Daniele Spadaccini
- Physiology top 10%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Cell Biology
- Co-authors
- Mariangela RondanelliSimone PernaMara NichettiVittoria InfantinoGabriella PeroniClara GasparriMilena Anna FalivaAntonella Riva
- Topics
- Nutrition and Health in Aging (11 papers)Body Composition Measurement Techniques (6 papers)Muscle metabolism and nutrition (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Dairy ScienceSports Medicine
- Partner nations
- ItalyBahrainUnited Kingdom
In The Last Decade
Daniele Spadaccini
33 papers receiving 659 citations
Peers
Comparison fields: 5 of 97
- Physiology 284
- Public Health, Environmental and Occupational Health 98
- Molecular Biology 97
- Endocrinology, Diabetes and Metabolism 87
- Cell Biology 76
Countries citing papers authored by Daniele Spadaccini
This map shows the geographic impact of Daniele Spadaccini'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 Daniele Spadaccini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Spadaccini more than expected).
Fields of papers citing papers by Daniele Spadaccini
This network shows the impact of papers produced by Daniele Spadaccini. 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 Daniele Spadaccini. The network helps show where Daniele Spadaccini may publish in the future.
Co-authorship network of co-authors of Daniele Spadaccini
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Spadaccini. A scholar is included among the top collaborators of Daniele Spadaccini 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 Daniele Spadaccini. Daniele Spadaccini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 25 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | The Use of a New Food-Grade Lecithin Formulation of Highly Standardized Ginger (Zingiber officinale) and Acmella oleracea Extracts for the Treatment of Pain and Inflammation in a Group of Subjects with Moderate Knee Osteoarthritis | 1 |
| 7 | 33 | |
| 8 | 18 | |
| 9 | 71 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 36 | |
| 15 | 24 | |
| 16 | 27 | |
| 17 | 15 | |
| 18 | 45 | |
| 19 | 50 | |
| 20 | 12 |
About Daniele Spadaccini
Daniele Spadaccini is a scholar working on Complementary and alternative medicine, Physiology and Geriatrics and Gerontology, having authored 35 papers that have together received 681 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (11 papers), Body Composition Measurement Techniques (6 papers) and Muscle metabolism and nutrition (5 papers). The work is most often cited by research in Physiology (284 citations), Geriatrics and Gerontology (33 citations) and Complementary and alternative medicine (69 citations). Daniele Spadaccini has collaborated with scholars based in Italy, Bahrain and United Kingdom. Frequent co-authors include Mariangela Rondanelli, Simone Perna, Mara Nichetti, Vittoria Infantino, Gabriella Peroni, Clara Gasparri, Milena Anna Faliva, Antonella Riva, Giancarlo Iannello and Giovanna Petrangolini. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Sports Medicine.
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.