Mark Katakowski
- Developmental Neuroscience top 0.1%
- Neurogenesis and neuroplasticity mechanisms 15
- Genetics top 0.2%
- Mesenchymal stem cell research 10
- Cancer Research top 0.5%
- MicroRNA in disease regulation 14
- Cancer, Hypoxia, and Metabolism 7
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 9
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- Extracellular vesicles in disease 9
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- Photodynamic Therapy Research Studies 8
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- Nanoplatforms for cancer theranostics 8
Mark Katakowski
52 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Developmental Neuroscience 1.7k
- Genetics 2.5k
- Cancer Research 2.5k
- Neurology 1.2k
- Cellular and Molecular Neuroscience 1.2k
Countries citing papers authored by Mark Katakowski
This map shows the geographic impact of Mark Katakowski'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 Mark Katakowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Katakowski more than expected).
Fields of papers citing papers by Mark Katakowski
This network shows the impact of papers produced by Mark Katakowski. 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 Mark Katakowski. The network helps show where Mark Katakowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Katakowski, 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 | MicroRNA-17–92 Cluster in Exosomes Enhance Neuroplasticity and Functional Recovery After Stroke in Ratsbreakdown → | 2017 | 450 |
| 2 | 2016 | 245 | |
| 3 | 2016 | 322 | |
| 4 | 2014 | 12 | |
| 5 | Exosomes from marrow stromal cells expressing miR-146b inhibit glioma growthbreakdown → | 2013 | 611 |
| 6 | 2012 | 54 | |
| 7 | 2010 | 182 | |
| 8 | 2009 | 21 | |
| 9 | 2009 | 53 | |
| 10 | 2009 | 7 | |
| 11 | 2008 | 31 | |
| 12 | 2007 | 44 | |
| 13 | 2005 | 40 | |
| 14 | 2004 | 86 | |
| 15 | 2004 | 315 | |
| 16 | 2004 | 108 | |
| 17 | 2003 | 472 | |
| 18 | 2003 | 34 | |
| 19 | 2003 | 63 | |
| 20 | 2002 | 234 |
About Mark Katakowski
Mark Katakowski is a scholar working on Developmental Neuroscience, Cancer Research and Neurology, having authored 52 papers that have together received 8.8k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (15 papers), MicroRNA in disease regulation (14 papers), Mesenchymal stem cell research (10 papers), Extracellular vesicles in disease (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Photodynamic Therapy Research Studies (8 papers), Nanoplatforms for cancer theranostics (8 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Developmental Neuroscience (1.7k citations), Genetics (2.5k citations) and Cancer Research (2.5k citations). Mark Katakowski has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Michael Chopp, Mei Lü, Jieli Chen, Zheng Gang Zhang, Hongqi Xin, Mikko Haataja, K. R. Elder, Martin Grant, Xuguang Zheng and Feng Jiang. Their work appears in journals such as Photochemistry and Photobiology, Journal of Cerebral Blood Flow & Metabolism, Cancer Letters, Lasers in Medical Science and Cancer Research.
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.