F. Nagy
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Endocrine and Autonomic Systems top 10%
Papers in
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- Neurobiology and Insect Physiology Research 16
- Neuroscience and Neuropharmacology Research 4
- Ecology 13
- Crustacean biology and ecology 10
- Physiological and biochemical adaptations 4
- Co-authors
- Patsy S. Dickinson (4 shared papers)Maurice Moulins (13 shared papers)Valérie Morisset (1 shared paper)Jean‐René Cazalets (3 shared papers)Raúl E. Russo (1 shared paper)Jørn Hounsgaard (1 shared paper)Marc Landry (3 shared papers)Daniel L. Voisin (1 shared paper)
In The Last Decade
F. Nagy
33 papers receiving 994 citations
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 810
- Endocrine and Autonomic Systems 88
- Cognitive Neuroscience 257
- Ecology 216
- Developmental Biology 15
Countries citing papers authored by F. Nagy
This map shows the geographic impact of F. Nagy'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 F. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Nagy more than expected).
Fields of papers citing papers by F. Nagy
This network shows the impact of papers produced by F. Nagy. 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 F. Nagy. The network helps show where F. Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Nagy, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 123 | |
| 2 | 1983 | 104 | |
| 3 | 1987 | 93 | |
| 4 | 2004 | 77 | |
| 5 | 1996 | 68 | |
| 6 | 1997 | 61 | |
| 7 | 1990 | 50 | |
| 8 | 2005 | 41 | |
| 9 | 1994 | 41 | |
| 10 | 1990 | 33 | |
| 11 | 1988 | 31 | |
| 12 | 2001 | 29 | |
| 13 | 1994 | 28 | |
| 14 | 2005 | 27 | |
| 15 | 1994 | 27 | |
| 16 | 2021 | 24 | |
| 17 | 2004 | 23 | |
| 18 | 1994 | 22 | |
| 19 | 1981 | 17 | |
| 20 | 1981 | 16 |
About F. Nagy
F. Nagy is a scholar working on Cellular and Molecular Neuroscience, Ecology, Molecular Biology, Physiology and Plant Science, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (16 papers), Crustacean biology and ecology (10 papers), Pain Mechanisms and Treatments (6 papers), Ion channel regulation and function (6 papers), Plant and Biological Electrophysiology Studies (6 papers), Fish biology, ecology, and behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Physiological and biochemical adaptations (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (810 citations), Endocrine and Autonomic Systems (88 citations), Cognitive Neuroscience (257 citations), Ecology (216 citations) and Developmental Biology (15 citations). F. Nagy has collaborated with scholars based in France, Hungary and Canada. Frequent co-authors include Patsy S. Dickinson, Maurice Moulins, Valérie Morisset, Jean‐René Cazalets, Raúl E. Russo, Jørn Hounsgaard, Marc Landry, Daniel L. Voisin, Rabia Bouali‐Benazzouz and Thierry Bal. Their work appears in journals such as Journal of Experimental Biology, Journal of Neuroscience, Journal of Neurophysiology, European Journal of Neuroscience and The Journal of Physiology.
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.