Biagio Ungaro
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Surgery
- Cardiology and Cardiovascular Medicine
- Co-authors
- Luigi SaccàMarco CicalaCarlo VigoritoBruno TrimarcoGaetano CorsoStefano FedericoBruno CianciarusoMario Usberti
- Topics
- Metabolism, Diabetes, and Cancer (5 papers)Electrolyte and hormonal disorders (4 papers)Liver Disease Diagnosis and Treatment (3 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Clinical Endocrinology & MetabolismKidney International
- Partner nations
- ItalyUnited States
In The Last Decade
Biagio Ungaro
25 papers receiving 503 citations
Peers
Comparison fields: 5 of 72
- Physiology 154
- Endocrinology, Diabetes and Metabolism 148
- Molecular Biology 144
- Surgery 125
- Cardiology and Cardiovascular Medicine 109
Countries citing papers authored by Biagio Ungaro
This map shows the geographic impact of Biagio Ungaro'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 Biagio Ungaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biagio Ungaro more than expected).
Fields of papers citing papers by Biagio Ungaro
This network shows the impact of papers produced by Biagio Ungaro. 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 Biagio Ungaro. The network helps show where Biagio Ungaro may publish in the future.
Co-authorship network of co-authors of Biagio Ungaro
This figure shows the co-authorship network connecting the top 25 collaborators of Biagio Ungaro. A scholar is included among the top collaborators of Biagio Ungaro 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 Biagio Ungaro. Biagio Ungaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 25 | |
| 3 | Exercise increases soluble adhesion molecules ICAM-1 and VCAM-1 in patients with intermittent claudication. | 49 |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 36 | |
| 10 | 69 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 46 | |
| 14 | 63 | |
| 15 | Influence of acetylsalicylic acid on glucose turnover in normal man. | 16 |
| 16 | 9 | |
| 17 | 10 | |
| 18 | 36 | |
| 19 | 5 | |
| 20 | 17 |
About Biagio Ungaro
Biagio Ungaro is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Behavioral Neuroscience, having authored 25 papers that have together received 549 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Electrolyte and hormonal disorders (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Nephrology (74 citations), Endocrinology, Diabetes and Metabolism (148 citations) and Physiology (154 citations). Biagio Ungaro has collaborated with scholars based in Italy and United States. Frequent co-authors include Luigi Saccà, Marco Cicala, Carlo Vigorito, Bruno Trimarco, Gaetano Corso, Stefano Federico, Bruno Cianciaruso, Mario Usberti, Maurizio De Caterina and F. Scopacasa. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Kidney International.
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.