F. Massara
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
- Thyroid Disorders and Treatments
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Growth Hormone and Insulin-like Growth Factors 28
- Pituitary Gland Disorders and Treatments 27
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- Receptor Mechanisms and Signaling 4
- Co-authors
- F. Camanni (44 shared papers)Gian Michele Molinatti (12 shared papers)Ezio Ghigo (13 shared papers)Eugenio E. Müller (11 shared papers)Vittorio Locatelli (5 shared papers)L Belforte (9 shared papers)Marcus Redaèlli (1 shared paper)E.E. Müller (3 shared papers)
In The Last Decade
F. Massara
60 papers receiving 950 citations
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 664
- Behavioral Neuroscience 71
- Endocrine and Autonomic Systems 110
- Reproductive Medicine 69
- Physiology 135
Countries citing papers authored by F. Massara
This map shows the geographic impact of F. Massara'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 F. Massara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Massara more than expected).
Fields of papers citing papers by F. Massara
This network shows the impact of papers produced by F. Massara. 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 F. Massara. The network helps show where F. Massara may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Massara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 137 | |
| 2 | 1986 | 76 | |
| 3 | Radioimmunoassay of human growth hormone. | 1970 | 69 |
| 4 | 1984 | 65 | |
| 5 | 1977 | 59 | |
| 6 | 1987 | 43 | |
| 7 | 1972 | 41 | |
| 8 | 1977 | 39 | |
| 9 | 1963 | 39 | |
| 10 | 1970 | 31 | |
| 11 | 1970 | 25 | |
| 12 | 1983 | 21 | |
| 13 | 1981 | 21 | |
| 14 | 1980 | 18 | |
| 15 | 1987 | 17 | |
| 16 | 1975 | 16 | |
| 17 | 1971 | 16 | |
| 18 | 1962 | 16 | |
| 19 | 1980 | 16 | |
| 20 | 1983 | 15 |
About F. Massara
F. Massara is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Physiology, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (28 papers), Pituitary Gland Disorders and Treatments (27 papers), Potassium and Related Disorders (8 papers), Adrenal and Paraganglionic Tumors (6 papers), Diet and metabolism studies (6 papers), Pharmacological Effects and Assays (5 papers), Electrolyte and hormonal disorders (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (664 citations), Behavioral Neuroscience (71 citations), Endocrine and Autonomic Systems (110 citations), Reproductive Medicine (69 citations) and Physiology (135 citations). F. Massara has collaborated with scholars based in Italy, Belarus and Japan. Frequent co-authors include F. Camanni, Gian Michele Molinatti, Ezio Ghigo, Eugenio E. Müller, Vittorio Locatelli, L Belforte, Marcus Redaèlli, E.E. Müller, Antonio Torsello and Enrico Mazza. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Hormone and Metabolic Research, Diabetologia and Acta Diabetologica.
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.