Giuseppina Carrieri
- Molecular Biology
- Aging top 0.5%
- Physiology top 10%
- Clinical Biochemistry top 2%
- Genetics
- Co-authors
- Claudio FranceschiMassimiliano BonafèGiuseppina RoseG. De BenedictisMaría De LucaStefano BertoliniE. FalconeGiuseppe Passarino
- Topics
- Mitochondrial Function and Pathology (8 papers)Genetics, Aging, and Longevity in Model Organisms (5 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
- Journals
- The FASEB JournalAnnals of the New York Academy of SciencesJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giuseppina Carrieri
14 papers receiving 975 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 612
- Aging 330
- Physiology 263
- Clinical Biochemistry 181
- Genetics 173
Countries citing papers authored by Giuseppina Carrieri
This map shows the geographic impact of Giuseppina Carrieri'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 Giuseppina Carrieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppina Carrieri more than expected).
Fields of papers citing papers by Giuseppina Carrieri
This network shows the impact of papers produced by Giuseppina Carrieri. 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 Giuseppina Carrieri. The network helps show where Giuseppina Carrieri may publish in the future.
Co-authorship network of co-authors of Giuseppina Carrieri
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppina Carrieri. A scholar is included among the top collaborators of Giuseppina Carrieri 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 Giuseppina Carrieri. Giuseppina Carrieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 89 | |
| 3 | 9 | |
| 4 | 30 | |
| 5 | 28 | |
| 6 | 94 | |
| 7 | 138 | |
| 8 | 53 | |
| 9 | 29 | |
| 10 | 301 | |
| 11 | 53 | |
| 12 | 99 | |
| 13 | 42 | |
| 14 | Allele frequency distributions at seven DNA hypervariable loci in a population sample from Calabria (southern Italy). | 8 |
About Giuseppina Carrieri
Giuseppina Carrieri is a scholar working on Aging, Clinical Biochemistry and Physiology, having authored 14 papers that have together received 992 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Aging (330 citations), Clinical Biochemistry (181 citations) and Neuropsychology and Physiological Psychology (17 citations). Giuseppina Carrieri has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Claudio Franceschi, Massimiliano Bonafè, Giuseppina Rose, G. De Benedictis, María De Luca, Stefano Bertolini, E. Falcone, Giuseppe Passarino, Giovanna De Benedictis and Daniela Mari. Their work appears in journals such as The FASEB Journal, Annals of the New York Academy of Sciences and Journal of Pharmacology and Experimental Therapeutics.
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.