabykin, Sergey B. Akopov, Kenneth Y. Kwan and Olga V. Britanova. Their work appears in journals such as Neuron, Journal of Neuroscience, Glia, Biophysical Journal and PLoS ONE.
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.