Maddalena Macedoni
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Genetics
- Cardiology and Cardiovascular Medicine
- Physiology
- Co-authors
- Gianvincenzo ZuccottiElisa GianiFrancesca RedaelliAlessandra BosettiAndrea ScaramuzzaTadej BattelinoChiara MameliNataša Bratina
- Topics
- Diabetes Management and Research (10 papers)Pancreatic function and diabetes (7 papers)Diabetes and associated disorders (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaDiabetologiaNutrients
- Partner nations
- ItalySloveniaUnited States
In The Last Decade
Maddalena Macedoni
19 papers receiving 282 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 160
- Surgery 97
- Genetics 87
- Cardiology and Cardiovascular Medicine 37
- Physiology 36
Countries citing papers authored by Maddalena Macedoni
This map shows the geographic impact of Maddalena Macedoni'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 Maddalena Macedoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maddalena Macedoni more than expected).
Fields of papers citing papers by Maddalena Macedoni
This network shows the impact of papers produced by Maddalena Macedoni. 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 Maddalena Macedoni. The network helps show where Maddalena Macedoni may publish in the future.
Co-authorship network of co-authors of Maddalena Macedoni
This figure shows the co-authorship network connecting the top 25 collaborators of Maddalena Macedoni. A scholar is included among the top collaborators of Maddalena Macedoni 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 Maddalena Macedoni. Maddalena Macedoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 10 | |
| 8 | 15 | |
| 9 | 27 | |
| 10 | 14 | |
| 11 | 16 | |
| 12 | 15 | |
| 13 | 63 | |
| 14 | 32 | |
| 15 | 18 | |
| 16 | 4 | |
| 17 | 12 | |
| 18 | 23 | |
| 19 | The optimal type of bolus following a pizza meal in children and adolescents with type 1 diabetes | 1 |
About Maddalena Macedoni
Maddalena Macedoni is a scholar working on Endocrinology, Diabetes and Metabolism, Dermatology and Periodontics, having authored 19 papers that have together received 290 indexed citations. Recurring topics across this work include Diabetes Management and Research (10 papers), Pancreatic function and diabetes (7 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (160 citations), Genetics (87 citations) and Ophthalmology (27 citations). Maddalena Macedoni has collaborated with scholars based in Italy, Slovenia and United States. Frequent co-authors include Gianvincenzo Zuccotti, Elisa Giani, Francesca Redaelli, Alessandra Bosetti, Andrea Scaramuzza, Tadej Battelino, Chiara Mameli, Nataša Bratina, Klemen Dovč and Torben Biester. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetologia and Nutrients.
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.