Maria Alberiche
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Co-authors
- Michele MuggeoRiccardo C. BonadonnaGiovanni TargherEnzo BonoraM. ZenereFrancesca SaggianiFritz OberhollenzerStefan Kiechl
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Adipose Tissue and Metabolism (4 papers)Liver Disease Diagnosis and Treatment (3 papers)
In The Last Decade
Maria Alberiche
11 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 1.5k
- Epidemiology 1.0k
- Physiology 766
- Cardiology and Cardiovascular Medicine 646
- Molecular Biology 609
Countries citing papers authored by Maria Alberiche
This map shows the geographic impact of Maria Alberiche'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 Maria Alberiche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Alberiche more than expected).
Fields of papers citing papers by Maria Alberiche
This network shows the impact of papers produced by Maria Alberiche. 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 Maria Alberiche. The network helps show where Maria Alberiche may publish in the future.
Co-authorship network of co-authors of Maria Alberiche
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Alberiche. A scholar is included among the top collaborators of Maria Alberiche 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 Maria Alberiche. Maria Alberiche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 102 | |
| 4 | 45 | |
| 5 | 45 | |
| 6 | 10 | |
| 7 | Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity.breakdown → | 2064 |
| 8 | 10 | |
| 9 | Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.breakdown → | 686 |
| 10 | 6 | |
| 11 | 151 |
About Maria Alberiche
Maria Alberiche is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Reproductive Medicine, having authored 11 papers that have together received 3.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Adipose Tissue and Metabolism (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Physiology (766 citations) and Epidemiology (1.0k citations). Maria Alberiche has collaborated with scholars based in Italy, Spain and India. Frequent co-authors include Michele Muggeo, Riccardo C. Bonadonna, Giovanni Targher, Enzo Bonora, M. Zenere, Francesca Saggiani, Fritz Oberhollenzer, Stefan Kiechl, Johann Willeit and Georg Egger. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.
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.