L. Vettore
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Hematology top 5%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Physiology 19
- Erythrocyte Function and Pathophysiology 18
- Genetics 15
- Hemoglobinopathies and Related Disorders 15
- Co-authors
- Giancarlo Falezza (4 shared papers)Roberto Corrocher (5 shared papers)Mariagabriella Mariani (1 shared paper)G. Perona (3 shared papers)Alberto Zanella (1 shared paper)G. De Sandre (3 shared papers)G Patrassi (1 shared paper)Michele Stenico (1 shared paper)
- Journals
- British Journal of Haematology (10 papers)Acta Haematologica (4 papers)Blood (2 papers)Clinica Chimica Acta (2 papers)Vox Sanguinis (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
L. Vettore
36 papers receiving 462 citations
Peers
Comparison fields: 5 of 72
- Genetics 192
- Hematology 179
- Physiology 225
- Pediatrics, Perinatology and Child Health 80
- Cell Biology 65
Countries citing papers authored by L. Vettore
This map shows the geographic impact of L. Vettore'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 L. Vettore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Vettore more than expected).
Fields of papers citing papers by L. Vettore
This network shows the impact of papers produced by L. Vettore. 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 L. Vettore. The network helps show where L. Vettore may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Vettore, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 136 | |
| 2 | 1984 | 46 | |
| 3 | 1977 | 33 | |
| 4 | 1987 | 30 | |
| 5 | 1993 | 25 | |
| 6 | 1978 | 24 | |
| 7 | 1987 | 22 | |
| 8 | 1988 | 18 | |
| 9 | 1974 | 17 | |
| 10 | 1978 | 15 | |
| 11 | 1968 | 15 | |
| 12 | 1974 | 15 | |
| 13 | 1983 | 13 | |
| 14 | 1996 | 9 | |
| 15 | 1982 | 9 | |
| 16 | 1974 | 8 | |
| 17 | 1992 | 7 | |
| 18 | Micro-chromatographic measurement of hemoglobin A1 in uremia. | 1983 | 6 |
| 19 | 1990 | 5 | |
| 20 | 1988 | 5 |
About L. Vettore
L. Vettore is a scholar working on Physiology, Genetics, Hematology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 36 papers that have together received 498 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (18 papers), Hemoglobinopathies and Related Disorders (15 papers), Iron Metabolism and Disorders (9 papers), Blood properties and coagulation (7 papers), Hemoglobin structure and function (6 papers), Blood groups and transfusion (3 papers), Pancreatic function and diabetes (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Genetics (192 citations), Hematology (179 citations), Physiology (225 citations), Pediatrics, Perinatology and Child Health (80 citations) and Cell Biology (65 citations). L. Vettore has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Giancarlo Falezza, Roberto Corrocher, Mariagabriella Mariani, G. Perona, Alberto Zanella, G. De Sandre, G Patrassi, Michele Stenico, Oliviero Olivieri and Antonio Girolami. Their work appears in journals such as British Journal of Haematology, Acta Haematologica, Blood, Clinica Chimica Acta and Vox Sanguinis.
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.