Cosimo Toma
Impact in
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- Computational Drug Discovery Methods
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- Environmental Toxicology and Ecotoxicology
- Effects and risks of endocrine disrupting chemicals
Papers in
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- Computational Drug Discovery Methods 9
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- Metabolomics and Mass Spectrometry Studies 4
- Co-authors
- Emilio Benfenati (15 shared papers)Domenico Gadaleta (6 shared papers)Alessandra Roncaglioni (6 shared papers)Anna Lombardo (4 shared papers)Giovanna J. Lavado (3 shared papers)Agnes L. Karmaus (1 shared paper)Kristijan Vuković (1 shared paper)Nicole Kleinstreuer (1 shared paper)
- Journals
- Molecules (3 papers)Journal of Cheminformatics (2 papers)Molecular Informatics (1 paper)Ecotoxicology and Environmental Safety (1 paper)Toxicology (1 paper)
- Partner nations
- ItalyNetherlandsGermany
In The Last Decade
Cosimo Toma
17 papers receiving 552 citations
Peers
Comparison fields: 5 of 92
- Computational Theory and Mathematics 255
- Health, Toxicology and Mutagenesis 111
- Chemical Health and Safety 5
- Insect Science 83
- Small Animals 37
Countries citing papers authored by Cosimo Toma
This map shows the geographic impact of Cosimo Toma'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 Cosimo Toma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cosimo Toma more than expected).
Fields of papers citing papers by Cosimo Toma
This network shows the impact of papers produced by Cosimo Toma. 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 Cosimo Toma. The network helps show where Cosimo Toma may publish in the future.
Co-authors
The 25 scholars most cited alongside Cosimo Toma, 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 | 133 | |
| 2 | 2019 | 70 | |
| 3 | 2018 | 62 | |
| 4 | 2018 | 59 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 37 | |
| 7 | 2020 | 33 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 25 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 3 | |
| 16 | Estimation of genotoxic potential of carbendazim in fenugreek | 2010 | 2 |
| 17 | 2018 | 1 |
About Cosimo Toma
Cosimo Toma is a scholar working on Computational Theory and Mathematics, Molecular Biology, Health, Toxicology and Mutagenesis, Plant Science and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 564 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Water Quality Monitoring and Analysis (2 papers), Insect Pest Control Strategies (2 papers), Machine Learning in Materials Science (2 papers), Insect and Pesticide Research (2 papers) and Pesticide Residue Analysis and Safety (2 papers). The work is most often cited by research in Computational Theory and Mathematics (255 citations), Health, Toxicology and Mutagenesis (111 citations), Chemical Health and Safety (5 citations), Insect Science (83 citations) and Small Animals (37 citations). Cosimo Toma has collaborated with scholars based in Italy, Netherlands and Germany. Frequent co-authors include Emilio Benfenati, Domenico Gadaleta, Alessandra Roncaglioni, Anna Lombardo, Giovanna J. Lavado, Agnes L. Karmaus, Kristijan Vuković, Nicole Kleinstreuer, Kamel Mansouri and Diego Baderna. Their work appears in journals such as Molecules, Journal of Cheminformatics, Molecular Informatics, Ecotoxicology and Environmental Safety and 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.