Martin Uherek
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Redox biology and oxidative stress 1
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- Alzheimer's disease research and treatments 2
- Co-authors
- Barbara Kaltschmidt (2 shared papers)Benedikt Volk (2 shared papers)Christian Kaltschmidt (2 shared papers)Patrick A. Baeuerle (1 shared paper)Henning Wellmann (1 shared paper)D. Chorvát (5 shared papers)Alžbeta Chorvátová (3 shared papers)Anton Mateašík (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Laser Physics (1 paper)Dyes and Pigments (1 paper)Methods and Applications in Fluorescence (1 paper)Frontiers in Physics (1 paper)
- Partner nations
- SlovakiaGermanyNetherlands
In The Last Decade
Martin Uherek
7 papers receiving 809 citations
Martin Uherek's Hit Papers
Peers
Comparison fields: 5 of 81
- Neurology 244
- Biological Psychiatry 55
- Cancer Research 264
- Physiology 341
- Cellular and Molecular Neuroscience 131
Countries citing papers authored by Martin Uherek
This map shows the geographic impact of Martin Uherek'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 Martin Uherek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Uherek more than expected).
Fields of papers citing papers by Martin Uherek
This network shows the impact of papers produced by Martin Uherek. 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 Martin Uherek. The network helps show where Martin Uherek may publish in the future.
Co-authors
The 15 scholars most cited alongside Martin Uherek, 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 | Transcription factor NF-κB is activated in primary neurons by amyloid β peptides and in neurons surrounding early plaques from patients with Alzheimer disease Hit paper breakdown → | 1997 | 532 |
| 2 | 1999 | 250 | |
| 3 | 2020 | 22 | |
| 4 | 2017 | 12 | |
| 5 | 2021 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2016 | 1 |
About Martin Uherek
Martin Uherek is a scholar working on Molecular Biology, Physiology, Pollution, Cancer Research and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 821 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), NF-κB Signaling Pathways (2 papers), Luminescence and Fluorescent Materials (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Photochemistry and Electron Transfer Studies (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper), Microplastics and Plastic Pollution (1 paper) and Redox biology and oxidative stress (1 paper). The work is most often cited by research in Neurology (244 citations), Biological Psychiatry (55 citations), Cancer Research (264 citations), Physiology (341 citations) and Cellular and Molecular Neuroscience (131 citations). Martin Uherek has collaborated with scholars based in Slovakia, Germany and Netherlands. Frequent co-authors include Barbara Kaltschmidt, Benedikt Volk, Christian Kaltschmidt, Patrick A. Baeuerle, Henning Wellmann, D. Chorvát, Alžbeta Chorvátová, Anton Mateašík, Marek Cigáň and Pavol Zahradnı́k. Their work appears in journals such as Proceedings of the National Academy of Sciences, Laser Physics, Dyes and Pigments, Methods and Applications in Fluorescence and Frontiers in Physics.
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.