Zoltán Máté
Impact in
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- Neuroscience and Neuropharmacology Research
- Plant Science top 2%
- Light effects on plants
- Plant Molecular Biology Research
Papers in
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- Neuroscience and Neuropharmacology Research 11
- Neuropeptides and Animal Physiology 4
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- Photosynthetic Processes and Mechanisms 9
- Co-authors
- Ferenc Nagy (7 shared papers)Roman Ulm (3 shared papers)Attila Oravecz (3 shared papers)Eberhard Schäfer (2 shared papers)Alexander Baumann (2 shared papers)Edward J. Oakeley (2 shared papers)Éva Ádám (2 shared papers)Gábor Szabó (15 shared papers)
- Journals
- Photosynthesis Research (3 papers)Brain Structure and Function (3 papers)Nature Communications (1 paper)The FASEB Journal (1 paper)ACS Omega (1 paper)
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
Zoltán Máté
30 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Cellular and Molecular Neuroscience 382
- Plant Science 799
- Molecular Biology 1.0k
- Neurology 97
- Cognitive Neuroscience 219
Countries citing papers authored by Zoltán Máté
This map shows the geographic impact of Zoltán Máté'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 Zoltán Máté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zoltán Máté more than expected).
Fields of papers citing papers by Zoltán Máté
This network shows the impact of papers produced by Zoltán Máté. 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 Zoltán Máté. The network helps show where Zoltán Máté may publish in the future.
Co-authors
The 25 scholars most cited alongside Zoltán Máté, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 409 | |
| 2 | 2006 | 304 | |
| 3 | 2015 | 267 | |
| 4 | 1997 | 101 | |
| 5 | 2014 | 77 | |
| 6 | 1998 | 75 | |
| 7 | 2014 | 73 | |
| 8 | 2003 | 62 | |
| 9 | 2008 | 47 | |
| 10 | 2009 | 39 | |
| 11 | 2015 | 36 | |
| 12 | 2021 | 34 | |
| 13 | 2021 | 33 | |
| 14 | 2019 | 31 | |
| 15 | 2017 | 28 | |
| 16 | 2000 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2014 | 23 | |
| 19 | 2013 | 21 | |
| 20 | 2016 | 16 |
About Zoltán Máté
Zoltán Máté is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Plant Science, Cognitive Neuroscience and Pharmacology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Photosynthetic Processes and Mechanisms (9 papers), Light effects on plants (9 papers), Algal biology and biofuel production (5 papers), Cannabis and Cannabinoid Research (5 papers), Memory and Neural Mechanisms (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (382 citations), Plant Science (799 citations), Molecular Biology (1.0k citations), Neurology (97 citations) and Cognitive Neuroscience (219 citations). Zoltán Máté has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Ferenc Nagy, Roman Ulm, Attila Oravecz, Eberhard Schäfer, Alexander Baumann, Edward J. Oakeley, Éva Ádám, Gábor Szabó, Imre Vass and Tibor Harkany. Their work appears in journals such as Photosynthesis Research, Brain Structure and Function, Nature Communications, The FASEB Journal and ACS Omega.
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.