Tamás Tábi
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Microbial metabolism and enzyme function 6
- Physiology 20
- Pain Mechanisms and Treatments 7
- Nitric Oxide and Endothelin Effects 4
- Co-authors
- Éva Szökő (55 shared papers)K. Magyar (15 shared papers)László Vécsei (3 shared papers)István Vincze (8 shared papers)Peter Riederer (1 shared paper)Gergely Zachár (5 shared papers)András Csillag (5 shared papers)Moussa B. H. Youdim (1 shared paper)
- Journals
- International Journal of Molecular Sciences (10 papers)Journal of Neural Transmission (7 papers)Electrophoresis (5 papers)Journal of Pharmaceutical and Biomedical Analysis (5 papers)Neurochemical Research (3 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Tamás Tábi
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Biochemistry 122
- Biological Psychiatry 23
- Spectroscopy 158
- Geriatrics and Gerontology 29
- Clinical Biochemistry 60
Countries citing papers authored by Tamás Tábi
This map shows the geographic impact of Tamás Tábi'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 Tamás Tábi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Tábi more than expected).
Fields of papers citing papers by Tamás Tábi
This network shows the impact of papers produced by Tamás Tábi. 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 Tamás Tábi. The network helps show where Tamás Tábi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamás Tábi, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 84 | |
| 2 | 2019 | 76 | |
| 3 | 2010 | 63 | |
| 4 | 2004 | 60 | |
| 5 | 2004 | 51 | |
| 6 | 2016 | 49 | |
| 7 | 2019 | 48 | |
| 8 | 2014 | 33 | |
| 9 | 2003 | 32 | |
| 10 | 2017 | 31 | |
| 11 | 2004 | 31 | |
| 12 | 2012 | 27 | |
| 13 | 2011 | 22 | |
| 14 | 2010 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2008 | 20 | |
| 17 | 2006 | 20 | |
| 18 | 2012 | 19 | |
| 19 | 2015 | 17 | |
| 20 | 2005 | 17 |
About Tamás Tábi
Tamás Tábi is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Spectroscopy and Biochemistry, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers), Pain Mechanisms and Treatments (7 papers), Amino Acid Enzymes and Metabolism (7 papers), Microbial metabolism and enzyme function (6 papers), Analytical Chemistry and Chromatography (5 papers), Sirtuins and Resveratrol in Medicine (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Biochemistry (122 citations), Biological Psychiatry (23 citations), Spectroscopy (158 citations), Geriatrics and Gerontology (29 citations) and Clinical Biochemistry (60 citations). Tamás Tábi has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Éva Szökő, K. Magyar, László Vécsei, István Vincze, Peter Riederer, Gergely Zachár, András Csillag, Moussa B. H. Youdim, Peter Riederer and Huba Kalász. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Neural Transmission, Electrophoresis, Journal of Pharmaceutical and Biomedical Analysis and Neurochemical 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.