Stefania Mariani
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 10%
- Molecular Biology
- Infectious Diseases top 5%
- Co-authors
- Lucio GnessiCarla LubranoSabrina BascianiMikiko WatanabeRenata RisiGiovanni SperaAndrea LenziRossella Tozzi
- Topics
- Diet and metabolism studies (22 papers)Adipose Tissue and Metabolism (11 papers)Cardiovascular Disease and Adiposity (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEEndocrine Reviews
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Stefania Mariani
71 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Physiology 1.1k
- Endocrinology, Diabetes and Metabolism 532
- Epidemiology 428
- Molecular Biology 376
- Infectious Diseases 344
Countries citing papers authored by Stefania Mariani
This map shows the geographic impact of Stefania Mariani'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 Stefania Mariani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Mariani more than expected).
Fields of papers citing papers by Stefania Mariani
This network shows the impact of papers produced by Stefania Mariani. 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 Stefania Mariani. The network helps show where Stefania Mariani may publish in the future.
Co-authorship network of co-authors of Stefania Mariani
This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Mariani. A scholar is included among the top collaborators of Stefania Mariani 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 Stefania Mariani. Stefania Mariani 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 | 1 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 26 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 29 | |
| 10 | Central obesity, smoking habit, and hypertension are associated with lower antibody titres in response to COVID‐19 mRNA vaccinebreakdown → | 190 |
| 11 | 2 | |
| 12 | 23 | |
| 13 | 28 | |
| 14 | 23 | |
| 15 | 33 | |
| 16 | 29 | |
| 17 | 69 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 15 |
About Stefania Mariani
Stefania Mariani is a scholar working on Geriatrics and Gerontology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 73 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diet and metabolism studies (22 papers), Adipose Tissue and Metabolism (11 papers) and Cardiovascular Disease and Adiposity (8 papers). The work is most often cited by research in Physiology (1.1k citations), Geriatrics and Gerontology (150 citations) and Endocrinology, Diabetes and Metabolism (532 citations). Stefania Mariani has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Lucio Gnessi, Carla Lubrano, Sabrina Basciani, Mikiko Watanabe, Renata Risi, Giovanni Spera, Andrea Lenzi, Rossella Tozzi, Dario Tuccinardi and Dario Tuccinardi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Endocrine Reviews.
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.