Mauro Doga
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- Growth Hormone and Insulin-like Growth Factors 42
- Pituitary Gland Disorders and Treatments 35
- Adrenal Hormones and Disorders 12
- Behavioral Neuroscience top 10%
- Neurology top 10%
- Long-Term Effects of COVID-19 6
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- Bone health and treatments 7
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- Neuropeptides and Animal Physiology 7
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- Diet and metabolism studies 6
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- COVID-19 Clinical Research Studies 5
- Co-authors
- Andrea GiustinaGherardo MazziottiMonica GolaStefania BonadonnaLuigi di FilippoStefano FraraTatiana ManciniAnna Maria Formenti
- Cited by
- Endocrinology, Diabetes and MetabolismOrthopedics and Sports MedicinePathology and Forensic Medicine
- Journals
- Pituitary (8 papers)The Journal of Clinical Endocrinology & Metabolism (8 papers)Metabolism (7 papers)
- 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
- Orthopedics and Sports Medicine 193
- Pathology and Forensic Medicine 236
- Behavioral Neuroscience 42
- Neurology 174
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
The 25 scholars most cited alongside Mauro Doga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 17 | |
| 4 | 2018 | 15 | |
| 5 | 2017 | 18 | |
| 6 | 2015 | 59 | |
| 7 | 2014 | 18 | |
| 8 | 2014 | 21 | |
| 9 | 2011 | 64 | |
| 10 | 2009 | 71 | |
| 11 | 2006 | 38 | |
| 12 | Diagnosis and treatment of acromegaly and its complications: consensus guidelines. | 2005 | 12 |
| 13 | 2002 | 105 | |
| 14 | 2002 | 18 | |
| 15 | 1993 | 7 | |
| 16 | 1992 | 16 | |
| 17 | 1991 | 18 | |
| 18 | 1990 | 38 | |
| 19 | 1990 | 39 | |
| 20 | 1989 | 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), Adrenal Hormones and Disorders (12 papers), Bone health and treatments (7 papers), Neuropeptides and Animal Physiology (7 papers), Diet and metabolism studies (6 papers), Long-Term Effects of COVID-19 (6 papers) and COVID-19 Clinical Research Studies (5 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 Pituitary, The Journal of Clinical Endocrinology & Metabolism, Metabolism, Hormone and Metabolic Research and Clinical 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.