V. Faà
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Hematology top 5%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Genetics 16
- Hemoglobinopathies and Related Disorders 11
- Neurogenetic and Muscular Disorders Research 3
-
- Cystic Fibrosis Research Advances 4
- Co-authors
- Maria Cristina Rosatelli (18 shared papers)Antonio Cao (16 shared papers)Alessandra Meloni (12 shared papers)L. Saba (4 shared papers)A M Dozy (1 shared paper)Yuet Wai Kan (1 shared paper)Roberto Perniola (1 shared paper)Giovanni Monni (2 shared papers)
- Journals
- British Journal of Haematology (4 papers)Cells (2 papers)Human Molecular Genetics (2 papers)Journal of Molecular Diagnostics (2 papers)Prenatal Diagnosis (2 papers)
- Partner nations
- Italy
In The Last Decade
V. Faà
20 papers receiving 477 citations
Peers
Comparison fields: 5 of 70
- Genetics 234
- Hematology 164
- Pediatrics, Perinatology and Child Health 88
- Pulmonary and Respiratory Medicine 119
- Endocrinology, Diabetes and Metabolism 58
Countries citing papers authored by V. Faà
This map shows the geographic impact of V. Faà'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 V. Faà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Faà more than expected).
Fields of papers citing papers by V. Faà
This network shows the impact of papers produced by V. Faà. 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 V. Faà. The network helps show where V. Faà may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Faà, 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 | Molecular characterization of beta-thalassemia in the Sardinian population. | 1992 | 89 |
| 2 | 2002 | 66 | |
| 3 | 1992 | 58 | |
| 4 | 2009 | 33 | |
| 5 | 2004 | 30 | |
| 6 | 2008 | 29 | |
| 7 | 1992 | 27 | |
| 8 | 2010 | 20 | |
| 9 | 1994 | 18 | |
| 10 | 2004 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 1992 | 14 | |
| 13 | 2006 | 14 | |
| 14 | 1995 | 14 | |
| 15 | 1997 | 12 | |
| 16 | 2006 | 10 | |
| 17 | 1993 | 9 | |
| 18 | 2011 | 6 | |
| 19 | 1994 | 5 | |
| 20 | 2024 | 1 |
About V. Faà
V. Faà is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Hematology, Molecular Biology and Surgery, having authored 20 papers that have together received 489 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (11 papers), Iron Metabolism and Disorders (6 papers), Cystic Fibrosis Research Advances (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Kruppel-like factors research (2 papers), Prenatal Screening and Diagnostics (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Genetics (234 citations), Hematology (164 citations), Pediatrics, Perinatology and Child Health (88 citations), Pulmonary and Respiratory Medicine (119 citations) and Endocrinology, Diabetes and Metabolism (58 citations). V. Faà has collaborated with scholars based in Italy. Frequent co-authors include Maria Cristina Rosatelli, Antonio Cao, Alessandra Meloni, L. Saba, A M Dozy, Yuet Wai Kan, Roberto Perniola, Giovanni Monni, Maria Serafina Ristaldi and T Tuveri. Their work appears in journals such as British Journal of Haematology, Cells, Human Molecular Genetics, Journal of Molecular Diagnostics and Prenatal Diagnosis.
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.