Stavroula Kanoni
- Nutrition and Dietetics top 10%
- Genetics
- Physiology
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- George DedoussisEugenio MocchegianiMarco MalavoltaJolanta JajteLothar RinkErminia MarianiGeorges HerbeinLuca Cattini
- Topics
- Genetic Associations and Epidemiology (7 papers)Trace Elements in Health (6 papers)Nutrition, Genetics, and Disease (4 papers)
- Partner nations
- GreeceUnited KingdomItaly
In The Last Decade
Stavroula Kanoni
24 papers receiving 502 citations
Peers
Comparison fields: 5 of 85
- Nutrition and Dietetics 163
- Genetics 116
- Physiology 112
- Public Health, Environmental and Occupational Health 107
- Molecular Biology 86
Countries citing papers authored by Stavroula Kanoni
This map shows the geographic impact of Stavroula Kanoni'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 Stavroula Kanoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stavroula Kanoni more than expected).
Fields of papers citing papers by Stavroula Kanoni
This network shows the impact of papers produced by Stavroula Kanoni. 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 Stavroula Kanoni. The network helps show where Stavroula Kanoni may publish in the future.
Co-authorship network of co-authors of Stavroula Kanoni
This figure shows the co-authorship network connecting the top 25 collaborators of Stavroula Kanoni. A scholar is included among the top collaborators of Stavroula Kanoni 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 Stavroula Kanoni. Stavroula Kanoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 48 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | Known SNPs in ADAMTS7, the 9p21 region and UBE2E interact with type 2 diabetes status to modify the risk of coronary artery disease in large populations | 2 |
| 8 | 16 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 98 | |
| 12 | 23 | |
| 13 | 14 | |
| 14 | 18 | |
| 15 | 23 | |
| 16 | 19 | |
| 17 | 59 | |
| 18 | 36 | |
| 19 | 35 | |
| 20 | 6 |
About Stavroula Kanoni
Stavroula Kanoni is a scholar working on Nutrition and Dietetics, Health, Toxicology and Mutagenesis and Genetics, having authored 24 papers that have together received 523 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Trace Elements in Health (6 papers) and Nutrition, Genetics, and Disease (4 papers). The work is most often cited by research in Nutrition and Dietetics (163 citations), Health, Toxicology and Mutagenesis (64 citations) and Physiology (112 citations). Stavroula Kanoni has collaborated with scholars based in Greece, United Kingdom and Italy. Frequent co-authors include George Dedoussis, Eugenio Mocchegiani, Marco Malavolta, Jolanta Jajte, Lothar Rink, Erminia Mariani, Georges Herbein, Luca Cattini, Panos Deloukas and Tamàs Fülöp. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Diabetes Care.
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.