G. Della Torre
- Neurology top 5%
- Molecular Biology
- Plant Science
- Cellular and Molecular Neuroscience
- Sensory Systems top 5%
- Co-authors
- Vito Enrico PettorossiO BrunettiR. BortolamiMauro ZampoliniGiuseppe CapocchiP. MontalbiniSilvia GrassiSilvarosa Grassi
- Topics
- Ion channel regulation and function (6 papers)Pain Mechanisms and Treatments (5 papers)Plant pathogens and resistance mechanisms (5 papers)
- Partner nations
- Italy
In The Last Decade
G. Della Torre
27 papers receiving 398 citations
Peers
Comparison fields: 5 of 81
- Neurology 151
- Molecular Biology 127
- Plant Science 88
- Cellular and Molecular Neuroscience 79
- Sensory Systems 75
Countries citing papers authored by G. Della Torre
This map shows the geographic impact of G. Della Torre'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. Della Torre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Della Torre more than expected).
Fields of papers citing papers by G. Della Torre
This network shows the impact of papers produced by G. Della Torre. 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. Della Torre. The network helps show where G. Della Torre may publish in the future.
Co-authorship network of co-authors of G. Della Torre
This figure shows the co-authorship network connecting the top 25 collaborators of G. Della Torre. A scholar is included among the top collaborators of G. Della Torre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Della Torre. G. Della Torre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Capsaicin-sensitive muscle afferents modulate the monosynaptic reflex in response to muscle ischemia and fatigue in the rat. | 9 |
| 3 | 67 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 25 | |
| 8 | 44 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 15 | |
| 13 | 62 | |
| 14 | Resistance to tobacco powdery mildew (Erysiphe cichoracearum) induced by a necrotic strain of potato virus Y (PVYn) | 2 |
| 15 | L-acetylcarnitine enhances functional muscle re-innervation. | 5 |
| 16 | 13 | |
| 17 | 23 | |
| 18 | 2 | |
| 19 | Broomrape of tobacco:epidemiology and control. | 1 |
| 20 | 1 |
About G. Della Torre
G. Della Torre is a scholar working on Neurology, Sensory Systems and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 414 indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Pain Mechanisms and Treatments (5 papers) and Plant pathogens and resistance mechanisms (5 papers). The work is most often cited by research in Neurology (151 citations), Sensory Systems (75 citations) and Cellular and Molecular Neuroscience (79 citations). G. Della Torre has collaborated with scholars based in Italy. Frequent co-authors include Vito Enrico Pettorossi, O Brunetti, R. Bortolami, Mauro Zampolini, Giuseppe Capocchi, P. Montalbini, Silvia Grassi, Silvarosa Grassi, Maria Luisa Lucchi and Roberto Buonaurio. Their work appears in journals such as The Journal of Physiology, Brain Research and FEBS Letters.
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.