Claudia Andreini
- Nutrition and Dietetics top 0.2%
- Trace Elements in Health 18
- Hematology top 2%
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 22
- Protein Structure and Dynamics 13
- Machine Learning in Bioinformatics 7
- Genomics and Phylogenetic Studies 6
- Molecular Medicine top 5%
-
- Enzyme Structure and Function 12
-
- Metalloenzymes and iron-sulfur proteins 6
-
- Metal-Catalyzed Oxygenation Mechanisms 5
- Co-authors
- Ivano BertiniAntonio RosatoLucia BanciGabriele CavallaroJanet M. ThorntonGemma L. HollidayYana ValasatavaMarco Pagliai
- Journals
- Journal of Proteome Research (6 papers)Bioinformatics (5 papers)Journal of Chemical Information and Modeling (5 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Claudia Andreini
51 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Nutrition and Dietetics 2.0k
- Health, Toxicology and Mutagenesis 664
- Hematology 449
- Molecular Biology 2.1k
- Molecular Medicine 109
Countries citing papers authored by Claudia Andreini
This map shows the geographic impact of Claudia Andreini'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 Claudia Andreini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Andreini more than expected).
Fields of papers citing papers by Claudia Andreini
This network shows the impact of papers produced by Claudia Andreini. 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 Claudia Andreini. The network helps show where Claudia Andreini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudia Andreini, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 28 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 3 | |
| 9 | 2020 | 29 | |
| 10 | 2019 | 46 | |
| 11 | 2018 | 28 | |
| 12 | 2017 | 50 | |
| 13 | 2017 | 28 | |
| 14 | 2015 | 13 | |
| 15 | 2014 | 25 | |
| 16 | 2009 | 41 | |
| 17 | Metal ions in biological catalysis: from enzyme databases to general principlesbreakdown → | 2008 | 903 |
| 18 | 2007 | 64 | |
| 19 | 2007 | 84 | |
| 20 | 2006 | 35 |
About Claudia Andreini
Claudia Andreini is a scholar working on Nutrition and Dietetics, Molecular Biology and Renewable Energy, Sustainability and the Environment, having authored 54 papers that have together received 4.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (22 papers), Trace Elements in Health (18 papers), Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (12 papers), Machine Learning in Bioinformatics (7 papers), Genomics and Phylogenetic Studies (6 papers), Metalloenzymes and iron-sulfur proteins (6 papers) and Metal-Catalyzed Oxygenation Mechanisms (5 papers). The work is most often cited by research in Nutrition and Dietetics (2.0k citations), Health, Toxicology and Mutagenesis (664 citations) and Hematology (449 citations). Claudia Andreini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Ivano Bertini, Antonio Rosato, Lucia Banci, Gabriele Cavallaro, Janet M. Thornton, Gemma L. Holliday, Yana Valasatava, Marco Pagliai, Paolo Frasconi and Andrea Passerini. Their work appears in journals such as Journal of Proteome Research, Bioinformatics, Journal of Chemical Information and Modeling, Journal of Inorganic Biochemistry and Nucleic Acids 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.