V. P. Lo Presti
- Endocrinology, Diabetes and Metabolism top 2%
- Pediatrics, Perinatology and Child Health top 5%
- Endocrine and Autonomic Systems top 5%
- Obstetrics and Gynecology top 5%
- Health, Toxicology and Mutagenesis
- Co-authors
- Francesco TrimarchiFrancesco VermiglioMariacarla MoletiMaria Antonia VioliMaria Grazia CastagnaA. ArtemisiaM FinocchiaroAlessandra Crisà
- Topics
- Thyroid Disorders and Treatments (9 papers)Thyroid Cancer Diagnosis and Treatment (8 papers)Neonatal Health and Biochemistry (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsPediatrics, Perinatology and Child Health
- Journals
- The Journal of Clinical Endocrinology & MetabolismClinical EndocrinologyEuropean Journal of Endocrinology
- Partner nations
- Italy
In The Last Decade
V. P. Lo Presti
12 papers receiving 745 citations
Peers
Comparison fields: 5 of 79
- Endocrinology, Diabetes and Metabolism 666
- Pediatrics, Perinatology and Child Health 344
- Endocrine and Autonomic Systems 122
- Obstetrics and Gynecology 98
- Health, Toxicology and Mutagenesis 65
Countries citing papers authored by V. P. Lo Presti
This map shows the geographic impact of V. P. Lo Presti'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. P. Lo Presti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. P. Lo Presti more than expected).
Fields of papers citing papers by V. P. Lo Presti
This network shows the impact of papers produced by V. P. Lo Presti. 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. P. Lo Presti. The network helps show where V. P. Lo Presti may publish in the future.
Co-authorship network of co-authors of V. P. Lo Presti
This figure shows the co-authorship network connecting the top 25 collaborators of V. P. Lo Presti. A scholar is included among the top collaborators of V. P. Lo Presti 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. P. Lo Presti. V. P. Lo Presti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 93 | |
| 3 | 342 | |
| 4 | 18 | |
| 5 | 49 | |
| 6 | 39 | |
| 7 | 15 | |
| 8 | 53 | |
| 9 | 31 | |
| 10 | 15 | |
| 11 | 71 | |
| 12 | 25 |
About V. P. Lo Presti
V. P. Lo Presti is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 12 papers that have together received 806 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (9 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Neonatal Health and Biochemistry (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (666 citations), Endocrine and Autonomic Systems (122 citations) and Pediatrics, Perinatology and Child Health (344 citations). V. P. Lo Presti has collaborated with scholars based in Italy. Frequent co-authors include Francesco Trimarchi, Francesco Vermiglio, Mariacarla Moleti, Maria Antonia Violi, Maria Grazia Castagna, A. Artemisia, M Finocchiaro, Alessandra Crisà, Giovanni Tortorella and Grazia Giorgianni. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and European Journal of 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.