Péter Maróy
Impact in
- Aging top 5%
-
- Neurobiology and Insect Physiology Research
Papers in
-
- Developmental Biology and Gene Regulation 4
- Plant Reproductive Biology 3
- RNA Research and Splicing 3
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- Neurobiology and Insect Physiology Research 14
- Co-authors
- Péter Deák (5 shared papers)Jaroslava Malá (3 shared papers)Andreas Dübendorfer (4 shared papers)František Sehnal (3 shared papers)C. Beckers (3 shared papers)John D. O’Connor (3 shared papers)Gábor Juhász (5 shared papers)Orbán Komonyi (5 shared papers)
- Journals
- Journal of Insect Physiology (3 papers)Genetics (2 papers)Autophagy (2 papers)Molecular and Cellular Endocrinology (2 papers)Cell Death and Differentiation (1 paper)
- Partner nations
- HungaryUnited StatesSwitzerland
In The Last Decade
Péter Maróy
36 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Aging 66
- Cellular and Molecular Neuroscience 547
- Insect Science 245
- Molecular Biology 786
- Immunology 226
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 174 | |
| 2 | 1997 | 138 | |
| 3 | 2001 | 120 | |
| 4 | 1978 | 113 | |
| 5 | 2007 | 98 | |
| 6 | 1981 | 83 | |
| 7 | 1997 | 75 | |
| 8 | 1988 | 65 | |
| 9 | 2008 | 51 | |
| 10 | 2001 | 46 | |
| 11 | 2005 | 40 | |
| 12 | 2011 | 37 | |
| 13 | 1976 | 36 | |
| 14 | 1978 | 36 | |
| 15 | 1980 | 32 | |
| 16 | 1986 | 27 | |
| 17 | 2016 | 26 | |
| 18 | 1986 | 23 | |
| 19 | 1988 | 22 | |
| 20 | 1985 | 21 |
About Péter Maróy
Péter Maróy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Insect Science and Plant Science, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (14 papers), Insect Utilization and Effects (6 papers), Insect and Arachnid Ecology and Behavior (6 papers), Developmental Biology and Gene Regulation (4 papers), Chromosomal and Genetic Variations (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Plant Reproductive Biology (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Aging (66 citations), Cellular and Molecular Neuroscience (547 citations), Insect Science (245 citations), Molecular Biology (786 citations) and Immunology (226 citations). Péter Maróy has collaborated with scholars based in Hungary, United States and Switzerland. Frequent co-authors include Péter Deák, Jaroslava Malá, Andreas Dübendorfer, František Sehnal, C. Beckers, John D. O’Connor, Gábor Juhász, Orbán Komonyi, Mátyás Mink and Ernst Hafen. Their work appears in journals such as Journal of Insect Physiology, Genetics, Autophagy, Molecular and Cellular Endocrinology and Cell Death and Differentiation.
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.