Enio Martino
- Endocrinology, Diabetes and Metabolism top 0.1%
- Molecular Biology top 5%
- Pathology and Forensic Medicine top 1%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Fausto BogazziLuigi BartalenaAldo PincheraLewis E. BravermanLuca ManettiF. Aghini-LombardiL. GrassoMaria Laura Tanda
- Topics
- Thyroid Disorders and Treatments (64 papers)Growth Hormone and Insulin-like Growth Factors (48 papers)Pituitary Gland Disorders and Treatments (34 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPathology and Forensic MedicineCardiology and Cardiovascular Medicine
- Journals
- New England Journal of MedicineJournal of Clinical InvestigationAnnals of Internal Medicine
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Enio Martino
134 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 140
- Endocrinology, Diabetes and Metabolism 4.6k
- Molecular Biology 1.8k
- Pathology and Forensic Medicine 846
- Surgery 835
- Cardiology and Cardiovascular Medicine 749
Countries citing papers authored by Enio Martino
This map shows the geographic impact of Enio Martino'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 Enio Martino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enio Martino more than expected).
Fields of papers citing papers by Enio Martino
This network shows the impact of papers produced by Enio Martino. 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 Enio Martino. The network helps show where Enio Martino may publish in the future.
Co-authorship network of co-authors of Enio Martino
This figure shows the co-authorship network connecting the top 25 collaborators of Enio Martino. A scholar is included among the top collaborators of Enio Martino 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 Enio Martino. Enio Martino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 22 | |
| 4 | 24 | |
| 5 | Amiodarone-induced thyrotoxicosis in patients with multinodular goiter: type 1 or type 2 AIT? | 2 |
| 6 | 57 | |
| 7 | 47 | |
| 8 | 2 | |
| 9 | 30 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 30 | |
| 13 | 50 | |
| 14 | 1 | |
| 15 | 24 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 26 | |
| 19 | 85 | |
| 20 | 10 |
About Enio Martino
Enio Martino is a scholar working on Endocrinology, Diabetes and Metabolism, Anatomy and Molecular Biology, having authored 134 papers that have together received 6.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (64 papers), Growth Hormone and Insulin-like Growth Factors (48 papers) and Pituitary Gland Disorders and Treatments (34 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.6k citations), Pathology and Forensic Medicine (846 citations) and Cardiology and Cardiovascular Medicine (749 citations). Enio Martino has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Fausto Bogazzi, Luigi Bartalena, Aldo Pinchera, Lewis E. Braverman, Luca Manetti, F. Aghini-Lombardi, L. Grasso, Maria Laura Tanda, Sandra Brogioni and Paolo Vitti. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Annals of Internal 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.