G. Augusti‐Tocco
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Nerve injury and regeneration
Papers in
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- Receptor Mechanisms and Signaling 5
- Lipid Membrane Structure and Behavior 4
- Ubiquitin and proteasome pathways 3
- Pharmacology 10
- Cholinesterase and Neurodegenerative Diseases 10
- Co-authors
- Stefano Biagioni (16 shared papers)Antonella De Jaco (6 shared papers)S. Denis‐Donini (2 shared papers)Nunzia Bernardini (2 shared papers)Ada Maria Tata (4 shared papers)Allan I. Levey (1 shared paper)G. Scarsella (4 shared papers)M. Estenoz (3 shared papers)
In The Last Decade
G. Augusti‐Tocco
37 papers receiving 578 citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 213
- Developmental Neuroscience 31
- Pharmacology 108
- Molecular Biology 369
- Cell Biology 61
Countries citing papers authored by G. Augusti‐Tocco
This map shows the geographic impact of G. Augusti‐Tocco'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. Augusti‐Tocco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Augusti‐Tocco more than expected).
Fields of papers citing papers by G. Augusti‐Tocco
This network shows the impact of papers produced by G. Augusti‐Tocco. 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. Augusti‐Tocco. The network helps show where G. Augusti‐Tocco may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Augusti‐Tocco, 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 | Rat dorsal root ganglia express m1-m4 muscarinic receptor proteins. | 1999 | 53 |
| 2 | 1995 | 50 | |
| 3 | 1994 | 34 | |
| 4 | 1997 | 34 | |
| 5 | 2000 | 33 | |
| 6 | 1970 | 33 | |
| 7 | 1985 | 29 | |
| 8 | 1980 | 26 | |
| 9 | 1989 | 25 | |
| 10 | 1990 | 24 | |
| 11 | 1978 | 23 | |
| 12 | 2003 | 21 | |
| 13 | 1989 | 21 | |
| 14 | 2002 | 18 | |
| 15 | 2002 | 18 | |
| 16 | 1974 | 15 | |
| 17 | 1995 | 15 | |
| 18 | 1999 | 14 | |
| 19 | 2007 | 14 | |
| 20 | 2000 | 13 |
About G. Augusti‐Tocco
G. Augusti‐Tocco is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Cell Biology and Organic Chemistry, having authored 38 papers that have together received 616 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroblastoma Research and Treatments (5 papers), Receptor Mechanisms and Signaling (5 papers), Chemical synthesis and alkaloids (5 papers), Cellular transport and secretion (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (213 citations), Developmental Neuroscience (31 citations), Pharmacology (108 citations), Molecular Biology (369 citations) and Cell Biology (61 citations). G. Augusti‐Tocco has collaborated with scholars based in Italy, Australia and Malaysia. Frequent co-authors include Stefano Biagioni, Antonella De Jaco, S. Denis‐Donini, Nunzia Bernardini, Ada Maria Tata, Allan I. Levey, G. Scarsella, M. Estenoz, Giancarlo Poiana and Luigi Casola. Their work appears in journals such as International Journal of Developmental Neuroscience, Journal of Neurochemistry, Developmental Biology, Trends in Biochemical Sciences and 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.