Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Candace Currie
Since
Specialization
Citations
This map shows the geographic impact of Candace Currie'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 Candace Currie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candace Currie more than expected).
This network shows the impact of papers produced by Candace Currie. 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 Candace Currie. The network helps show where Candace Currie may publish in the future.
Co-authorship network of co-authors of Candace Currie
This figure shows the co-authorship network connecting the top 25 collaborators of Candace Currie.
A scholar is included among the top collaborators of Candace Currie 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 Candace Currie. Candace Currie is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Currie, Candace, Winfried van der Sluijs, Ross Whitehead, et al.. (2015). Findings from the HSBC 2014 survey in Scotland : Health Behaviour in School-Aged Children, World Health Organization collaborative cross-national study (HSBC). ResearchOnline.1 indexed citations
5.
Currie, Candace & Aixa Aleman-Diaz. (2015). The importance of large-scale (cross-national) data collection on early adolescents (10-15 years old): shedding light on socioeconomic and gender inequalities in health. ResearchOnline.2 indexed citations
Muldoon, Janine, et al.. (2009). Promoting a ‘duty of care’ towards animals among children and young people: A literature review and findings from initial research to inform the development of interventions. Edinburgh Research Explorer.14 indexed citations
Inchley, Jo, Joanna Todd, Dorothy Currie, et al.. (2007). Perceptions of school and the health of schoolchildren. St Andrews Research Repository (St Andrews Research Repository).1 indexed citations
12.
Levin, Kate, Joanna Todd, Jo Inchley, et al.. (2007). HBSC Briefing Paper 11: Family Affluence and Health Among Schoolchildren. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).1 indexed citations
13.
Currie, Candace, et al.. (1997). Health behaviours of Scottish Schoolchildren: Report 6: Sex Education, Personal Relationships, Sexual Behaviour and HIV/AIDS Knowledge and Attitudes in 1990 and 1994. ResearchOnline.2 indexed citations
14.
Currie, Candace & Joanna Todd. (1993). Health Behaviours of Scottish Schoolchildren Report 3: Sex Education, Personal Relationships, Sexual Behaviour and HIV/AIDS Knowledge and Attitudes. ResearchOnline.13 indexed citations
15.
Currie, Candace. (1992). Home Care for Older People in Europe. Journal of Epidemiology & Community Health. 46(5). 548.4–549.19 indexed citations
Currie, Candace. (1990). Young people in independent schools, sexual behaviour and AIDS. ResearchOnline. 73–88.11 indexed citations
20.
Currie, Candace, Lone Schou, & David V. McQueen. (1989). Dental health-related behaviour in Scottish schoolchildren aged 11, 13 and 15 from Edinburgh city.. PubMed. 47(4). 182–91.4 indexed citations
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.