Stefania Butini
- Molecular Biology top 5%
- Organic Chemistry top 1%
- Pharmacology top 1%
- Computational Theory and Mathematics top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Giuseppe CampianiSandra GemmaMargherita BrindisiSimone BrogiEttore NovellinoCaterina FattorussoVito NacciLuisa Savini
- Topics
- HIV/AIDS drug development and treatment (18 papers)Computational Drug Discovery Methods (16 papers)Malaria Research and Control (15 papers)
- Partner nations
- ItalyIrelandUnited States
In The Last Decade
Stefania Butini
136 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.6k
- Organic Chemistry 1.4k
- Pharmacology 815
- Computational Theory and Mathematics 605
- Cellular and Molecular Neuroscience 408
Countries citing papers authored by Stefania Butini
This map shows the geographic impact of Stefania Butini'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 Stefania Butini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Butini more than expected).
Fields of papers citing papers by Stefania Butini
This network shows the impact of papers produced by Stefania Butini. 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 Stefania Butini. The network helps show where Stefania Butini may publish in the future.
Co-authorship network of co-authors of Stefania Butini
This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Butini. A scholar is included among the top collaborators of Stefania Butini 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 Stefania Butini. Stefania Butini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 17 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 29 | |
| 12 | 51 | |
| 13 | 42 | |
| 14 | 10 | |
| 15 | 46 | |
| 16 | 7 | |
| 17 | 40 | |
| 18 | 39 | |
| 19 | 30 | |
| 20 | Development of Potent and Selective Peripheral 5-HT3 Receptor Agonists and Antagonists, Keystones of a New Therapeutic Strategy to Cardiac Diseases | 1 |
About Stefania Butini
Stefania Butini is a scholar working on Toxicology, Virology and Organic Chemistry, having authored 140 papers that have together received 3.5k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (18 papers), Computational Drug Discovery Methods (16 papers) and Malaria Research and Control (15 papers). The work is most often cited by research in Pharmacology (815 citations), Organic Chemistry (1.4k citations) and Computational Theory and Mathematics (605 citations). Stefania Butini has collaborated with scholars based in Italy, Ireland and United States. Frequent co-authors include Giuseppe Campiani, Sandra Gemma, Margherita Brindisi, Simone Brogi, Ettore Novellino, Caterina Fattorusso, Vito Nacci, Luisa Savini, Giulia Chemi and Nicola Relitti. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Cancer Research.
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.