Lucia Lassiani
- Organic Chemistry top 10%
- Molecular Biology
- Physical and Theoretical Chemistry top 10%
- Materials Chemistry
- Cellular and Molecular Neuroscience
- Co-authors
- Gianni SavaTullio GiraldiGiancarlo VerardoAngelo G. GiumaniniLaura MennuniEnnio ZangrandoFrancesco MakovecFederico Berti
- Topics
- Chemical Reactions and Mechanisms (9 papers)Neuropeptides and Animal Physiology (7 papers)Receptor Mechanisms and Signaling (7 papers)
In The Last Decade
Lucia Lassiani
41 papers receiving 327 citations
Peers
Comparison fields: 5 of 74
- Organic Chemistry 154
- Molecular Biology 139
- Physical and Theoretical Chemistry 71
- Materials Chemistry 39
- Cellular and Molecular Neuroscience 33
Countries citing papers authored by Lucia Lassiani
This map shows the geographic impact of Lucia Lassiani'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 Lucia Lassiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Lassiani more than expected).
Fields of papers citing papers by Lucia Lassiani
This network shows the impact of papers produced by Lucia Lassiani. 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 Lucia Lassiani. The network helps show where Lucia Lassiani may publish in the future.
Co-authorship network of co-authors of Lucia Lassiani
This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Lassiani. A scholar is included among the top collaborators of Lucia Lassiani 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 Lucia Lassiani. Lucia Lassiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 12 | |
| 8 | 13 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | Quinazolinone derivatives: synthesis and binding evaluation on cholecystokinin receptors. | 2 |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | Effects of postsurgical immunotherapy with PGM in mice bearing Lewis lung carcinoma treated with p-(3,3-dimethyl-1-triazeno) benzoic acid potassium salt. | 1 |
| 19 | Selectivity of the antimetastatic and cytotoxic effects of 1-p-(3,3-dimethyl-1-triazeno)benzoic acid potassium salt (+/-)-1,2-di(3,5-dioxopiperazin-1-yl)propane, and cyclophosphamide in mice bearing Lewis lung carcinoma. | 35 |
| 20 | 4 |
About Lucia Lassiani
Lucia Lassiani is a scholar working on Toxicology, Physical and Theoretical Chemistry and Pharmaceutical Science, having authored 42 papers that have together received 339 indexed citations. Recurring topics across this work include Chemical Reactions and Mechanisms (9 papers), Neuropeptides and Animal Physiology (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Physical and Theoretical Chemistry (71 citations), Pharmaceutical Science (33 citations) and Organic Chemistry (154 citations). Lucia Lassiani has collaborated with scholars based in Italy, Greece and Slovenia. Frequent co-authors include Gianni Sava, Tullio Giraldi, Giancarlo Verardo, Angelo G. Giumanini, Laura Mennuni, Ennio Zangrando, Francesco Makovec, Federico Berti, L. Perissin and Miranda L. Perry. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical Pharmacology and Journal of Pharmaceutical 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.