E. Imperiale
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
- Thyroid Disorders and Treatments
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 14
- Pituitary Gland Disorders and Treatments 8
- Thyroid Disorders and Treatments 2
-
- Apelin-related biomedical research 2
- Co-authors
- F. Camanni (17 shared papers)Ezio Ghigo (16 shared papers)Enrico Mazza (15 shared papers)J. Bellone (11 shared papers)Procopio Massimo (9 shared papers)S. Goffi (9 shared papers)Emanuela Arvat (10 shared papers)Eugenio E. Müller (7 shared papers)
- Journals
- Clinical Endocrinology (2 papers)Metabolism (2 papers)Acta Paediatrica (2 papers)Neuroendocrinology (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)
- Partner nations
- ItalyBelarusUnited States
In The Last Decade
E. Imperiale
17 papers receiving 356 citations
Peers
Comparison fields: 5 of 51
- Endocrinology, Diabetes and Metabolism 306
- Endocrine and Autonomic Systems 74
- Behavioral Neuroscience 16
- Physiology 78
- Reproductive Medicine 18
Countries citing papers authored by E. Imperiale
This map shows the geographic impact of E. Imperiale'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 E. Imperiale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Imperiale more than expected).
Fields of papers citing papers by E. Imperiale
This network shows the impact of papers produced by E. Imperiale. 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 E. Imperiale. The network helps show where E. Imperiale may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Imperiale, 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 | 1990 | 76 | |
| 2 | 1987 | 45 | |
| 3 | 1989 | 42 | |
| 4 | 1990 | 39 | |
| 5 | 1989 | 39 | |
| 6 | 1994 | 30 | |
| 7 | 1987 | 25 | |
| 8 | 1995 | 25 | |
| 9 | 1990 | 23 | |
| 10 | 1992 | 18 | |
| 11 | 1990 | 8 | |
| 12 | 1989 | 7 | |
| 13 | 1989 | 4 | |
| 14 | 1995 | 3 | |
| 15 | 1988 | 3 | |
| 16 | 2008 | 1 | |
| 17 | 1990 | 1 | |
| 18 | 2008 | 0 |
About E. Imperiale
E. Imperiale is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Physiology, Surgery and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 389 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Pituitary Gland Disorders and Treatments (8 papers), Diet and metabolism studies (3 papers), Apelin-related biomedical research (2 papers), Regulation of Appetite and Obesity (2 papers), Thyroid Disorders and Treatments (2 papers), Pancreatic function and diabetes (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (306 citations), Endocrine and Autonomic Systems (74 citations), Behavioral Neuroscience (16 citations), Physiology (78 citations) and Reproductive Medicine (18 citations). E. Imperiale has collaborated with scholars based in Italy, Belarus and United States. Frequent co-authors include F. Camanni, Ezio Ghigo, Enrico Mazza, J. Bellone, Procopio Massimo, S. Goffi, Emanuela Arvat, Eugenio E. Müller, Roberto Lala and Carlo De Sanctis. Their work appears in journals such as Clinical Endocrinology, Metabolism, Acta Paediatrica, Neuroendocrinology and The Journal of Clinical Endocrinology & 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.