Giulia Ferrari
Impact in
-
- Teaching and Learning Programming
Papers in
- Genetics 4
- Hemoglobinopathies and Related Disorders 3
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- Acute Myeloid Leukemia Research 2
- Co-authors
- Francesca Ferrara (8 shared papers)Elizabeth de Freitas (1 shared paper)Ricardo Nemirovsky (2 shared papers)Francesco Saettini (3 shared papers)Andrea Biondi (6 shared papers)Fabiola Mancini (1 shared paper)Maria Caterina Putti (1 shared paper)Cristina Papayannidis (1 shared paper)
- Journals
- Educational Studies in Mathematics (3 papers)Journal of Geriatric Oncology (2 papers)British Journal of Haematology (1 paper)Med (1 paper)Frontiers in Pediatrics (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Giulia Ferrari
22 papers receiving 116 citations
Peers
Comparison fields: 5 of 63
- Human Factors and Ergonomics 5
- Computer Science Applications 8
- Education 38
- Hematology 13
- Statistics and Probability 10
Countries citing papers authored by Giulia Ferrari
This map shows the geographic impact of Giulia Ferrari'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 Giulia Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Ferrari more than expected).
Fields of papers citing papers by Giulia Ferrari
This network shows the impact of papers produced by Giulia Ferrari. 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 Giulia Ferrari. The network helps show where Giulia Ferrari may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Ferrari, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 19 | |
| 2 | 2016 | 15 | |
| 3 | 2020 | 13 | |
| 4 | 2014 | 11 | |
| 5 | 2024 | 8 | |
| 6 | 2020 | 8 | |
| 7 | 2015 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 1956 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 1957 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2019 | 2 | |
| 17 | When gender matters: A study of gender differences in mathematics | 2021 | 2 |
| 18 | Low prevalence of IDH1 gene mutation in childhood AML in Italy. Leukemia. | 2010 | 2 |
| 19 | Moving as a Circle: Folds and Nuances of a Mathematical Concept. | 2020 | 1 |
| 20 | 2022 | 1 |
About Giulia Ferrari
Giulia Ferrari is a scholar working on Genetics, Hematology, Physiology, Education and Oncology, having authored 29 papers that have together received 119 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Innovative Education and Learning Practices (2 papers), Nutrition and Health in Aging (2 papers), Acute Myeloid Leukemia Research (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Frailty in Older Adults (2 papers). The work is most often cited by research in Human Factors and Ergonomics (5 citations), Computer Science Applications (8 citations), Education (38 citations), Hematology (13 citations) and Statistics and Probability (10 citations). Giulia Ferrari has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Francesca Ferrara, Elizabeth de Freitas, Ricardo Nemirovsky, Francesco Saettini, Andrea Biondi, Fabiola Mancini, Maria Caterina Putti, Cristina Papayannidis, Maria Chiara Abbenante and Carmelo Rizzari. Their work appears in journals such as Educational Studies in Mathematics, Journal of Geriatric Oncology, British Journal of Haematology, Med and Frontiers in Pediatrics.
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.