Anna Marabotti
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
- Biochemistry 18
- Amino Acid Enzymes and Metabolism 16
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- Metabolism and Genetic Disorders 16
- Co-authors
- Angelo M. Facchiano (37 shared papers)Andrea Mozzarelli (10 shared papers)Pietro Cozzini (6 shared papers)Glen E. Kellogg (6 shared papers)Serena Dotolo (5 shared papers)Sabato D’Auria (25 shared papers)Luciano Milanesi (12 shared papers)Donald J. Abraham (3 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (8 papers)Molecules (4 papers)Briefings in Bioinformatics (4 papers)PLoS ONE (4 papers)Journal of Proteome Research (3 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Anna Marabotti
98 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 127
- Clinical Biochemistry 207
- Biochemistry 165
- Computational Theory and Mathematics 286
- Molecular Biology 1.1k
- Sensory Systems 49
Countries citing papers authored by Anna Marabotti
This map shows the geographic impact of Anna Marabotti'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 Marabotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Marabotti more than expected).
Fields of papers citing papers by Anna Marabotti
This network shows the impact of papers produced by Anna Marabotti. 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 Marabotti. The network helps show where Anna Marabotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Marabotti, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 136 | |
| 2 | 2002 | 119 | |
| 3 | 2004 | 85 | |
| 4 | 2013 | 56 | |
| 5 | 2014 | 55 | |
| 6 | 2007 | 54 | |
| 7 | 2020 | 49 | |
| 8 | 2017 | 44 | |
| 9 | 2016 | 44 | |
| 10 | 2021 | 43 | |
| 11 | 2018 | 43 | |
| 12 | 2008 | 41 | |
| 13 | 2016 | 38 | |
| 14 | 2016 | 37 | |
| 15 | 2005 | 37 | |
| 16 | 2002 | 37 | |
| 17 | 2009 | 35 | |
| 18 | 2004 | 35 | |
| 19 | 2015 | 33 | |
| 20 | 2011 | 33 |
About Anna Marabotti
Anna Marabotti is a scholar working on Biochemistry, Clinical Biochemistry, Molecular Biology, Materials Chemistry and Computational Theory and Mathematics, having authored 108 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (32 papers), Enzyme Structure and Function (29 papers), Metabolism and Genetic Disorders (16 papers), Amino Acid Enzymes and Metabolism (16 papers), Biochemical and Molecular Research (10 papers), Computational Drug Discovery Methods (8 papers), RNA and protein synthesis mechanisms (6 papers) and Biochemical Analysis and Sensing Techniques (4 papers). The work is most often cited by research in Clinical Biochemistry (207 citations), Biochemistry (165 citations), Computational Theory and Mathematics (286 citations), Molecular Biology (1.1k citations) and Sensory Systems (49 citations). Anna Marabotti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Angelo M. Facchiano, Andrea Mozzarelli, Pietro Cozzini, Glen E. Kellogg, Serena Dotolo, Sabato D’Auria, Luciano Milanesi, Donald J. Abraham, Roberto Tagliaferri and Maria Staiano. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Molecules, Briefings in Bioinformatics, PLoS ONE and Journal of Proteome 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.