Emilia Ragno
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Co-authors
- Giuseppe PaolissoMichelangela BarbieriClaudio FranceschiMassimiliano BonafèOlivieri FabiolaDaniela ManzellaMaria Rosaria RizzoLuigi Ferrucci
- Topics
- Heart Rate Variability and Autonomic Control (4 papers)Paraoxonase enzyme and polymorphisms (3 papers)Cardiovascular and exercise physiology (3 papers)
- Journals
- American Journal of Clinical NutritionThe Journal of Clinical Endocrinology & MetabolismDiabetologia
- Partner nations
- ItalyUnited States
In The Last Decade
Emilia Ragno
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Physiology 414
- Endocrinology, Diabetes and Metabolism 272
- Molecular Biology 264
- Cardiology and Cardiovascular Medicine 231
- Surgery 228
Countries citing papers authored by Emilia Ragno
This map shows the geographic impact of Emilia Ragno'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 Emilia Ragno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emilia Ragno more than expected).
Fields of papers citing papers by Emilia Ragno
This network shows the impact of papers produced by Emilia Ragno. 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 Emilia Ragno. The network helps show where Emilia Ragno may publish in the future.
Co-authorship network of co-authors of Emilia Ragno
This figure shows the co-authorship network connecting the top 25 collaborators of Emilia Ragno. A scholar is included among the top collaborators of Emilia Ragno 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 Emilia Ragno. Emilia Ragno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 37 | |
| 3 | 52 | |
| 4 | 15 | |
| 5 | 243 | |
| 6 | 240 | |
| 7 | 9 | |
| 8 | 27 | |
| 9 | 8 | |
| 10 | 10 | |
| 11 | Insulin resistance, plasma PAI-1 levels and PAI-1 gene polymorphism in healthy centenarians. | 3 |
| 12 | 111 | |
| 13 | 93 | |
| 14 | 67 | |
| 15 | 75 | |
| 16 | 64 | |
| 17 | 142 |
About Emilia Ragno
Emilia Ragno is a scholar working on Aging, Clinical Biochemistry and Complementary and alternative medicine, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (4 papers), Paraoxonase enzyme and polymorphisms (3 papers) and Cardiovascular and exercise physiology (3 papers). The work is most often cited by research in Aging (159 citations), Endocrinology, Diabetes and Metabolism (272 citations) and Physiology (414 citations). Emilia Ragno has collaborated with scholars based in Italy and United States. Frequent co-authors include Giuseppe Paolisso, Michelangela Barbieri, Claudio Franceschi, Massimiliano Bonafè, Olivieri Fabiola, Daniela Manzella, Maria Rosaria Rizzo, Luigi Ferrucci, M Varricchio and Francesca Marchegiani. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetologia.
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.