V De Filippis
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics
- Molecular Biology
- Pediatrics, Perinatology and Child Health
- Surgery
- Co-authors
- A IannacconeVittorio TassiDonato CivitarealeDaniela CordaLeopoldo ZelanteBruno DallapiccolaGianni PerlaRosa Di Paola
- Topics
- Thyroid Disorders and Treatments (12 papers)Growth Hormone and Insulin-like Growth Factors (5 papers)Thyroid Cancer Diagnosis and Treatment (3 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
V De Filippis
25 papers receiving 281 citations
Peers
Comparison fields: 5 of 66
- Endocrinology, Diabetes and Metabolism 175
- Genetics 124
- Molecular Biology 114
- Pediatrics, Perinatology and Child Health 39
- Surgery 35
Countries citing papers authored by V De Filippis
This map shows the geographic impact of V De Filippis'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 V De Filippis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V De Filippis more than expected).
Fields of papers citing papers by V De Filippis
This network shows the impact of papers produced by V De Filippis. 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 V De Filippis. The network helps show where V De Filippis may publish in the future.
Co-authorship network of co-authors of V De Filippis
This figure shows the co-authorship network connecting the top 25 collaborators of V De Filippis. A scholar is included among the top collaborators of V De Filippis 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 V De Filippis. V De Filippis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 50 | |
| 5 | 20 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 50 | |
| 15 | 17 | |
| 16 | 2 | |
| 17 | Serum autoantibodies and thyroid lymphocytic infiltration in endemic goitre. | 7 |
| 18 | [Congenital deficiency of thyroxine binding globulin (TBG). Study of 3 families]. | 1 |
| 19 | An Outbreak of Q Fever In a Community in the Province of Várese (Italy). | 1 |
| 20 | 1 |
About V De Filippis
V De Filippis is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Music, having authored 26 papers that have together received 318 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (12 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (175 citations), Genetics (124 citations) and Endocrine and Autonomic Systems (14 citations). V De Filippis has collaborated with scholars based in Italy and United States. Frequent co-authors include A Iannaccone, Vittorio Tassi, Donato Civitareale, Daniela Corda, Leopoldo Zelante, Bruno Dallapiccola, Gianni Perla, Rosa Di Paola, Angelo Notarangelo and Carmela Cisternino. Their work appears in journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Human Genetics.
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.