Ester Papa
Impact in
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
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- Environmental Toxicology and Ecotoxicology
- Toxic Organic Pollutants Impact
Papers in
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- Computational Drug Discovery Methods 49
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- Environmental Toxicology and Ecotoxicology 13
- Toxic Organic Pollutants Impact 13
- Co-authors
- Paola Gramatica (57 shared papers)Simona Kovarich (17 shared papers)Stefano Cassani (7 shared papers)Nicola Chirico (10 shared papers)Pamela Pilutti (8 shared papers)Elisa Giani (3 shared papers)Tomas Öberg (5 shared papers)Igor V. Tetko (7 shared papers)
In The Last Decade
Ester Papa
83 papers receiving 4.1k citations
Ester Papa's Hit Papers
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 2.3k
- Health, Toxicology and Mutagenesis 825
- Environmental Chemistry 502
- Pollution 518
- Analytical Chemistry 353
Countries citing papers authored by Ester Papa
This map shows the geographic impact of Ester Papa'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 Ester Papa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ester Papa more than expected).
Fields of papers citing papers by Ester Papa
This network shows the impact of papers produced by Ester Papa. 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 Ester Papa. The network helps show where Ester Papa may publish in the future.
Co-authors
The 25 scholars most cited alongside Ester Papa, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | QSARINS: A new software for the development, analysis, and validation of QSAR MLR models Hit paper breakdown → | 2013 | 629 |
| 2 | 2008 | 354 | |
| 3 | 2008 | 249 | |
| 4 | 2006 | 225 | |
| 5 | 2012 | 214 | |
| 6 | 2004 | 194 | |
| 7 | 2005 | 148 | |
| 8 | 2010 | 123 | |
| 9 | 2006 | 118 | |
| 10 | 2013 | 99 | |
| 11 | 2003 | 93 | |
| 12 | 2006 | 83 | |
| 13 | 2013 | 82 | |
| 14 | 2009 | 81 | |
| 15 | 2007 | 66 | |
| 16 | 2010 | 66 | |
| 17 | 2006 | 58 | |
| 18 | 2005 | 55 | |
| 19 | 2004 | 53 | |
| 20 | 2006 | 50 |
About Ester Papa
Ester Papa is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Environmental Chemistry, Molecular Biology and Pollution, having authored 83 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (49 papers), Chemistry and Chemical Engineering (14 papers), Environmental Toxicology and Ecotoxicology (13 papers), Toxic Organic Pollutants Impact (13 papers), Free Radicals and Antioxidants (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Pharmaceutical and Antibiotic Environmental Impacts (9 papers) and Atmospheric chemistry and aerosols (8 papers). The work is most often cited by research in Computational Theory and Mathematics (2.3k citations), Health, Toxicology and Mutagenesis (825 citations), Environmental Chemistry (502 citations), Pollution (518 citations) and Analytical Chemistry (353 citations). Ester Papa has collaborated with scholars based in Italy, France and Sweden. Frequent co-authors include Paola Gramatica, Simona Kovarich, Stefano Cassani, Nicola Chirico, Pamela Pilutti, Elisa Giani, Tomas Öberg, Igor V. Tetko, Hao Zhu and Alexander Tropsha. Their work appears in journals such as SAR and QSAR in environmental research, Toxics, Molecular Informatics, Environmental Toxicology and Chemistry and Chemosphere.
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.