R. Scacchi

76 papers receiving 1.9k citations

Peers

R. Scacchi
Comparison fields: 5 of 117
  • Aging 38
  • Endocrinology, Diabetes and Metabolism 324
  • Physiology 454
  • Genetics 462
  • Clinical Biochemistry 105
Replace Rosa Maria Corbo with:
Rosa Maria Corbo Italy
Kaisa Silander Finland
Stephen Newhouse United Kingdom
Jennifer Gallagher United Kingdom
Ulrich Finckh Germany
Charles S. Wingo United States
Patrick T. Fueger United States
Adam J. Rose Denmark
Yves Malthièry France
Sigfrido Scarpa Italy
R. Scacchi relative to Rosa Maria Corbo Italy Rosa Maria Corbo's profile →
Citations per field
00.5×1.5×
Rosa Maria Corbo · 1×
Citations per year

Countries citing papers authored by R. Scacchi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside R. Scacchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Scacchi Line = papers co-authored together R. Scacchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999469
2 199975
3 199573
4 200664
5 199858
6 200851
7 199150
8 200445
9 201344
10 200743
11 199042
12 197540
13 199940
14 200340
15 200736
16 198935
17 200335
18 200733
19 200731
20 199730

About R. Scacchi

R. Scacchi is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Genetic Associations and Epidemiology (7 papers), Menopause: Health Impacts and Treatments (6 papers), Genetic diversity and population structure (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Neonatal Health and Biochemistry (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Aging (38 citations), Endocrinology, Diabetes and Metabolism (324 citations), Physiology (454 citations), Genetics (462 citations) and Clinical Biochemistry (105 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, Laura Ulizzi, Olga Rickards, Giuseppe Moretto, Elide Mantuano and R. Palmarino. Their work appears in journals such as Human Heredity, Dementia and Geriatric Cognitive Disorders, American Journal of Physical Anthropology, Human Genetics and Annals of Human Genetics.

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.

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