G. M. Molinatti
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology
- Neurology top 10%
- Molecular Biology
- Neurology top 10%
- Topics
- Pituitary Gland Disorders and Treatments (8 papers)Growth Hormone and Insulin-like Growth Factors (6 papers)Adrenal and Paraganglionic Tumors (4 papers)
In The Last Decade
G. M. Molinatti
31 papers receiving 587 citations
Peers
Comparison fields: 5 of 80
- Endocrinology, Diabetes and Metabolism 210
- Physiology 128
- Neurology 113
- Molecular Biology 104
- Neurology 96
Countries citing papers authored by G. M. Molinatti
This map shows the geographic impact of G. M. Molinatti'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 G. M. Molinatti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. M. Molinatti more than expected).
Fields of papers citing papers by G. M. Molinatti
This network shows the impact of papers produced by G. M. Molinatti. 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 G. M. Molinatti. The network helps show where G. M. Molinatti may publish in the future.
Co-authorship network of co-authors of G. M. Molinatti
This figure shows the co-authorship network connecting the top 25 collaborators of G. M. Molinatti. A scholar is included among the top collaborators of G. M. Molinatti 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 G. M. Molinatti. G. M. Molinatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 172 | |
| 3 | Hypertension and oedema caused by cortexone hyperproduction and cured by monolateral adrenalectomy. Case report. | 1 |
| 4 | 86 | |
| 5 | 7 | |
| 6 | 16 | |
| 7 | 32 | |
| 8 | Endothelial cell function in diabetic microangiopathy : problems in methodology and clinical aspects | 11 |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 85 | |
| 13 | Glucagon stimulation of potassium efflux from the liver | 1 |
| 14 | Approach to the diagnosis of hyperprolactinemic states: the nomifensine and domperidone tests. | 1 |
| 15 | 5 | |
| 16 | 2 | |
| 17 | [Indications and limitations of the use of ACTH in clinical practice]. | 1 |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 12 |
About G. M. Molinatti
G. M. Molinatti is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Occupational Therapy, having authored 32 papers that have together received 632 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Adrenal and Paraganglionic Tumors (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (210 citations), Neurology (96 citations) and Clinical Biochemistry (72 citations). G. M. Molinatti has collaborated with scholars based in Italy, Canada and Czechia. Frequent co-authors include Édith Hamel, Z. Cohen, Massimo Porta, F. Camanni, F. Massara, Elena Beltramo, L Belforte, A. Sciolla, Giancarlo Isaia and Eugenio E. Müller. Their work appears in journals such as Cancer, Diabetologia and Journal of Cerebral Blood Flow & 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.