Filippo De Luca
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 5%
- Molecular Biology
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Małgorzata WaśniewskaTommaso AversaMariacarolina SalernoMariella ValenziseAndrea CorriasDonatella CapalboFortunato LombardoTeresa Arrigo
- Topics
- Thyroid Disorders and Treatments (41 papers)Growth Hormone and Insulin-like Growth Factors (24 papers)Thyroid Cancer Diagnosis and Treatment (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismScience Translational Medicine
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Filippo De Luca
103 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 122
- Endocrinology, Diabetes and Metabolism 1.4k
- Genetics 672
- Molecular Biology 463
- Surgery 359
- Pulmonary and Respiratory Medicine 275
Countries citing papers authored by Filippo De Luca
This map shows the geographic impact of Filippo De Luca'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 Filippo De Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo De Luca more than expected).
Fields of papers citing papers by Filippo De Luca
This network shows the impact of papers produced by Filippo De Luca. 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 Filippo De Luca. The network helps show where Filippo De Luca may publish in the future.
Co-authorship network of co-authors of Filippo De Luca
This figure shows the co-authorship network connecting the top 25 collaborators of Filippo De Luca. A scholar is included among the top collaborators of Filippo De Luca 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 Filippo De Luca. Filippo De Luca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 8 | |
| 3 | 29 | |
| 4 | 1 | |
| 5 | 60 | |
| 6 | 32 | |
| 7 | 44 | |
| 8 | 23 | |
| 9 | 22 | |
| 10 | 7 | |
| 11 | 48 | |
| 12 | 73 | |
| 13 | 9 | |
| 14 | Gynecomastia disclosing diagnosis of Leydig cell tumour in a man with thalassemia, secondary hypogonadism and testis microlithiasis. | 3 |
| 15 | 22 | |
| 16 | 38 | |
| 17 | 19 | |
| 18 | 40 | |
| 19 | 11 | |
| 20 | 8 |
About Filippo De Luca
Filippo De Luca is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Reproductive Medicine, having authored 104 papers that have together received 2.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (41 papers), Growth Hormone and Insulin-like Growth Factors (24 papers) and Thyroid Cancer Diagnosis and Treatment (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Endocrine and Autonomic Systems (174 citations) and Genetics (672 citations). Filippo De Luca has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Małgorzata Waśniewska, Tommaso Aversa, Mariacarolina Salerno, Mariella Valenzise, Andrea Corrias, Donatella Capalbo, Fortunato Lombardo, Teresa Arrigo, Maria Francesca Messina and Alessandro Mussa. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Science Translational Medicine.
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.