Luciana Scotti
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Computational Theory and Mathematics top 0.5%
- Plant Science top 5%
- Pharmacology top 2%
- Co-authors
- Marcus Tullius ScottiFrancisco Jaime Bezerra MendonçaMarcelo Sobral da SilvaHamilton Mitsugu IshikiJosé Maria Barbosa‐FilhoRicardo Olímpio de MouraMarcelo J. P. FerreiraAlejandro Speck‐Planche
- Topics
- Computational Drug Discovery Methods (65 papers)Synthesis and biological activity (49 papers)Research on Leishmaniasis Studies (38 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Molecular Biology
- Partner nations
- BrazilUnited StatesIndia
In The Last Decade
Luciana Scotti
268 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 1.3k
- Organic Chemistry 998
- Computational Theory and Mathematics 645
- Plant Science 590
- Pharmacology 554
Countries citing papers authored by Luciana Scotti
This map shows the geographic impact of Luciana Scotti'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 Luciana Scotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luciana Scotti more than expected).
Fields of papers citing papers by Luciana Scotti
This network shows the impact of papers produced by Luciana Scotti. 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 Luciana Scotti. The network helps show where Luciana Scotti may publish in the future.
Co-authorship network of co-authors of Luciana Scotti
This figure shows the co-authorship network connecting the top 25 collaborators of Luciana Scotti. A scholar is included among the top collaborators of Luciana Scotti 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 Luciana Scotti. Luciana Scotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 72 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | 16 | |
| 14 | 29 | |
| 15 | 86 | |
| 16 | 20 | |
| 17 | 26 | |
| 18 | 12 | |
| 19 | FCNN-based segmentation of kidney vessels - Towards constraints definition for safe robot-assisted nephrectomy | 1 |
| 20 | 24 |
About Luciana Scotti
Luciana Scotti is a scholar working on Drug Discovery, Computational Theory and Mathematics and Toxicology, having authored 283 papers that have together received 3.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (65 papers), Synthesis and biological activity (49 papers) and Research on Leishmaniasis Studies (38 papers). The work is most often cited by research in Computational Theory and Mathematics (645 citations), Pharmacology (348 citations) and Toxicology (135 citations). Luciana Scotti has collaborated with scholars based in Brazil, United States and India. Frequent co-authors include Marcus Tullius Scotti, Francisco Jaime Bezerra Mendonça, Marcelo Sobral da Silva, Hamilton Mitsugu Ishiki, José Maria Barbosa‐Filho, Ricardo Olímpio de Moura, Marcelo J. P. Ferreira, Alejandro Speck‐Planche, Vicente P. Emerenciano and Lucindo José Quintans‐Júnior. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Molecular Biology.
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.