Maria D’Avino
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Biochemistry top 5%
- Pathology and Forensic Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Domenico CarusoGian Carlo TenoreEttore NovellinoMaria MaistoRoberto CiampagliaM VarricchioFederico CacciapuotiUgo Bianchi
- Topics
- Cardiovascular Function and Risk Factors (4 papers)Blood Pressure and Hypertension Studies (4 papers)Cardiac Imaging and Diagnostics (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaMacromoleculesThe American Journal of Cardiology
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Maria D’Avino
24 papers receiving 488 citations
Peers
Comparison fields: 5 of 96
- Cardiology and Cardiovascular Medicine 118
- Molecular Biology 105
- Biochemistry 89
- Pathology and Forensic Medicine 67
- Endocrinology, Diabetes and Metabolism 65
Countries citing papers authored by Maria D’Avino
This map shows the geographic impact of Maria D’Avino'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 Maria D’Avino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria D’Avino more than expected).
Fields of papers citing papers by Maria D’Avino
This network shows the impact of papers produced by Maria D’Avino. 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 Maria D’Avino. The network helps show where Maria D’Avino may publish in the future.
Co-authorship network of co-authors of Maria D’Avino
This figure shows the co-authorship network connecting the top 25 collaborators of Maria D’Avino. A scholar is included among the top collaborators of Maria D’Avino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria D’Avino. Maria D’Avino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 24 | |
| 3 | 7 | |
| 4 | 25 | |
| 5 | 1 | |
| 6 | 32 | |
| 7 | 7 | |
| 8 | 10 | |
| 9 | 21 | |
| 10 | 35 | |
| 11 | 20 | |
| 12 | 23 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | Diffuse plane normolipemic xanthomatosis associated with Takayasu's disease and hyperhomocysteinemia: a case report. | 0 |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 82 | |
| 20 | 1 |
About Maria D’Avino
Maria D’Avino is a scholar working on Family Practice, Geriatrics and Gerontology and Biochemistry, having authored 26 papers that have together received 500 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Blood Pressure and Hypertension Studies (4 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Biochemistry (89 citations), Family Practice (13 citations) and Cardiology and Cardiovascular Medicine (118 citations). Maria D’Avino has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Domenico Caruso, Gian Carlo Tenore, Ettore Novellino, Maria Maisto, Roberto Ciampaglia, M Varricchio, Federico Cacciapuoti, Ugo Bianchi, Giuseppe Caruso and Pietro Campiglia. Their work appears in journals such as SHILAP Revista de lepidopterología, Macromolecules and The American Journal of Cardiology.
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.