Francesco Dati
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Epidemiology top 10%
- Co-authors
- Mauro PanteghiniAlan H.B. WuFred S. AppleRobert H. ChristensonJohannes MairRobert F. RitchieJillian R. TateArmin Steinmetz
- Topics
- Acute Myocardial Infarction Research (11 papers)Clinical Laboratory Practices and Quality Control (10 papers)Cardiac Imaging and Diagnostics (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineInternal MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Francesco Dati
74 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 123
- Surgery 888
- Cardiology and Cardiovascular Medicine 881
- Endocrinology, Diabetes and Metabolism 405
- Radiology, Nuclear Medicine and Imaging 373
- Epidemiology 257
Countries citing papers authored by Francesco Dati
This map shows the geographic impact of Francesco Dati'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 Francesco Dati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Dati more than expected).
Fields of papers citing papers by Francesco Dati
This network shows the impact of papers produced by Francesco Dati. 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 Francesco Dati. The network helps show where Francesco Dati may publish in the future.
Co-authorship network of co-authors of Francesco Dati
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Dati. A scholar is included among the top collaborators of Francesco Dati 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 Francesco Dati. Francesco Dati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 94 | |
| 3 | 15 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 132 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 98 | |
| 10 | 53 | |
| 11 | 15 | |
| 12 | 3 | |
| 13 | ProC Global: the first functional screening assay for the complete protein C pathway. | 35 |
| 14 | 212 | |
| 15 | Clinical evaluation of a nephelometric myoglobin immunoassay | 1 |
| 16 | Standardization of commercial assays for serum Apo A-I and Apo B: a consensus procedure for the calibration of reference materials. | 4 |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 8 |
About Francesco Dati
Francesco Dati is a scholar working on Transplantation, Internal Medicine and Hematology, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (11 papers), Clinical Laboratory Practices and Quality Control (10 papers) and Cardiac Imaging and Diagnostics (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (881 citations), Internal Medicine (97 citations) and Endocrinology, Diabetes and Metabolism (405 citations). Francesco Dati has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Mauro Panteghini, Alan H.B. Wu, Fred S. Apple, Robert H. Christenson, Johannes Mair, Robert F. Ritchie, Jillian R. Tate, Armin Steinmetz, Jan Ravkilde and Santica M. Marcovina. Their work appears in journals such as PEDIATRICS, Analytical Biochemistry and Clinical Chemistry.
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.