Massimo Daves
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Family Practice top 10%
Papers in
- Physiology 21
- Clinical Laboratory Practices and Quality Control 19
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- Acute Myocardial Infarction Research 4
- Co-authors
- Giuseppe Lippi (23 shared papers)Roberto Cemin (16 shared papers)Andrea Piccin (8 shared papers)Camilla Mattiuzzi (3 shared papers)Gian Luca Salvagno (10 shared papers)Martina Montagnana (8 shared papers)Giuseppe Banfi (8 shared papers)Nicola Bizzaro (4 shared papers)
In The Last Decade
Massimo Daves
48 papers receiving 666 citations
Peers
Comparison fields: 5 of 90
- Genetics 97
- Family Practice 16
- Statistics, Probability and Uncertainty 67
- Hepatology 63
- Physiology 207
Countries citing papers authored by Massimo Daves
This map shows the geographic impact of Massimo Daves'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 Massimo Daves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Daves more than expected).
Fields of papers citing papers by Massimo Daves
This network shows the impact of papers produced by Massimo Daves. 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 Massimo Daves. The network helps show where Massimo Daves may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Daves, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 92 | |
| 2 | 2019 | 80 | |
| 3 | 2014 | 74 | |
| 4 | 2012 | 41 | |
| 5 | 2011 | 35 | |
| 6 | 2014 | 35 | |
| 7 | 2015 | 32 | |
| 8 | 2014 | 28 | |
| 9 | 2021 | 23 | |
| 10 | 2014 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2008 | 18 | |
| 13 | 2012 | 17 | |
| 14 | 2011 | 16 | |
| 15 | 2014 | 16 | |
| 16 | 2015 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 2011 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2016 | 8 |
About Massimo Daves
Massimo Daves is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 51 papers that have together received 693 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (19 papers), Acute Myocardial Infarction Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Blood donation and transfusion practices (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Blood groups and transfusion (3 papers), Blood transfusion and management (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Genetics (97 citations), Family Practice (16 citations), Statistics, Probability and Uncertainty (67 citations), Hepatology (63 citations) and Physiology (207 citations). Massimo Daves has collaborated with scholars based in Italy, Ireland and Austria. Frequent co-authors include Giuseppe Lippi, Roberto Cemin, Andrea Piccin, Camilla Mattiuzzi, Gian Luca Salvagno, Martina Montagnana, Giuseppe Banfi, Nicola Bizzaro, C. Murphy and Davide Giavarina. Their work appears in journals such as Biochemia Medica, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Laboratory Analysis, Clinical Biochemistry and Current Cardiology Reviews.
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.