Daniela Trisciuzzi
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
- Pharmacogenetics and Drug Metabolism
Papers in
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- Computational Drug Discovery Methods 26
- Co-authors
- Orazio Nicolotti (42 shared papers)Giuseppe Felice Mangiatordi (16 shared papers)Nicola Gambacorta (16 shared papers)Domenico Alberga (7 shared papers)Fulvio Ciriaco (12 shared papers)Francesco Leonetti (8 shared papers)Domenico Alberga (10 shared papers)Nicola Amoroso (10 shared papers)
- Journals
- Journal of Chemical Information and Modeling (7 papers)European Journal of Medicinal Chemistry (2 papers)Molecules (2 papers)International Journal of Molecular Sciences (2 papers)Journal of Computational Chemistry (1 paper)
- Partner nations
- ItalyIndiaUnited States
In The Last Decade
Daniela Trisciuzzi
38 papers receiving 713 citations
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 398
- Pharmacology 109
- Pharmacology 52
- Drug Discovery 1
- Health, Toxicology and Mutagenesis 67
Countries citing papers authored by Daniela Trisciuzzi
This map shows the geographic impact of Daniela Trisciuzzi'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 Daniela Trisciuzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Trisciuzzi more than expected).
Fields of papers citing papers by Daniela Trisciuzzi
This network shows the impact of papers produced by Daniela Trisciuzzi. 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 Daniela Trisciuzzi. The network helps show where Daniela Trisciuzzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Trisciuzzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2018 | 65 | |
| 3 | 2022 | 43 | |
| 4 | 2017 | 40 | |
| 5 | 2015 | 35 | |
| 6 | 2022 | 35 | |
| 7 | 2019 | 33 | |
| 8 | 2017 | 31 | |
| 9 | 2018 | 31 | |
| 10 | 2017 | 29 | |
| 11 | 2018 | 26 | |
| 12 | 2018 | 25 | |
| 13 | 2016 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2017 | 20 | |
| 16 | 2024 | 20 | |
| 17 | 2022 | 20 | |
| 18 | 2024 | 18 | |
| 19 | 2023 | 15 | |
| 20 | 2022 | 15 |
About Daniela Trisciuzzi
Daniela Trisciuzzi is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Organic Chemistry and Pharmacology, having authored 43 papers that have together received 715 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Cholinesterase and Neurodegenerative Diseases (10 papers), Pharmacogenetics and Drug Metabolism (6 papers), Synthesis and biological activity (6 papers), Microbial Natural Products and Biosynthesis (4 papers), Peptidase Inhibition and Analysis (3 papers), Click Chemistry and Applications (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). The work is most often cited by research in Computational Theory and Mathematics (398 citations), Pharmacology (109 citations), Pharmacology (52 citations), Drug Discovery (1 citation) and Health, Toxicology and Mutagenesis (67 citations). Daniela Trisciuzzi has collaborated with scholars based in Italy, India and United States. Frequent co-authors include Orazio Nicolotti, Giuseppe Felice Mangiatordi, Nicola Gambacorta, Domenico Alberga, Fulvio Ciriaco, Francesco Leonetti, Domenico Alberga, Nicola Amoroso, Marco Catto and Kamel Mansouri. Their work appears in journals such as Journal of Chemical Information and Modeling, European Journal of Medicinal Chemistry, Molecules, International Journal of Molecular Sciences and Journal of Computational 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.