Ilaria Ciullo
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Co-authors
- Enrico V. AvvedimentoAntonio PorcelliniGianfranco FenziAntonio FelicielloGiulio BonavolontàCarlo TasciniFrancesco MenichettiAlessandro Leonildi
- Topics
- Antimicrobial Resistance in Staphylococcus (3 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Infective Endocarditis Diagnosis and Management (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Ilaria Ciullo
15 papers receiving 907 citations
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 320
- Molecular Biology 310
- Pathology and Forensic Medicine 207
- Cardiology and Cardiovascular Medicine 148
- Epidemiology 132
Countries citing papers authored by Ilaria Ciullo
This map shows the geographic impact of Ilaria Ciullo'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 Ilaria Ciullo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilaria Ciullo more than expected).
Fields of papers citing papers by Ilaria Ciullo
This network shows the impact of papers produced by Ilaria Ciullo. 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 Ilaria Ciullo. The network helps show where Ilaria Ciullo may publish in the future.
Co-authorship network of co-authors of Ilaria Ciullo
This figure shows the co-authorship network connecting the top 25 collaborators of Ilaria Ciullo. A scholar is included among the top collaborators of Ilaria Ciullo 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 Ilaria Ciullo. Ilaria Ciullo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 53 | |
| 3 | 103 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 19 | |
| 8 | 14 | |
| 9 | 57 | |
| 10 | 88 | |
| 11 | 17 | |
| 12 | 170 | |
| 13 | Somatic mutations in the VI transmembrane segment of the thyrotropin receptor constitutively activate cAMP signalling in thyroid hyperfunctioning adenomas. | 17 |
| 14 | 93 | |
| 15 | 240 |
About Ilaria Ciullo
Ilaria Ciullo is a scholar working on Molecular Medicine, Endocrinology and Infectious Diseases, having authored 15 papers that have together received 925 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (320 citations), Molecular Medicine (69 citations) and Pathology and Forensic Medicine (207 citations). Ilaria Ciullo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Enrico V. Avvedimento, Antonio Porcellini, Gianfranco Fenzi, Antonio Feliciello, Giulio Bonavolontà, Carlo Tascini, Francesco Menichetti, Alessandro Leonildi, Enrico Tagliaferri and Marina Di Domenico. Their work appears in journals such as The Lancet, Nature Medicine and The Journal of Clinical Endocrinology & Metabolism.
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.