Mihály Hajós
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Cognitive Neuroscience top 1%
- Pharmacology top 0.5%
- Physiology top 5%
- Co-authors
- Trevor SharpWilliam E. HoffmannBernát KocsisSarah E. GartsideÉva Hajós‐KorcsokAndrea SzékelyRaymond S HurstMilan Stoiljković
- Topics
- Neuroscience and Neuropharmacology Research (66 papers)Memory and Neural Mechanisms (28 papers)Neurotransmitter Receptor Influence on Behavior (25 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Neuroscience
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Mihály Hajós
119 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 129
- Cellular and Molecular Neuroscience 3.2k
- Molecular Biology 2.4k
- Cognitive Neuroscience 2.0k
- Pharmacology 996
- Physiology 689
Countries citing papers authored by Mihály Hajós
This map shows the geographic impact of Mihály Hajós'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 Mihály Hajós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihály Hajós more than expected).
Fields of papers citing papers by Mihály Hajós
This network shows the impact of papers produced by Mihály Hajós. 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 Mihály Hajós. The network helps show where Mihály Hajós may publish in the future.
Co-authorship network of co-authors of Mihály Hajós
This figure shows the co-authorship network connecting the top 25 collaborators of Mihály Hajós. A scholar is included among the top collaborators of Mihály Hajós based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mihály Hajós. Mihály Hajós is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 18 | |
| 4 | 3 | |
| 5 | 22 | |
| 6 | 16 | |
| 7 | 22 | |
| 8 | 17 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 69 | |
| 12 | 39 | |
| 13 | 56 | |
| 14 | 45 | |
| 15 | 131 | |
| 16 | 34 | |
| 17 | 372 | |
| 18 | 101 | |
| 19 | 286 | |
| 20 | 15 |
About Mihály Hajós
Mihály Hajós is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biological Psychiatry, having authored 121 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (66 papers), Memory and Neural Mechanisms (28 papers) and Neurotransmitter Receptor Influence on Behavior (25 papers). The work is most often cited by research in Biological Psychiatry (476 citations), Cellular and Molecular Neuroscience (3.2k citations) and Behavioral Neuroscience (384 citations). Mihály Hajós has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Trevor Sharp, William E. Hoffmann, Bernát Kocsis, Sarah E. Gartside, Éva Hajós‐Korcsok, Andrea Székely, Raymond S Hurst, Milan Stoiljković, Nicole R. Higdon and Theron M. Wall. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.
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.