Rosana Pacella
- Clinical Psychology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Rehabilitation top 0.5%
- Occupational Therapy top 0.2%
- Oncology top 10%
- Co-authors
- Peter A LazzariniJaap J. van NettenDavid G. ArmstrongNicholas GravesJames G. ScottHannah J. ThomasSteven McPhailYuqi Zhang
- Topics
- Child Abuse and Trauma (27 papers)Intimate Partner and Family Violence (15 papers)Wound Healing and Treatments (12 papers)
- Partner nations
- United KingdomAustraliaSouth Africa
In The Last Decade
Rosana Pacella
65 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Clinical Psychology 615
- Endocrinology, Diabetes and Metabolism 590
- Rehabilitation 506
- Occupational Therapy 395
- Oncology 315
Countries citing papers authored by Rosana Pacella
This map shows the geographic impact of Rosana Pacella'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 Rosana Pacella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosana Pacella more than expected).
Fields of papers citing papers by Rosana Pacella
This network shows the impact of papers produced by Rosana Pacella. 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 Rosana Pacella. The network helps show where Rosana Pacella may publish in the future.
Co-authorship network of co-authors of Rosana Pacella
This figure shows the co-authorship network connecting the top 25 collaborators of Rosana Pacella. A scholar is included among the top collaborators of Rosana Pacella 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 Rosana Pacella. Rosana Pacella 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 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | The prevalence and nature of multi‐type child maltreatment in Australiabreakdown → | 55 |
| 6 | The prevalence of child maltreatment in Australia: findings from a national surveybreakdown → | 98 |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 28 | |
| 12 | 9 | |
| 13 | 62 | |
| 14 | Global Disability Burdens of Diabetes-Related Lower-Extremity Complications in 1990 and 2016breakdown → | 328 |
| 15 | 46 | |
| 16 | 51 | |
| 17 | 5 | |
| 18 | 58 | |
| 19 | 10 | |
| 20 | 61 |
About Rosana Pacella
Rosana Pacella is a scholar working on Occupational Therapy, Health and Rehabilitation, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Child Abuse and Trauma (27 papers), Intimate Partner and Family Violence (15 papers) and Wound Healing and Treatments (12 papers). The work is most often cited by research in Occupational Therapy (395 citations), Rehabilitation (506 citations) and Endocrinology, Diabetes and Metabolism (590 citations). Rosana Pacella has collaborated with scholars based in United Kingdom, Australia and South Africa. Frequent co-authors include Peter A Lazzarini, Jaap J. van Netten, David G. Armstrong, Nicholas Graves, James G. Scott, Hannah J. Thomas, Steven McPhail, Yuqi Zhang, Ben Mathews and Qinglu Cheng. Their work appears in journals such as New England Journal of Medicine, 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.