Tomáš Mazel
Impact in
-
- Neuroscience and Neuropharmacology Research
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 6
-
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 3
- Co-authors
- Eva Syková (9 shared papers)Z. Šimonová (3 shared papers)Ivan Voříšek (4 shared papers)Leif Dehmelt (4 shared papers)Bridget S. Wilson (4 shared papers)Lýdia Vargová (2 shared papers)Yao‐Wen Wu (2 shared papers)Alexander J. Smith (2 shared papers)
- Journals
- Neuroscience (2 papers)Progress in brain research (2 papers)Biophysical Journal (2 papers)Nucleus (2 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- CzechiaGermanyUnited States
In The Last Decade
Tomáš Mazel
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 429
- Developmental Neuroscience 89
- Cell Biology 309
- Neurology 120
- Physiology 38
Countries citing papers authored by Tomáš Mazel
This map shows the geographic impact of Tomáš Mazel'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 Tomáš Mazel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Mazel more than expected).
Fields of papers citing papers by Tomáš Mazel
This network shows the impact of papers produced by Tomáš Mazel. 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 Tomáš Mazel. The network helps show where Tomáš Mazel may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomáš Mazel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 149 | |
| 2 | 2004 | 106 | |
| 3 | 2005 | 98 | |
| 4 | 1998 | 94 | |
| 5 | 2006 | 93 | |
| 6 | 2002 | 88 | |
| 7 | 2017 | 75 | |
| 8 | 2005 | 60 | |
| 9 | 2002 | 58 | |
| 10 | 2000 | 57 | |
| 11 | 2002 | 56 | |
| 12 | 2001 | 52 | |
| 13 | 2020 | 37 | |
| 14 | 2016 | 37 | |
| 15 | 2011 | 33 | |
| 16 | 1999 | 30 | |
| 17 | 2016 | 25 | |
| 18 | 2000 | 24 | |
| 19 | 2016 | 22 | |
| 20 | 1999 | 22 |
About Tomáš Mazel
Tomáš Mazel is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Microtubule and mitosis dynamics (3 papers), Cellular transport and secretion (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (429 citations), Developmental Neuroscience (89 citations), Cell Biology (309 citations), Neurology (120 citations) and Physiology (38 citations). Tomáš Mazel has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include Eva Syková, Z. Šimonová, Ivan Voříšek, Leif Dehmelt, Bridget S. Wilson, Lýdia Vargová, Yao‐Wen Wu, Alexander J. Smith, Aymelt Itzen and Julia Blümer. Their work appears in journals such as Neuroscience, Progress in brain research, Biophysical Journal, Nucleus and The Journal of Cell Biology.
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.