Davide Giavarina
- Physiology top 2%
- Surgery top 5%
- Biomedical Engineering top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Giuseppe LippiNicola BizzaroRenato TozzoliGian Luca SalvagnoMariarosa CartaClaudio RoncoMartina MontagnanaMarco Caputo
- Topics
- Clinical Laboratory Practices and Quality Control (23 papers)Acute Kidney Injury Research (19 papers)Dialysis and Renal Disease Management (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Davide Giavarina
100 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Physiology 973
- Surgery 708
- Biomedical Engineering 679
- Cardiology and Cardiovascular Medicine 644
- Radiology, Nuclear Medicine and Imaging 549
Countries citing papers authored by Davide Giavarina
This map shows the geographic impact of Davide Giavarina'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 Davide Giavarina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Giavarina more than expected).
Fields of papers citing papers by Davide Giavarina
This network shows the impact of papers produced by Davide Giavarina. 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 Davide Giavarina. The network helps show where Davide Giavarina may publish in the future.
Co-authorship network of co-authors of Davide Giavarina
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Giavarina. A scholar is included among the top collaborators of Davide Giavarina 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 Davide Giavarina. Davide Giavarina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 14 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 40 | |
| 16 | 63 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | Multicenter comparison of seven 25OH vitamin D automated immunoassays | 1 |
| 20 | 31 |
About Davide Giavarina
Davide Giavarina is a scholar working on Nephrology, Statistics, Probability and Uncertainty and Medical Laboratory Technology, having authored 102 papers that have together received 5.0k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (23 papers), Acute Kidney Injury Research (19 papers) and Dialysis and Renal Disease Management (14 papers). The work is most often cited by research in Nephrology (380 citations), Statistics, Probability and Uncertainty (340 citations) and Physiology (973 citations). Davide Giavarina has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Giuseppe Lippi, Nicola Bizzaro, Renato Tozzoli, Gian Luca Salvagno, Mariarosa Carta, Claudio Ronco, Martina Montagnana, Marco Caputo, Marcello Bagnasco and Danilo Villalta. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.
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.