Giovanni Diana
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Nuclear and High Energy Physics top 10%
- Hematology top 10%
- Co-authors
- S. SagratellaMaria Rosaria DomeniciA. Scotti de CarolisAlberto LoizzoCarla FiorentiniMassimiliano EspositoG. Baris BagciMassimo Pieri
- Topics
- Neuroscience and Neuropharmacology Research (21 papers)Memory and Neural Mechanisms (8 papers)Particle physics theoretical and experimental studies (7 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of Neuroscience
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Giovanni Diana
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Cellular and Molecular Neuroscience 402
- Molecular Biology 348
- Cognitive Neuroscience 254
- Nuclear and High Energy Physics 164
- Hematology 129
Countries citing papers authored by Giovanni Diana
This map shows the geographic impact of Giovanni Diana'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 Giovanni Diana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Diana more than expected).
Fields of papers citing papers by Giovanni Diana
This network shows the impact of papers produced by Giovanni Diana. 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 Giovanni Diana. The network helps show where Giovanni Diana may publish in the future.
Co-authorship network of co-authors of Giovanni Diana
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Diana. A scholar is included among the top collaborators of Giovanni Diana 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 Giovanni Diana. Giovanni Diana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 31 | |
| 3 | 21 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 171 | |
| 8 | 6 | |
| 9 | 26 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 59 | |
| 13 | 24 | |
| 14 | 108 | |
| 15 | 13 | |
| 16 | 30 | |
| 17 | 41 | |
| 18 | 37 | |
| 19 | 33 | |
| 20 | 18 |
About Giovanni Diana
Giovanni Diana is a scholar working on Aging, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Memory and Neural Mechanisms (8 papers) and Particle physics theoretical and experimental studies (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (402 citations), Developmental Neuroscience (78 citations) and Behavioral Neuroscience (60 citations). Giovanni Diana has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include S. Sagratella, Maria Rosaria Domenici, A. Scotti de Carolis, Alberto Loizzo, Carla Fiorentini, Massimiliano Esposito, G. Baris Bagci, Massimo Pieri, Stefan Höche and Probir Chakravarty. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of 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.