Vincenzo Longo
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Pharmacology top 0.2%
- Plant Science top 5%
- Pharmacology top 1%
- Co-authors
- Pier Giovanni GervasiA. Scotti de CarolisMorena GabrieleLaura PucciP. G. GervasiStefania FrassinettiD BovetBruno Silvestrini
- Topics
- Pharmacogenetics and Drug Metabolism (59 papers)Neuroscience and Neuropharmacology Research (33 papers)Drug Transport and Resistance Mechanisms (23 papers)
In The Last Decade
Vincenzo Longo
223 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 155
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 970
- Pharmacology 915
- Plant Science 711
- Pharmacology 621
Countries citing papers authored by Vincenzo Longo
This map shows the geographic impact of Vincenzo Longo'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 Vincenzo Longo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Longo more than expected).
Fields of papers citing papers by Vincenzo Longo
This network shows the impact of papers produced by Vincenzo Longo. 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 Vincenzo Longo. The network helps show where Vincenzo Longo may publish in the future.
Co-authorship network of co-authors of Vincenzo Longo
This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Longo. A scholar is included among the top collaborators of Vincenzo Longo 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 Vincenzo Longo. Vincenzo Longo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 48 | |
| 15 | 9 | |
| 16 | Beneficial effects of natural products: new candidates for feed additives | 1 |
| 17 | Antioxidant-rich food supplement Lisosan G induces reversion of hepatic steatosis. | 3 |
| 18 | 12 | |
| 19 | 40 | |
| 20 | Electroencephalographic atlas for pharmacological research : effect of drugs on the electrical activity of the rabbit brain | 22 |
About Vincenzo Longo
Vincenzo Longo is a scholar working on Pharmacology, Biochemistry and Biochemistry, having authored 225 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (59 papers), Neuroscience and Neuropharmacology Research (33 papers) and Drug Transport and Resistance Mechanisms (23 papers). The work is most often cited by research in Pharmacology (915 citations), Biochemistry (341 citations) and Cellular and Molecular Neuroscience (970 citations). Vincenzo Longo has collaborated with scholars based in Italy, Tunisia and Slovakia. Frequent co-authors include Pier Giovanni Gervasi, A. Scotti de Carolis, Morena Gabriele, Laura Pucci, P. G. Gervasi, Stefania Frassinetti, D Bovet, Bruno Silvestrini, Lorenzo Citti and José A. Fuentes. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical Journal.
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.