Andrea Ferrario
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 9
- Safety Research top 2%
- Ethics and Social Impacts of AI 14
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 15
- Applied Psychology top 10%
-
- Lymphoma Diagnosis and Treatment 15
-
- Explainable Artificial Intelligence (XAI) 7
- Adversarial Robustness in Machine Learning 4
-
- Mental Health via Writing 4
-
- Palliative Care and End-of-Life Issues 4
- Co-authors
- Michele LoiEleonora ViganòNikola Biller‐AndornoFlorian von WangenheimFrancesco PassamontiMichele MerliMargherita MaffioliRoberto La Marca
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)Blood (4 papers)
- Partner nations
- SwitzerlandItalyAustralia
In The Last Decade
Andrea Ferrario
75 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 165
- Health Informatics 142
- Safety Research 189
- Genetics 101
- Applied Psychology 41
- Neuropsychology and Physiological Psychology 12
Countries citing papers authored by Andrea Ferrario
This map shows the geographic impact of Andrea Ferrario'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 Andrea Ferrario with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Ferrario more than expected).
Fields of papers citing papers by Andrea Ferrario
This network shows the impact of papers produced by Andrea Ferrario. 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 Andrea Ferrario. The network helps show where Andrea Ferrario may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea Ferrario, 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 | 2024 | 7 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 10 | |
| 13 | 2020 | 21 | |
| 14 | 2014 | 12 | |
| 15 | 2013 | 4 | |
| 16 | 2012 | 5 | |
| 17 | 2010 | 12 | |
| 18 | 2010 | 10 | |
| 19 | 2008 | 20 | |
| 20 | CD5 negative chronic B cell leukemias : a polycentric retrospective study | 2005 | 1 |
About Andrea Ferrario
Andrea Ferrario is a scholar working on Health Informatics, Genetics and Safety Research, having authored 80 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (15 papers), Ethics and Social Impacts of AI (14 papers), Artificial Intelligence in Healthcare and Education (9 papers), Explainable Artificial Intelligence (XAI) (7 papers), Adversarial Robustness in Machine Learning (4 papers), Mental Health via Writing (4 papers) and Palliative Care and End-of-Life Issues (4 papers). The work is most often cited by research in Health Informatics (142 citations), Safety Research (189 citations) and Genetics (101 citations). Andrea Ferrario has collaborated with scholars based in Switzerland, Italy and Australia. Frequent co-authors include Michele Loi, Eleonora Viganò, Nikola Biller‐Andorno, Florian von Wangenheim, Francesco Passamonti, Michele Merli, Margherita Maffioli, Roberto La Marca, Christoph Höelscher and Victor R. Schinazi. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.