Péter Maróy
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 5%
Papers in
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- Neurobiology and Insect Physiology Research 19
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- Genomics and Chromatin Dynamics 6
- Developmental Biology and Gene Regulation 6
- Steroid Chemistry and Biochemistry 4
- Receptor Mechanisms and Signaling 4
- Co-authors
- Péter Deák (5 shared papers)František Sehnal (3 shared papers)Jaroslava Malá (3 shared papers)Andreas Dübendorfer (4 shared papers)Gábor Juhász (5 shared papers)John D. O’Connor (3 shared papers)Mátyás Mink (4 shared papers)Orbán Komonyi (5 shared papers)
- Journals
- Genetics (4 papers)Journal of Insect Physiology (3 papers)Molecular and Cellular Endocrinology (2 papers)Autophagy (2 papers)The Journal of Comparative Neurology (1 paper)
- Partner nations
- HungaryUnited StatesSwitzerland
In The Last Decade
Péter Maróy
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 615
- Aging 37
- Molecular Biology 965
- Cell Biology 119
- Genetics 216
Countries citing papers authored by Péter Maróy
This map shows the geographic impact of Péter Maróy'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 Péter Maróy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Maróy more than expected).
Fields of papers citing papers by Péter Maróy
This network shows the impact of papers produced by Péter Maróy. 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 Péter Maróy. The network helps show where Péter Maróy may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Maróy, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 292 | |
| 2 | 2007 | 183 | |
| 3 | 1996 | 171 | |
| 4 | 1997 | 136 | |
| 5 | 2001 | 122 | |
| 6 | 1978 | 109 | |
| 7 | 2007 | 100 | |
| 8 | 1981 | 82 | |
| 9 | 1997 | 74 | |
| 10 | 1988 | 63 | |
| 11 | 2008 | 51 | |
| 12 | 2001 | 46 | |
| 13 | 2005 | 39 | |
| 14 | 2011 | 37 | |
| 15 | 1978 | 36 | |
| 16 | 1976 | 34 | |
| 17 | 1980 | 32 | |
| 18 | 2016 | 28 | |
| 19 | 1986 | 27 | |
| 20 | 1986 | 23 |
About Péter Maróy
Péter Maróy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Plant Science and Cell Biology, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (19 papers), Chromosomal and Genetic Variations (7 papers), Genomics and Chromatin Dynamics (6 papers), Developmental Biology and Gene Regulation (6 papers), Steroid Chemistry and Biochemistry (4 papers), Receptor Mechanisms and Signaling (4 papers), Estrogen and related hormone effects (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (615 citations), Aging (37 citations), Molecular Biology (965 citations), Cell Biology (119 citations) and Genetics (216 citations). Péter Maróy has collaborated with scholars based in Hungary, United States and Switzerland. Frequent co-authors include Péter Deák, František Sehnal, Jaroslava Malá, Andreas Dübendorfer, Gábor Juhász, John D. O’Connor, Mátyás Mink, Orbán Komonyi, Ernst Hafen and Becky A. Sage. Their work appears in journals such as Genetics, Journal of Insect Physiology, Molecular and Cellular Endocrinology, Autophagy and The Journal of Comparative Neurology.
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.