Tamás Tábi

1.3k citations
70 papers · 1.0k · h-index 18

Impact in

    • Amino Acid Enzymes and Metabolism
    • Analytical Chemistry and Chromatography
    • Mass Spectrometry Techniques and Applications

Papers in

    • Pain Mechanisms and Treatments 7
    • Adipose Tissue and Metabolism 6
    • Microbial metabolism and enzyme function 6

Tamás Tábi

68 papers receiving 1000 citations

Peers

Tamás Tábi
Comparison fields: 5 of 110
  • Biochemistry 119
  • Spectroscopy 156
  • Clinical Biochemistry 58
  • Biological Psychiatry 21
  • Neurology 125
Replace Éva Szökő with:
Éva Szökő Hungary
Venkataraman Amarnath United States
Luana Heimfarth Brazil
Usha Mishra United States
Jean‐Paul Tillement France
Yukio Kuroiwa Japan
Michael L. Maidt United States
Ester Tellone Italy
Francesco Misiti Italy
Yujuan Li China
Tamás Tábi relative to Éva Szökő Hungary Éva Szökő's profile →
Citations per field
00.5×1.5×
Éva Szökő · 1×
Citations per year

Countries citing papers authored by Tamás Tábi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tamás Tábi Line = papers co-authored together Tamás Tábi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201875
2 201968
3 201059
4 200459
5 200450
6 201647
7 201946
8 200331
9 201731
10 201430
11 200428
12 201225
13 201521
14 201120
15 201019
16 201219
17 200819
18 200619
19 200917
20 200516

About Tamás Tábi

Tamás Tábi is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Spectroscopy and Biochemistry, having authored 70 papers that have together received 1.0k 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), Analytical Chemistry and Chromatography (6 papers), Sirtuins and Resveratrol in Medicine (6 papers), Microbial metabolism and enzyme function (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Biochemistry (119 citations), Spectroscopy (156 citations), Clinical Biochemistry (58 citations), Biological Psychiatry (21 citations) and Neurology (125 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, Peter Riederer, Gergely Zachár, Moussa B. H. Youdim, András Csillag and Huba Kalász. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Neural Transmission, Journal of Pharmaceutical and Biomedical Analysis, Electrophoresis 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.

Explore authors with similar magnitude of impact