Mario Luca Morieri
- Endocrinology, Diabetes and Metabolism top 2%
- Infectious Diseases top 5%
- Molecular Biology
- Epidemiology
- Genetics top 10%
- Co-authors
- Gian Paolo FadiniAngelo AvogaroEnrico LongatoGiovanni ZulianiAngelina PassaroJuana María SanzEdoardo Dalla NoraBenedetta Maria Bonora
- Topics
- Diabetes Treatment and Management (27 papers)Diabetes Management and Research (13 papers)Metabolism, Diabetes, and Cancer (12 papers)
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Mario Luca Morieri
62 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Endocrinology, Diabetes and Metabolism 547
- Infectious Diseases 361
- Molecular Biology 258
- Epidemiology 230
- Genetics 217
Countries citing papers authored by Mario Luca Morieri
This map shows the geographic impact of Mario Luca Morieri'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 Mario Luca Morieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Luca Morieri more than expected).
Fields of papers citing papers by Mario Luca Morieri
This network shows the impact of papers produced by Mario Luca Morieri. 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 Mario Luca Morieri. The network helps show where Mario Luca Morieri may publish in the future.
Co-authorship network of co-authors of Mario Luca Morieri
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Luca Morieri. A scholar is included among the top collaborators of Mario Luca Morieri 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 Mario Luca Morieri. Mario Luca Morieri 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 | 7 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 18 | |
| 9 | 14 | |
| 10 | 27 | |
| 11 | Prevalence and impact of diabetes among people infected with SARS-CoV-2breakdown → | 358 |
| 12 | 29 | |
| 13 | 21 | |
| 14 | 12 | |
| 15 | 46 | |
| 16 | 16 | |
| 17 | 1 | |
| 18 | 26 | |
| 19 | 35 | |
| 20 | 1 |
About Mario Luca Morieri
Mario Luca Morieri is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Behavioral Neuroscience, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (27 papers), Diabetes Management and Research (13 papers) and Metabolism, Diabetes, and Cancer (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (547 citations), Infectious Diseases (361 citations) and Neurology (160 citations). Mario Luca Morieri has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Gian Paolo Fadini, Angelo Avogaro, Enrico Longato, Giovanni Zuliani, Angelina Passaro, Juana María Sanz, Edoardo Dalla Nora, Benedetta Maria Bonora, Cristina Bosi and R. Fellin. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.