Pasqualina Buono
- Molecular Biology
- Physiology top 5%
- Cancer Research top 10%
- Epidemiology
- Nutrition and Dietetics top 10%
- Co-authors
- Annamaria ManciniStefania OrrùEsther ImperliniAurora DanieleErsilia NigroAndreina AlfieriConcetta MontagneseFrancesco Salvatore
- Topics
- Adipose Tissue and Metabolism (12 papers)Muscle metabolism and nutrition (11 papers)Exercise and Physiological Responses (11 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaMolecular and Cellular Biology
- Partner nations
- ItalyDenmarkUnited Kingdom
In The Last Decade
Pasqualina Buono
81 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 636
- Physiology 385
- Cancer Research 257
- Epidemiology 222
- Nutrition and Dietetics 162
Countries citing papers authored by Pasqualina Buono
This map shows the geographic impact of Pasqualina Buono'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 Pasqualina Buono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasqualina Buono more than expected).
Fields of papers citing papers by Pasqualina Buono
This network shows the impact of papers produced by Pasqualina Buono. 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 Pasqualina Buono. The network helps show where Pasqualina Buono may publish in the future.
Co-authorship network of co-authors of Pasqualina Buono
This figure shows the co-authorship network connecting the top 25 collaborators of Pasqualina Buono. A scholar is included among the top collaborators of Pasqualina Buono 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 Pasqualina Buono. Pasqualina Buono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 41 | |
| 11 | 26 | |
| 12 | 7 | |
| 13 | Core Stability Training Program (CSTP) effects on static and dynamic balance abilities | 19 |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 29 | |
| 19 | 11 | |
| 20 | 12 |
About Pasqualina Buono
Pasqualina Buono is a scholar working on Rehabilitation, Physiology and Orthopedics and Sports Medicine, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Muscle metabolism and nutrition (11 papers) and Exercise and Physiological Responses (11 papers). The work is most often cited by research in Cancer Research (257 citations), Physiology (385 citations) and Rehabilitation (89 citations). Pasqualina Buono has collaborated with scholars based in Italy, Denmark and United Kingdom. Frequent co-authors include Annamaria Mancini, Stefania Orrù, Esther Imperlini, Aurora Daniele, Ersilia Nigro, Andreina Alfieri, Concetta Montagnese, Francesco Salvatore, Lucia Sacchetti and Carmela Nardelli. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.
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.