Marco Marzo
Impact in
-
- Computational Drug Discovery Methods
-
- Environmental Toxicology and Ecotoxicology
- Effects and risks of endocrine disrupting chemicals
Papers in
-
- Computational Drug Discovery Methods 16
-
- Effects and risks of endocrine disrupting chemicals 10
- Environmental Toxicology and Ecotoxicology 5
- Co-authors
- Emilio Benfenati (23 shared papers)Andrey A. Toropov (12 shared papers)Alla P. Toropova (12 shared papers)Diego Baderna (6 shared papers)Giovanna J. Lavado (5 shared papers)J.L.C.M. Dorne (3 shared papers)Alessandra Roncaglioni (11 shared papers)Nikolaos Georgiadis (2 shared papers)
In The Last Decade
Marco Marzo
23 papers receiving 373 citations
Peers
Comparison fields: 5 of 84
- Computational Theory and Mathematics 217
- Health, Toxicology and Mutagenesis 154
- Chemical Health and Safety 7
- Small Animals 42
- Pollution 57
Countries citing papers authored by Marco Marzo
This map shows the geographic impact of Marco Marzo'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 Marco Marzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Marzo more than expected).
Fields of papers citing papers by Marco Marzo
This network shows the impact of papers produced by Marco Marzo. 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 Marco Marzo. The network helps show where Marco Marzo may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Marzo, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2017 | 51 | |
| 3 | 2016 | 40 | |
| 4 | 2017 | 32 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2018 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 3 | |
| 20 | 2020 | 3 |
About Marco Marzo
Marco Marzo is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Food Science, Small Animals and Molecular Biology, having authored 23 papers that have together received 380 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Effects and risks of endocrine disrupting chemicals (10 papers), Environmental Toxicology and Ecotoxicology (5 papers), Animal testing and alternatives (4 papers), Pesticide Residue Analysis and Safety (4 papers), Agricultural safety and regulations (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Pesticide and Herbicide Environmental Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (217 citations), Health, Toxicology and Mutagenesis (154 citations), Chemical Health and Safety (7 citations), Small Animals (42 citations) and Pollution (57 citations). Marco Marzo has collaborated with scholars based in Italy, Germany and Canada. Frequent co-authors include Emilio Benfenati, Andrey A. Toropov, Alla P. Toropova, Diego Baderna, Giovanna J. Lavado, J.L.C.M. Dorne, Alessandra Roncaglioni, Nikolaos Georgiadis, Domenico Gadaleta and Anna Lombardo. Their work appears in journals such as SAR and QSAR in environmental research, Molecular Diversity, Food and Chemical Toxicology, Toxicology and Journal of Molecular Graphics and Modelling.
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.