Francesca Pecori Giraldi
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 5%
- Genetics top 5%
- Molecular Biology
- Epidemiology
- Co-authors
- Francesco CavagniniMartina De MartinCecilia InvittiAlberto Giacinto AmbrogioMassimo ScacchiMassimiliano AndrioliPaola Maria TojaMarco Losa
- Topics
- Pituitary Gland Disorders and Treatments (55 papers)Adrenal Hormones and Disorders (36 papers)Growth Hormone and Insulin-like Growth Factors (28 papers)
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Francesca Pecori Giraldi
72 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 1.7k
- Surgery 783
- Genetics 194
- Molecular Biology 154
- Epidemiology 144
Countries citing papers authored by Francesca Pecori Giraldi
This map shows the geographic impact of Francesca 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 Francesca 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 Francesca Pecori Giraldi more than expected).
Fields of papers citing papers by Francesca Pecori Giraldi
This network shows the impact of papers produced by Francesca 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 Francesca Pecori Giraldi. The network helps show where Francesca Pecori Giraldi may publish in the future.
Co-authorship network of co-authors of Francesca Pecori Giraldi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Pecori Giraldi. A scholar is included among the top collaborators of Francesca 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 Francesca Pecori Giraldi. Francesca 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 | 2 | |
| 2 | 11 | |
| 3 | 8 | |
| 4 | 27 | |
| 5 | 4 | |
| 6 | 44 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 115 | |
| 10 | 10 | |
| 11 | 51 | |
| 12 | 22 | |
| 13 | 20 | |
| 14 | 7 | |
| 15 | 26 | |
| 16 | 64 | |
| 17 | 50 | |
| 18 | 3 | |
| 19 | Modificazioni delle caratteristiche fisiche del polmone possono spiegare il miglioramento osservato dopo ultrafiltrazione nei pazienti con scompenso cardiaco moderato. | 1 |
| 20 | 20 |
About Francesca Pecori Giraldi
Francesca Pecori Giraldi is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Anatomy, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (55 papers), Adrenal Hormones and Disorders (36 papers) and Growth Hormone and Insulin-like Growth Factors (28 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Behavioral Neuroscience (81 citations) and Genetics (194 citations). Francesca Pecori Giraldi has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Francesco Cavagnini, Martina De Martin, Cecilia Invitti, Alberto Giacinto Ambrogio, Massimo Scacchi, Massimiliano Andrioli, Paola Maria Toja, Marco Losa, Salvatore Maria Corsello and A. Dubini. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Neurology and Scientific Reports.
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.