Anna Visibelli
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
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- Metabolism and Genetic Disorders 6
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- Artificial Intelligence in Healthcare and Education 5
- Co-authors
- Ottavia Spiga (19 shared papers)Annalisa Santucci (23 shared papers)Alfonso Trezza (12 shared papers)Vittoria Cicaloni (5 shared papers)Michela Geminiani (8 shared papers)Daniela Braconi (3 shared papers)Barbara Marzocchi (2 shared papers)Giulia Bernardini (1 shared paper)
- Journals
- International Journal of Molecular Sciences (6 papers)Applied Sciences (3 papers)Biomedicines (3 papers)Cells (2 papers)Foods (1 paper)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Anna Visibelli
25 papers receiving 242 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 48
- Clinical Biochemistry 28
- Computational Theory and Mathematics 35
- Health Information Management 18
- Cancer Research 10
Countries citing papers authored by Anna Visibelli
This map shows the geographic impact of Anna Visibelli'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 Visibelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Visibelli more than expected).
Fields of papers citing papers by Anna Visibelli
This network shows the impact of papers produced by Anna Visibelli. 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 Visibelli. The network helps show where Anna Visibelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Visibelli, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 67 | |
| 2 | 2021 | 39 | |
| 3 | 2020 | 27 | |
| 4 | 2024 | 24 | |
| 5 | 2021 | 12 | |
| 6 | 2025 | 9 | |
| 7 | 2022 | 8 | |
| 8 | 2025 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2025 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2025 | 5 | |
| 15 | 2025 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2020 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 2 |
About Anna Visibelli
Anna Visibelli is a scholar working on Clinical Biochemistry, Health Informatics, Computational Theory and Mathematics, Molecular Biology and Pharmacology, having authored 28 papers that have together received 253 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Artificial Intelligence in Healthcare and Education (5 papers), Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (5 papers), Genomics and Rare Diseases (3 papers), Machine Learning in Materials Science (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Health Informatics (48 citations), Clinical Biochemistry (28 citations), Computational Theory and Mathematics (35 citations), Health Information Management (18 citations) and Cancer Research (10 citations). Anna Visibelli has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Ottavia Spiga, Annalisa Santucci, Alfonso Trezza, Vittoria Cicaloni, Michela Geminiani, Daniela Braconi, Barbara Marzocchi, Giulia Bernardini, Barbara Vecchi and Lia Millucci. Their work appears in journals such as International Journal of Molecular Sciences, Applied Sciences, Biomedicines, Cells and Foods.
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.