Mara Brizi
- Epidemiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Hepatology top 1%
- Physiology top 5%
- Molecular Biology
- Co-authors
- Giulio MarchesiniGiampaolo BianchiElisabetta BugianesiNazario MelchiondaGabriele ForlaniArthur J. McCulloughMarco LenziStefania Natale
- Topics
- Liver Disease Diagnosis and Treatment (12 papers)Liver Disease and Transplantation (8 papers)Clinical Nutrition and Gastroenterology (3 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
Mara Brizi
15 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Epidemiology 3.0k
- Endocrinology, Diabetes and Metabolism 1.8k
- Hepatology 740
- Physiology 621
- Molecular Biology 591
Countries citing papers authored by Mara Brizi
This map shows the geographic impact of Mara Brizi'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 Mara Brizi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Brizi more than expected).
Fields of papers citing papers by Mara Brizi
This network shows the impact of papers produced by Mara Brizi. 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 Mara Brizi. The network helps show where Mara Brizi may publish in the future.
Co-authorship network of co-authors of Mara Brizi
This figure shows the co-authorship network connecting the top 25 collaborators of Mara Brizi. A scholar is included among the top collaborators of Mara Brizi 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 Mara Brizi. Mara Brizi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | Nonalcoholic Fatty Liver Diseasebreakdown → | 2092 |
| 6 | 29 | |
| 7 | 27 | |
| 8 | Nutritional treatment with branched-chain amino acids in advanced liver cirrhosis. | 28 |
| 9 | Association of nonalcoholic fatty liver disease with insulin resistancebreakdown → | 1291 |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 132 | |
| 14 | The galactose elimination capacity test: a study of the technique based on the analysis of 868 measurements. | 12 |
| 15 | 3 |
About Mara Brizi
Mara Brizi is a scholar working on Hepatology, Epidemiology and Clinical Biochemistry, having authored 15 papers that have together received 3.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Liver Disease and Transplantation (8 papers) and Clinical Nutrition and Gastroenterology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Hepatology (740 citations) and Epidemiology (3.0k citations). Mara Brizi has collaborated with scholars based in Italy and United States. Frequent co-authors include Giulio Marchesini, Giampaolo Bianchi, Elisabetta Bugianesi, Nazario Melchionda, Gabriele Forlani, Arthur J. McCullough, Marco Lenzi, Stefania Natale, Sara Tomassetti and Antonio Maria Morselli‐Labate. Their work appears in journals such as Hepatology, Diabetes and The American Journal of Medicine.
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.