F. Di Gregorio
- Genetics top 5%
- Surgery
- Hematology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Co-authors
- Luigi MansiPier Francesco RambaldiE ProcacciniA MangiagliDomenico De MattiaM A RomeoPaolo FilipponiG Pizzarelli
- Topics
- Cardiac pacing and defibrillation studies (5 papers)Orthopedic Infections and Treatments (5 papers)Diabetes Management and Research (5 papers)
- Journals
- Journal of NeurophysiologyEuropean Heart JournalPflügers Archiv - European Journal of Physiology
- Partner nations
- ItalyUnited StatesCzechia
In The Last Decade
F. Di Gregorio
48 papers receiving 652 citations
Peers
Comparison fields: 5 of 80
- Genetics 164
- Surgery 152
- Hematology 144
- Endocrinology, Diabetes and Metabolism 143
- Molecular Biology 133
Countries citing papers authored by F. Di Gregorio
This map shows the geographic impact of F. Di Gregorio'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 F. Di Gregorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Di Gregorio more than expected).
Fields of papers citing papers by F. Di Gregorio
This network shows the impact of papers produced by F. Di Gregorio. 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 F. Di Gregorio. The network helps show where F. Di Gregorio may publish in the future.
Co-authorship network of co-authors of F. Di Gregorio
This figure shows the co-authorship network connecting the top 25 collaborators of F. Di Gregorio. A scholar is included among the top collaborators of F. Di Gregorio 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 F. Di Gregorio. F. Di Gregorio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 36 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 37 | |
| 12 | Short stature and body proportion in thalassaemia. | 19 |
| 13 | 11 | |
| 14 | 16 | |
| 15 | 19 | |
| 16 | 58 | |
| 17 | 10 | |
| 18 | 51 | |
| 19 | Do metformin and phenformin potentiate differently B-cell response to high glucose? An in vitro study on isolated rat pancreas. | 2 |
| 20 | 9 |
About F. Di Gregorio
F. Di Gregorio is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics, having authored 51 papers that have together received 684 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (5 papers), Orthopedic Infections and Treatments (5 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Genetics (164 citations), Hematology (144 citations) and Endocrinology, Diabetes and Metabolism (143 citations). F. Di Gregorio has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Luigi Mansi, Pier Francesco Rambaldi, E Procaccini, A Mangiagli, Domenico De Mattia, M A Romeo, Paolo Filipponi, G Pizzarelli, A. Di Palma and Vincenzo Caruso. Their work appears in journals such as Journal of Neurophysiology, European Heart Journal and Pflügers Archiv - European Journal of Physiology.
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.