R. Scacchi
- Physiology top 5%
- Genetics top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Co-authors
- Rosa Maria CorboGiuseppe GambinaMaria Pia RuggeriElisabetta BroggioGian Franco De StefanoOlga RickardsLaura UlizziGiuseppe Moretto
- Topics
- Alzheimer's disease research and treatments (11 papers)Estrogen and related hormone effects (9 papers)Lipoproteins and Cardiovascular Health (8 papers)
- Journals
- The LancetPLoS ONEBrain Research
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
R. Scacchi
78 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 119
- Physiology 563
- Genetics 552
- Molecular Biology 451
- Endocrinology, Diabetes and Metabolism 399
- Surgery 320
Countries citing papers authored by R. Scacchi
This map shows the geographic impact of R. Scacchi'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 R. Scacchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Scacchi more than expected).
Fields of papers citing papers by R. Scacchi
This network shows the impact of papers produced by R. Scacchi. 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 R. Scacchi. The network helps show where R. Scacchi may publish in the future.
Co-authorship network of co-authors of R. Scacchi
This figure shows the co-authorship network connecting the top 25 collaborators of R. Scacchi. A scholar is included among the top collaborators of R. Scacchi 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 R. Scacchi. R. Scacchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 36 | |
| 3 | 31 | |
| 4 | An analysis of peroxisome proliferator-activated receptor gamma (PPAR-gamma2) Pro12Ala polymorphism and prevalence of type 2 diabetes mellitus (T2DM) in the world population in relation to dietary habits | 1 |
| 5 | 22 | |
| 6 | 35 | |
| 7 | 21 | |
| 8 | Apolipoprotein B, apolipoprotein E, and angiotensin-converting enzyme polymorphisms in 2 Italian populations at different risk for coronary artery disease and comparison of allele frequencies among European populations. | 24 |
| 9 | 463 | |
| 10 | 30 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 9 |
About R. Scacchi
R. Scacchi is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Physiology, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Estrogen and related hormone effects (9 papers) and Lipoproteins and Cardiovascular Health (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (399 citations), Aging (39 citations) and Physiology (563 citations). R. Scacchi has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Rosa Maria Corbo, Giuseppe Gambina, Maria Pia Ruggeri, Elisabetta Broggio, Gian Franco De Stefano, Olga Rickards, Laura Ulizzi, Giuseppe Moretto, Elide Mantuano and R. Palmarino. Their work appears in journals such as The Lancet, PLoS ONE and Brain Research.
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.