Ákos Baráth

501 citations
21 papers · 277 · h-index 10

Impact in

Papers in

Ákos Baráth

20 papers receiving 269 citations

Peers

Ákos Baráth
Comparison fields: 5 of 71
  • Clinical Biochemistry 67
  • Biological Psychiatry 21
  • Behavioral Neuroscience 9
  • Biochemistry 18
  • Rheumatology 31
Replace Svetlana V. Konstantinova with:
Svetlana V. Konstantinova Russia
Werner Roemisch‐Margl Germany
Christopher J. McEntyre New Zealand
Paweł Samborski Poland
Roberta Hack Mendes Brazil
Anissa Daliry Brazil
Ehsan Alvandi Iran
Sheng Jiang China
Piotr Żukowski Poland
Alejandra Wiedeman Canada
Ákos Baráth relative to Svetlana V. Konstantinova Russia Svetlana V. Konstantinova's profile →
Citations per field
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Svetlana V. Konstantinova · 1×
Citations per year

Countries citing papers authored by Ákos Baráth

Since Specialization
Citations

This map shows the geographic impact of Ákos Baráth'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 Ákos Baráth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ákos Baráth more than expected).

Fields of papers citing papers by Ákos Baráth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ákos Baráth. 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 Ákos Baráth. The network helps show where Ákos Baráth may publish in the future.

Co-authors

The 25 scholars most cited alongside Ákos Baráth, 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 Ákos Baráth Line = papers co-authored together Ákos Baráth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 202032
3 200624
4 201123
5 201021
6 202020
7 200017
8 200716
9 200615
10 201013
11 20229
12 20218
13 20087
14 20096
15 19975
16 20214
17 20174
18
Study on taste substances of tomato. 2. Analytical investigation into the free amino acid, peptide and protein contents
19893
19 20062
20
Anyagcsere betegségek újszülöttkori szűrése és klinikai jellemzőik
20111

About Ákos Baráth

Ákos Baráth is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Molecular Biology, Rheumatology and Nutrition and Dietetics, having authored 21 papers that have together received 277 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (3 papers), Metabolism and Genetic Disorders (3 papers), Hormonal and reproductive studies (2 papers), Paraoxonase enzyme and polymorphisms (2 papers), Hormonal Regulation and Hypertension (2 papers), Tryptophan and brain disorders (2 papers), Nitric Oxide and Endothelin Effects (1 paper) and Sodium Intake and Health (1 paper). The work is most often cited by research in Clinical Biochemistry (67 citations), Biological Psychiatry (21 citations), Behavioral Neuroscience (9 citations), Biochemistry (18 citations) and Rheumatology (31 citations). Ákos Baráth has collaborated with scholars based in Hungary, Germany and Switzerland. Frequent co-authors include Csaba Bereczki, Péter Monostori, Nóra Grecsó, Emõke Endreffy, Sándor Túri, Gábor Rácz, Matthias R. Baumgartner, Glynis Klinke, Georg F. Hoffmann and Stefan Kölker. Their work appears in journals such as PLoS ONE, Kidney & Blood Pressure Research, European Journal of Pediatrics, Pediatric Nephrology and Innovative Food Science & Emerging Technologies.

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.

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