G. de
Impact in
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- Neuropeptides and Animal Physiology
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- Regulation of Appetite and Obesity
Papers in
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- Neuropeptides and Animal Physiology 32
- Neurobiology and Insect Physiology Research 8
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- Receptor Mechanisms and Signaling 26
- Co-authors
- G. Bertaccini (15 shared papers)Muhammad Nasrum Massi (21 shared papers)V. Erspamer (11 shared papers)L.G. Micossi (17 shared papers)M Impicciatore (10 shared papers)R. Endean (7 shared papers)Marina Perfumi (18 shared papers)Fabrizio Venturi (4 shared papers)
- Journals
- Cellular and Molecular Life Sciences (6 papers)British Journal of Pharmacology (5 papers)Pharmacology Biochemistry and Behavior (4 papers)The Journal of Physiology (3 papers)Biology (3 papers)
- Partner nations
- ItalyAustraliaUnited States
In The Last Decade
G. de
80 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 817
- Endocrine and Autonomic Systems 191
- Reproductive Medicine 232
- Microbiology 112
- Behavioral Neuroscience 48
Countries citing papers authored by G. de
This map shows the geographic impact of G. de'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 G. de with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. de more than expected).
Fields of papers citing papers by G. de
This network shows the impact of papers produced by G. de. 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 G. de. The network helps show where G. de may publish in the future.
Co-authors
The 25 scholars most cited alongside G. de, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1968 | 112 | |
| 2 | 2014 | 80 | |
| 3 | 1968 | 66 | |
| 4 | 1964 | 62 | |
| 5 | 1967 | 61 | |
| 6 | 1969 | 58 | |
| 7 | 1978 | 53 | |
| 8 | 1969 | 51 | |
| 9 | 1970 | 50 | |
| 10 | 1977 | 49 | |
| 11 | 1965 | 49 | |
| 12 | 1979 | 47 | |
| 13 | 1991 | 37 | |
| 14 | 1988 | 35 | |
| 15 | 1994 | 33 | |
| 16 | 2019 | 31 | |
| 17 | 1989 | 31 | |
| 18 | 1986 | 29 | |
| 19 | 2019 | 27 | |
| 20 | 1980 | 27 |
About G. de
G. de is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (32 papers), Receptor Mechanisms and Signaling (26 papers), Neuroendocrine regulation and behavior (14 papers), Sperm and Testicular Function (9 papers), Neurobiology and Insect Physiology Research (8 papers), Regulation of Appetite and Obesity (6 papers), Biochemical effects in animals (5 papers) and Biochemical Analysis and Sensing Techniques (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (817 citations), Endocrine and Autonomic Systems (191 citations), Reproductive Medicine (232 citations), Microbiology (112 citations) and Behavioral Neuroscience (48 citations). G. de has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include G. Bertaccini, Muhammad Nasrum Massi, V. Erspamer, L.G. Micossi, M Impicciatore, R. Endean, Marina Perfumi, Fabrizio Venturi, Carlo Polidori and M. Massi. Their work appears in journals such as Cellular and Molecular Life Sciences, British Journal of Pharmacology, Pharmacology Biochemistry and Behavior, The Journal of Physiology and Biology.
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.