Mauro Doga
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 10%
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Orthopedics and Sports Medicine top 5%
- Co-authors
- Andrea GiustinaGherardo MazziottiMonica GolaStefania BonadonnaLuigi di FilippoStefano FraraTatiana ManciniAnna Maria Formenti
- Topics
- Growth Hormone and Insulin-like Growth Factors (42 papers)Pituitary Gland Disorders and Treatments (35 papers)Adrenal Hormones and Disorders (12 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismOrthopedics and Sports MedicinePathology and Forensic Medicine
- Journals
- The Journal of Clinical Endocrinology & MetabolismAnnals of OncologyAmerican Journal of Physiology-Endocrinology and Metabolism
- Partner nations
- ItalyUnited StatesSan Marino
In The Last Decade
Mauro Doga
68 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 1.2k
- Surgery 351
- Pathology and Forensic Medicine 236
- Molecular Biology 232
- Orthopedics and Sports Medicine 193
Countries citing papers authored by Mauro Doga
This map shows the geographic impact of Mauro Doga'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 Mauro Doga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Doga more than expected).
Fields of papers citing papers by Mauro Doga
This network shows the impact of papers produced by Mauro Doga. 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 Mauro Doga. The network helps show where Mauro Doga may publish in the future.
Co-authorship network of co-authors of Mauro Doga
This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Doga. A scholar is included among the top collaborators of Mauro Doga 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 Mauro Doga. Mauro Doga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 17 | |
| 4 | 15 | |
| 5 | 18 | |
| 6 | 59 | |
| 7 | 18 | |
| 8 | 21 | |
| 9 | 64 | |
| 10 | 71 | |
| 11 | 38 | |
| 12 | Diagnosis and treatment of acromegaly and its complications: consensus guidelines. | 12 |
| 13 | 105 | |
| 14 | 18 | |
| 15 | 7 | |
| 16 | 16 | |
| 17 | 18 | |
| 18 | 38 | |
| 19 | 39 | |
| 20 | 8 |
About Mauro Doga
Mauro Doga is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Orthopedics and Sports Medicine, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (42 papers), Pituitary Gland Disorders and Treatments (35 papers) and Adrenal Hormones and Disorders (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Orthopedics and Sports Medicine (193 citations) and Pathology and Forensic Medicine (236 citations). Mauro Doga has collaborated with scholars based in Italy, United States and San Marino. Frequent co-authors include Andrea Giustina, Gherardo Mazziotti, Monica Gola, Stefania Bonadonna, Luigi di Filippo, Stefano Frara, Tatiana Mancini, Andrea Giustina, Anna Maria Formenti and Pier Paolo Vescovi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Oncology and American Journal of Physiology-Endocrinology and 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.