Luca Piemontese
- Molecular Biology
- Pharmacology top 2%
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 2%
- Plant Science top 10%
- Co-authors
- Fulvio LoiodiceAntonio LaghezzaMichele SolfrizzoPaolo TortorellaM. Amélia SantosSı́lvia ChavesLeonardo BrunettiA. Visconti
- Topics
- Peroxisome Proliferator-Activated Receptors (22 papers)Cholinesterase and Neurodegenerative Diseases (19 papers)Computational Drug Discovery Methods (14 papers)
- Journals
- Journal of Agricultural and Food ChemistryScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- ItalyPortugalUnited States
In The Last Decade
Luca Piemontese
67 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 539
- Pharmacology 490
- Organic Chemistry 333
- Computational Theory and Mathematics 306
- Plant Science 238
Countries citing papers authored by Luca Piemontese
This map shows the geographic impact of Luca Piemontese'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 Luca Piemontese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Piemontese more than expected).
Fields of papers citing papers by Luca Piemontese
This network shows the impact of papers produced by Luca Piemontese. 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 Luca Piemontese. The network helps show where Luca Piemontese may publish in the future.
Co-authorship network of co-authors of Luca Piemontese
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Piemontese. A scholar is included among the top collaborators of Luca Piemontese 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 Luca Piemontese. Luca Piemontese 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 | 3 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 27 | |
| 8 | 7 | |
| 9 | 18 | |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 39 | |
| 14 | 25 | |
| 15 | 5 | |
| 16 | 25 | |
| 17 | 33 | |
| 18 | 32 | |
| 19 | 11 | |
| 20 | 41 |
About Luca Piemontese
Luca Piemontese is a scholar working on Pharmacology, Biochemistry and Computational Theory and Mathematics, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (22 papers), Cholinesterase and Neurodegenerative Diseases (19 papers) and Computational Drug Discovery Methods (14 papers). The work is most often cited by research in Pharmacology (490 citations), Computational Theory and Mathematics (306 citations) and Complementary and alternative medicine (104 citations). Luca Piemontese has collaborated with scholars based in Italy, Portugal and United States. Frequent co-authors include Fulvio Loiodice, Antonio Laghezza, Michele Solfrizzo, Paolo Tortorella, M. Amélia Santos, Sı́lvia Chaves, Leonardo Brunetti, A. Visconti, Antonio Lavecchia and Sandra M. Cardoso. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and International Journal of Molecular Sciences.
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.