Giuseppa Raitano
Impact in
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- Computational Drug Discovery Methods
- Chemical Health and Safety top 10%
Papers in
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- Computational Drug Discovery Methods 18
- Co-authors
- Emilio Benfenati (26 shared papers)Alessandra Roncaglioni (8 shared papers)Todd M. Martin (1 shared paper)Douglas Young (1 shared paper)Enrico Mombelli (4 shared papers)Alberto Manganaro (9 shared papers)Alberto Fernández (3 shared papers)Giuseppina Gini (4 shared papers)
In The Last Decade
Giuseppa Raitano
26 papers receiving 431 citations
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 251
- Chemical Health and Safety 10
- Health, Toxicology and Mutagenesis 109
- Small Animals 45
- Cancer Research 77
Countries citing papers authored by Giuseppa Raitano
This map shows the geographic impact of Giuseppa Raitano'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 Giuseppa Raitano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppa Raitano more than expected).
Fields of papers citing papers by Giuseppa Raitano
This network shows the impact of papers produced by Giuseppa Raitano. 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 Giuseppa Raitano. The network helps show where Giuseppa Raitano may publish in the future.
Co-authors
The 25 scholars most cited alongside Giuseppa Raitano, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 87 | |
| 2 | 2014 | 59 | |
| 3 | 2019 | 32 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 23 | |
| 6 | 2018 | 19 | |
| 7 | 2017 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2020 | 15 | |
| 10 | 2016 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2016 | 11 | |
| 17 | 2015 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2015 | 8 | |
| 20 | 2020 | 8 |
About Giuseppa Raitano
Giuseppa Raitano is a scholar working on Computational Theory and Mathematics, Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research and Environmental Chemistry, having authored 27 papers that have together received 437 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Carcinogens and Genotoxicity Assessment (7 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Environmental Toxicology and Ecotoxicology (4 papers), Chemistry and Chemical Engineering (4 papers), Advanced Chemical Sensor Technologies (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Computational Theory and Mathematics (251 citations), Chemical Health and Safety (10 citations), Health, Toxicology and Mutagenesis (109 citations), Small Animals (45 citations) and Cancer Research (77 citations). Giuseppa Raitano has collaborated with scholars based in Italy, France and Belgium. Frequent co-authors include Emilio Benfenati, Alessandra Roncaglioni, Todd M. Martin, Douglas Young, Enrico Mombelli, Alberto Manganaro, Alberto Fernández, Giuseppina Gini, Antonio Cassano and Andrey A. Toropov. Their work appears in journals such as SAR and QSAR in environmental research, Journal of Environmental Science and Health Part C, Mutagenesis, Molecules and Food and Chemical Toxicology.
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.