E Fugassa
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Reproductive Medicine top 2%
- Genetics top 10%
- Epidemiology
- Co-authors
- S. PalmeroAdriana VociIlaria DemoriG. GalloMaria Vittoria PratiMaria Laura De MarchisGloria GalloPatrizia De Marco
- Topics
- Growth Hormone and Insulin-like Growth Factors (23 papers)Liver Disease Diagnosis and Treatment (14 papers)Sperm and Testicular Function (11 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
E Fugassa
65 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 453
- Molecular Biology 408
- Reproductive Medicine 282
- Genetics 196
- Epidemiology 139
Countries citing papers authored by E Fugassa
This map shows the geographic impact of E Fugassa'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 Fugassa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Fugassa more than expected).
Fields of papers citing papers by E Fugassa
This network shows the impact of papers produced by E Fugassa. 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 Fugassa. The network helps show where E Fugassa may publish in the future.
Co-authorship network of co-authors of E Fugassa
This figure shows the co-authorship network connecting the top 25 collaborators of E Fugassa. A scholar is included among the top collaborators of E Fugassa 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 E Fugassa. E Fugassa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 62 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | Triodothyronine (T3)increases insulin-like growth factor binding protein-2 (IGFBP-2) mRNA levels in cultured hepatocytes from hypothyroid rat | 6 |
| 9 | 17 | |
| 10 | 16 | |
| 11 | 36 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 31 | |
| 15 | 22 | |
| 16 | Relationship between DNA topoisomerase I activity and DNA synthesis in cultured hepatocytes: effects of orotic acid. | 1 |
| 17 | 17 | |
| 18 | 11 | |
| 19 | 49 | |
| 20 | 2 |
About E Fugassa
E Fugassa is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Hepatology, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (23 papers), Liver Disease Diagnosis and Treatment (14 papers) and Sperm and Testicular Function (11 papers). The work is most often cited by research in Reproductive Medicine (282 citations), Endocrinology, Diabetes and Metabolism (453 citations) and Hepatology (64 citations). E Fugassa has collaborated with scholars based in Italy and United States. Frequent co-authors include S. Palmero, Adriana Voci, Ilaria Demori, G. Gallo, Maria Vittoria Prati, Maria Laura De Marchis, Gloria Gallo, Patrizia De Marco, Bruno Burlando and Francesco Minuto. Their work appears in journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and 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.