Anna Berteotti
Impact in
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- Protein Structure and Dynamics
- Protein Tyrosine Phosphatases
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 5
- Protein Tyrosine Phosphatases 3
- Peroxisome Proliferator-Activated Receptors 2
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- Enzyme Structure and Function 4
- Co-authors
- Andrea Cavalli (8 shared papers)Walter Rocchia (2 shared papers)Michele Parrinello (2 shared papers)Simone Ronsisvalle (1 shared paper)Jagdish Suresh Patel (1 shared paper)Maurizio Recanatini (2 shared papers)Francesco Luigi Gervasio (2 shared papers)Giovanni Bottegoni (3 shared papers)
- Journals
- Nature Communications (2 papers)Journal of Medicinal Chemistry (2 papers)Journal of the American Chemical Society (2 papers)ChemMedChem (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Anna Berteotti
13 papers receiving 823 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 550
- Computational Theory and Mathematics 122
- Toxicology 23
- Immunology 137
- Oncology 148
Countries citing papers authored by Anna Berteotti
This map shows the geographic impact of Anna Berteotti'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 Berteotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Berteotti more than expected).
Fields of papers citing papers by Anna Berteotti
This network shows the impact of papers produced by Anna Berteotti. 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 Berteotti. The network helps show where Anna Berteotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Berteotti, 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 | 2020 | 192 | |
| 2 | 2014 | 135 | |
| 3 | 2008 | 116 | |
| 4 | 2015 | 91 | |
| 5 | 2014 | 85 | |
| 6 | 2011 | 56 | |
| 7 | 2020 | 49 | |
| 8 | 2013 | 39 | |
| 9 | 2014 | 27 | |
| 10 | 2011 | 19 | |
| 11 | 2014 | 11 | |
| 12 | 2017 | 5 | |
| 13 | 2024 | 1 |
About Anna Berteotti
Anna Berteotti is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Pharmacology and Pharmacology, having authored 13 papers that have together received 826 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (4 papers), Protein Tyrosine Phosphatases (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Galectins and Cancer Biology (2 papers), Microtubule and mitosis dynamics (2 papers), Cannabis and Cannabinoid Research (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Molecular Biology (550 citations), Computational Theory and Mathematics (122 citations), Toxicology (23 citations), Immunology (137 citations) and Oncology (148 citations). Anna Berteotti has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Andrea Cavalli, Walter Rocchia, Michele Parrinello, Simone Ronsisvalle, Jagdish Suresh Patel, Maurizio Recanatini, Francesco Luigi Gervasio, Giovanni Bottegoni, Maja Köhn and Alessandro Barducci. Their work appears in journals such as Nature Communications, Journal of Medicinal Chemistry, Journal of the American Chemical Society, ChemMedChem and Journal of Chemical Information and Modeling.
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.