Daniela Gaia
Impact in
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- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Thyroid Disorders and Treatments
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- Neuroendocrine Tumor Research Advances
Papers in
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- Pituitary Gland Disorders and Treatments 8
- Growth Hormone and Insulin-like Growth Factors 5
- Menopause: Health Impacts and Treatments 1
- Adrenal Hormones and Disorders 1
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- Neuroendocrine Tumor Research Advances 3
- Co-authors
- E. Ciccarelli (8 shared papers)F. Camanni (7 shared papers)Paola Razzore (5 shared papers)Roberto Baldelli (4 shared papers)Silvia Grottoli (4 shared papers)Marco Losa (2 shared papers)Mauro Papotti (2 shared papers)Gaetano Lombardi (3 shared papers)
- Journals
- Clinical Endocrinology (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Growth Hormone & IGF Research (1 paper)European Journal of Endocrinology (1 paper)Journal of Endocrinological Investigation (3 papers)
- Partner nations
- ItalyHungaryUnited Kingdom
In The Last Decade
Daniela Gaia
11 papers receiving 432 citations
Peers
Comparison fields: 5 of 34
- Endocrinology, Diabetes and Metabolism 372
- Epidemiology 106
- Neurology 30
- Genetics 21
- Surgery 74
Countries citing papers authored by Daniela Gaia
This map shows the geographic impact of Daniela Gaia'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 Daniela Gaia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gaia more than expected).
Fields of papers citing papers by Daniela Gaia
This network shows the impact of papers produced by Daniela Gaia. 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 Daniela Gaia. The network helps show where Daniela Gaia may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Gaia, 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 | 2006 | 95 | |
| 2 | 2000 | 89 | |
| 3 | 1997 | 57 | |
| 4 | 2001 | 57 | |
| 5 | 2003 | 51 | |
| 6 | 2003 | 24 | |
| 7 | 2003 | 21 | |
| 8 | 1999 | 16 | |
| 9 | 2003 | 14 | |
| 10 | Hyperprolactinaemia and prolactin binding in benign intracranial tumours. | 2001 | 13 |
| 11 | 2002 | 3 |
About Daniela Gaia
Daniela Gaia is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Pathology and Forensic Medicine, Neurology and Behavioral Neuroscience, having authored 11 papers that have together received 440 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Neuroendocrine Tumor Research Advances (3 papers), Neuroblastoma Research and Treatments (1 paper), Menopause: Health Impacts and Treatments (1 paper), Adrenal Hormones and Disorders (1 paper), Ophthalmology and Eye Disorders (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (372 citations), Epidemiology (106 citations), Neurology (30 citations), Genetics (21 citations) and Surgery (74 citations). Daniela Gaia has collaborated with scholars based in Italy, Hungary and United Kingdom. Frequent co-authors include E. Ciccarelli, F. Camanni, Paola Razzore, Roberto Baldelli, Silvia Grottoli, Marco Losa, Mauro Papotti, Gaetano Lombardi, Paolo Marzullo and Marie‐Lise Jaffrain‐Rea. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Growth Hormone & IGF Research, European Journal of Endocrinology and Journal of Endocrinological Investigation.
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.