Lorna Piazzi
- Pharmacology top 0.5%
- Organic Chemistry top 2%
- Computational Theory and Mathematics top 0.5%
- Molecular Biology
- Physiology top 10%
- Co-authors
- Angela RampaFederica BellutiSilvia GobbiManuela BartoliniAlessandra BisiAndrea CavalliMaurizio RecanatiniVincenza Andrisano
- Topics
- Computational Drug Discovery Methods (13 papers)Cholinesterase and Neurodegenerative Diseases (12 papers)Alzheimer's disease research and treatments (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Medicinal ChemistryEuropean Journal of Medicinal Chemistry
- Partner nations
- ItalyGermanySwitzerland
In The Last Decade
Lorna Piazzi
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 76
- Pharmacology 987
- Organic Chemistry 769
- Computational Theory and Mathematics 658
- Molecular Biology 373
- Physiology 257
Countries citing papers authored by Lorna Piazzi
This map shows the geographic impact of Lorna Piazzi'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 Lorna Piazzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorna Piazzi more than expected).
Fields of papers citing papers by Lorna Piazzi
This network shows the impact of papers produced by Lorna Piazzi. 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 Lorna Piazzi. The network helps show where Lorna Piazzi may publish in the future.
Co-authorship network of co-authors of Lorna Piazzi
This figure shows the co-authorship network connecting the top 25 collaborators of Lorna Piazzi. A scholar is included among the top collaborators of Lorna Piazzi 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 Lorna Piazzi. Lorna Piazzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 82 | |
| 3 | 24 | |
| 4 | 30 | |
| 5 | 174 | |
| 6 | 190 | |
| 7 | 61 | |
| 8 | 70 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 83 | |
| 13 | 61 | |
| 14 | 35 | |
| 15 | 74 | |
| 16 | 20 | |
| 17 | Analogues of the dual acetylcholinesterase inhibitor AP2238: synthesis and SAR | 1 |
| 18 | 229 | |
| 19 | 38 | |
| 20 | 134 |
About Lorna Piazzi
Lorna Piazzi is a scholar working on Pharmacology, Toxicology and Computational Theory and Mathematics, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Cholinesterase and Neurodegenerative Diseases (12 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Pharmacology (987 citations), Computational Theory and Mathematics (658 citations) and Toxicology (93 citations). Lorna Piazzi has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Angela Rampa, Federica Belluti, Silvia Gobbi, Manuela Bartolini, Alessandra Bisi, Andrea Cavalli, Maurizio Recanatini, Vincenza Andrisano, Piero Valenti and Stefano Rizzo. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.
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.