Donatella Bagetta
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
- Synthesis of Organic Compounds
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- Computational Drug Discovery Methods
Papers in
- Pharmacology 12
- Cholinesterase and Neurodegenerative Diseases 8
- Microbial Natural Products and Biosynthesis 2
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- Computational Drug Discovery Methods 9
- Co-authors
- Stefano Alcaro (17 shared papers)Francesco Ortuso (12 shared papers)Fernanda Borges (5 shared papers)Annalisa Maruca (6 shared papers)Eugenio Uriarte (4 shared papers)Raffaella Catalano (5 shared papers)Francesca Alessandra Ambrosio (5 shared papers)Isabella Romeo (5 shared papers)
In The Last Decade
Donatella Bagetta
17 papers receiving 561 citations
Peers
Comparison fields: 5 of 74
- Pharmacology 259
- Computational Theory and Mathematics 158
- Organic Chemistry 229
- Biochemistry 33
- Toxicology 13
Countries citing papers authored by Donatella Bagetta
This map shows the geographic impact of Donatella Bagetta'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 Donatella Bagetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donatella Bagetta more than expected).
Fields of papers citing papers by Donatella Bagetta
This network shows the impact of papers produced by Donatella Bagetta. 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 Donatella Bagetta. The network helps show where Donatella Bagetta may publish in the future.
Co-authors
The 25 scholars most cited alongside Donatella Bagetta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2018 | 65 | |
| 3 | 2019 | 58 | |
| 4 | 2017 | 53 | |
| 5 | 2017 | 45 | |
| 6 | 2019 | 44 | |
| 7 | 2020 | 42 | |
| 8 | 2019 | 39 | |
| 9 | 2020 | 39 | |
| 10 | 2019 | 28 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 20 | |
| 13 | 2018 | 14 | |
| 14 | 2022 | 11 | |
| 15 | 2019 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 3 |
About Donatella Bagetta
Donatella Bagetta is a scholar working on Pharmacology, Computational Theory and Mathematics, Organic Chemistry, Molecular Biology and Biochemistry, having authored 17 papers that have together received 569 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Synthesis and biological activity (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Electrochemical sensors and biosensors (2 papers), Click Chemistry and Applications (2 papers) and Pesticide Exposure and Toxicity (2 papers). The work is most often cited by research in Pharmacology (259 citations), Computational Theory and Mathematics (158 citations), Organic Chemistry (229 citations), Biochemistry (33 citations) and Toxicology (13 citations). Donatella Bagetta has collaborated with scholars based in Italy, Portugal and Spain. Frequent co-authors include Stefano Alcaro, Francesco Ortuso, Fernanda Borges, Annalisa Maruca, Eugenio Uriarte, Raffaella Catalano, Francesca Alessandra Ambrosio, Isabella Romeo, Antonio Lupia and Giosuè Costa. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Enzyme Inhibition and Medicinal Chemistry, Journal of Medicinal Chemistry, Frontiers in Chemistry and Bioorganic & 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.