F. Pecori Giraldi
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- Francesco CavagniniF. CavagniniRosario PivonelloGaetano LombardiAntongiulio FaggianoAnnamaria ColaoMassimo ScacchiGiancarlo Marenzi
- Topics
- Pituitary Gland Disorders and Treatments (10 papers)Adrenal Hormones and Disorders (8 papers)Atrial Fibrillation Management and Outcomes (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismBehavioral NeuroscienceCardiology and Cardiovascular Medicine
- Journals
- Journal of Clinical InvestigationThe Journal of Clinical Endocrinology & MetabolismEndocrinology
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
F. Pecori Giraldi
32 papers receiving 686 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 387
- Surgery 173
- Cardiology and Cardiovascular Medicine 169
- Molecular Biology 73
- Epidemiology 72
Countries citing papers authored by F. Pecori Giraldi
This map shows the geographic impact of F. Pecori Giraldi'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. Pecori Giraldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Pecori Giraldi more than expected).
Fields of papers citing papers by F. Pecori Giraldi
This network shows the impact of papers produced by F. Pecori Giraldi. 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. Pecori Giraldi. The network helps show where F. Pecori Giraldi may publish in the future.
Co-authorship network of co-authors of F. Pecori Giraldi
This figure shows the co-authorship network connecting the top 25 collaborators of F. Pecori Giraldi. A scholar is included among the top collaborators of F. Pecori Giraldi 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. Pecori Giraldi. F. Pecori Giraldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 19 | |
| 6 | Hypopituitarism in Cushing's disease. | 2 |
| 7 | 24 | |
| 8 | 20 | |
| 9 | 25 | |
| 10 | 16 | |
| 11 | 15 | |
| 12 | 113 | |
| 13 | 42 | |
| 14 | 11 | |
| 15 | 30 | |
| 16 | 69 | |
| 17 | 35 | |
| 18 | 67 | |
| 19 | 16 | |
| 20 | 13 |
About F. Pecori Giraldi
F. Pecori Giraldi is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 705 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (10 papers), Adrenal Hormones and Disorders (8 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (387 citations), Behavioral Neuroscience (60 citations) and Cardiology and Cardiovascular Medicine (169 citations). F. Pecori Giraldi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Francesco Cavagnini, F. Cavagnini, Rosario Pivonello, Gaetano Lombardi, Antongiulio Faggiano, Annamaria Colao, Massimo Scacchi, Giancarlo Marenzi, Gianfranco Lauri and Alessandro Salvioni. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.
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.