Federico Felizzi
- Health Informatics top 10%
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- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 4
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- Lymphoma Diagnosis and Treatment 6
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- Economic and Financial Impacts of Cancer 4
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- Ophthalmology and Visual Impairment Studies 4
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- Lung Cancer Treatments and Mutations 4
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- Retinal Diseases and Treatments 3
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- Gene Regulatory Network Analysis 2
- Co-authors
- Noman ParachaCarlos B. DuarteMaria J. PintoJoshua RayRamiro D. AlmeidaTadeusz WielochMário GrãosCarlos V. Melo
- Journals
- Value in Health (5 papers)Ophthalmology and Therapy (3 papers)Journal of Medical Economics (2 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Federico Felizzi
22 papers receiving 301 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 13
- Developmental Neuroscience 23
- Oncology 105
- Cellular and Molecular Neuroscience 50
- Statistics and Probability 19
Countries citing papers authored by Federico Felizzi
This map shows the geographic impact of Federico Felizzi'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 Federico Felizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Felizzi more than expected).
Fields of papers citing papers by Federico Felizzi
This network shows the impact of papers produced by Federico Felizzi. 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 Federico Felizzi. The network helps show where Federico Felizzi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Federico Felizzi, 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 | 2023 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 49 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 0 | |
| 14 | 2019 | 25 | |
| 15 | 2018 | 54 | |
| 16 | 2017 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2012 | 2 | |
| 19 | 2012 | 14 | |
| 20 | 2012 | 76 |
About Federico Felizzi
Federico Felizzi is a scholar working on Pathology and Forensic Medicine, Ophthalmology, Oncology, Statistics and Probability and Health Information Management, having authored 24 papers that have together received 304 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Economic and Financial Impacts of Cancer (4 papers), Ophthalmology and Visual Impairment Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Retinal Diseases and Treatments (3 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Health Informatics (13 citations), Developmental Neuroscience (23 citations), Oncology (105 citations), Cellular and Molecular Neuroscience (50 citations) and Statistics and Probability (19 citations). Federico Felizzi has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Noman Paracha, Carlos B. Duarte, Maria J. Pinto, Joshua Ray, Ramiro D. Almeida, Tadeusz Wieloch, Mário Grãos, Carlos V. Melo, Ana R. Inácio and João R. Gomes. Their work appears in journals such as Value in Health, Ophthalmology and Therapy, Journal of Medical Economics, Journal of Thoracic Oncology and Journal of Neuroscience.
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.