Dániel Kuti
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Stress Responses and Cortisol 5
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- Adipose Tissue and Metabolism 3
- Co-authors
- Szilamér Ferenczi (14 shared papers)Zsuzsanna Winkler (9 shared papers)Krisztina Kovács (8 shared papers)Balázs Juhász (10 shared papers)Krisztina Kovács (5 shared papers)Gábor Ternák (1 shared paper)Anikó Stágel (2 shared papers)Melinda Paholcsek (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Scientific Reports (2 papers)Brain Behavior and Immunity (2 papers)Poultry Science (1 paper)iScience (1 paper)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Dániel Kuti
16 papers receiving 314 citations
Peers
Comparison fields: 5 of 73
- Biological Psychiatry 57
- Behavioral Neuroscience 59
- Neurology 46
- Endocrine and Autonomic Systems 27
- Physiology 62
Countries citing papers authored by Dániel Kuti
This map shows the geographic impact of Dániel Kuti'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 Dániel Kuti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Kuti more than expected).
Fields of papers citing papers by Dániel Kuti
This network shows the impact of papers produced by Dániel Kuti. 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 Dániel Kuti. The network helps show where Dániel Kuti may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Kuti, 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 | 2019 | 51 | |
| 2 | 2017 | 44 | |
| 3 | 2022 | 38 | |
| 4 | 2019 | 34 | |
| 5 | 2015 | 32 | |
| 6 | 2020 | 27 | |
| 7 | 2016 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 |
About Dániel Kuti
Dániel Kuti is a scholar working on Behavioral Neuroscience, Physiology, Molecular Biology, Social Psychology and Epidemiology, having authored 16 papers that have together received 314 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (5 papers), Neuroendocrine regulation and behavior (3 papers), Gut microbiota and health (3 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Regulation of Appetite and Obesity (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Biological Psychiatry (57 citations), Behavioral Neuroscience (59 citations), Neurology (46 citations), Endocrine and Autonomic Systems (27 citations) and Physiology (62 citations). Dániel Kuti has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Szilamér Ferenczi, Zsuzsanna Winkler, Krisztina Kovács, Balázs Juhász, Krisztina Kovács, Gábor Ternák, Anikó Stágel, Melinda Paholcsek, Levente Czeglédi and Anett Szilvásy‐Szabó. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Brain Behavior and Immunity, Poultry Science and iScience.
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.