Anna Lombardo
Impact in
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- Environmental Toxicology and Ecotoxicology
- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 28
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- Environmental Toxicology and Ecotoxicology 13
- Effects and risks of endocrine disrupting chemicals 8
- Co-authors
- Emilio Benfenati (45 shared papers)Alessandra Roncaglioni (16 shared papers)Fabiola Pizzo (8 shared papers)Alberto Manganaro (10 shared papers)Diego Baderna (7 shared papers)Domenico Gadaleta (6 shared papers)Kunal Roy (7 shared papers)Cláudia Cappelli (7 shared papers)
In The Last Decade
Anna Lombardo
49 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 123
- Health, Toxicology and Mutagenesis 502
- Computational Theory and Mathematics 584
- Pollution 347
- Environmental Chemistry 171
- Analytical Chemistry 135
Countries citing papers authored by Anna Lombardo
This map shows the geographic impact of Anna Lombardo'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 Anna Lombardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Lombardo more than expected).
Fields of papers citing papers by Anna Lombardo
This network shows the impact of papers produced by Anna Lombardo. 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 Anna Lombardo. The network helps show where Anna Lombardo may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Lombardo, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 131 | |
| 2 | 2017 | 84 | |
| 3 | 2019 | 80 | |
| 4 | 2010 | 70 | |
| 5 | 2018 | 62 | |
| 6 | 2011 | 59 | |
| 7 | 2013 | 54 | |
| 8 | 2019 | 44 | |
| 9 | 2015 | 43 | |
| 10 | 2012 | 39 | |
| 11 | 2019 | 37 | |
| 12 | 2014 | 36 | |
| 13 | 2016 | 36 | |
| 14 | 2013 | 36 | |
| 15 | 2019 | 35 | |
| 16 | 2014 | 34 | |
| 17 | 2022 | 34 | |
| 18 | 2019 | 33 | |
| 19 | 2015 | 32 | |
| 20 | 2021 | 28 |
About Anna Lombardo
Anna Lombardo is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Pollution, Food Science and Environmental Chemistry, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (28 papers), Environmental Toxicology and Ecotoxicology (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (9 papers), Pesticide Residue Analysis and Safety (8 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Chemistry and Chemical Engineering (6 papers), Analytical Chemistry and Chromatography (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (502 citations), Computational Theory and Mathematics (584 citations), Pollution (347 citations), Environmental Chemistry (171 citations) and Analytical Chemistry (135 citations). Anna Lombardo has collaborated with scholars based in Italy, Germany and India. Frequent co-authors include Emilio Benfenati, Alessandra Roncaglioni, Fabiola Pizzo, Alberto Manganaro, Diego Baderna, Domenico Gadaleta, Kunal Roy, Cláudia Cappelli, Alla P. Toropova and Andrey A. Toropov. Their work appears in journals such as The Science of The Total Environment, Environment International, SAR and QSAR in environmental research, Chemosphere and Environmental Research.
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.