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.
Exercise‐Induced Reduction in Obesity and Insulin Resistance in Women: a Randomized Controlled Trial
2004503 citationsIan Janssen, Suzy L Wong et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Suzy L Wong'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 Suzy L Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzy L Wong more than expected).
This network shows the impact of papers produced by Suzy L Wong. 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 Suzy L Wong. The network helps show where Suzy L Wong may publish in the future.
Co-authorship network of co-authors of Suzy L Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Suzy L Wong.
A scholar is included among the top collaborators of Suzy L Wong 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 Suzy L Wong. Suzy L Wong is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gilmour, Heather, Pamela L Ramage-Morin, & Suzy L Wong. (2018). Multiple sclerosis: Prevalence and impact.. PubMed. 29(1). 3–8.58 indexed citations
7.
Chaput, Jean‐Philippe, et al.. (2017). Duration and quality of sleep among Canadians aged 18 to 79.. PubMed. 28(9). 28–33.67 indexed citations
8.
Wong, Suzy L. (2016). Reduced muscular strength among Canadians aged 60 to 79: Canadian Health Measures Survey, 2007 to 2013.. PubMed. 27(10). 11–17.7 indexed citations
9.
Wong, Suzy L, Allan L. Coates, & Teresa To. (2016). Exposure to industrial air pollutant emissions and lung function in children: Canadian Health Measures Survey, 2007 to 2011.. PubMed. 27(2). 3–9.50 indexed citations
10.
Wong, Suzy L, Heather Gilmour, & Pamela L Ramage-Morin. (2016). Alzheimer's disease and other dementias in Canada.. PubMed. 27(5). 11–6.35 indexed citations
11.
Gilmour, Heather, Pamela L Ramage-Morin, & Suzy L Wong. (2016). Epilepsy in Canada: Prevalence and impact.. PubMed. 27(9). 24–30.13 indexed citations
12.
Wong, Suzy L. (2016). Grip strength reference values for Canadians aged 6 to 79: Canadian Health Measures Survey, 2007 to 2013.. PubMed. 27(10). 3–10.78 indexed citations
Wong, Suzy L, et al.. (2013). Development of a population-based microsimulation mode of physical activity in Canada.. PubMed. 24(10). 11–9.4 indexed citations
15.
Wong, Suzy L, et al.. (2013). Implementation of the indoor air component of cycle 2 of the Canadian Health Measures Survey.. PubMed. 24(5). 3–10.9 indexed citations
16.
Wheeler, Amanda J., Suzy L Wong, Cheryl Khoury, & Jiping Zhu. (2013). Predictors of indoor BTEX concentrations in Canadian residences.. PubMed. 24(5). 11–7.44 indexed citations
17.
Colley, Rachel C., Suzy L Wong, Didier Garriguet, et al.. (2012). Physical activity, sedentary behaviour and sleep in Canadian children: parent-report versus direct measures and relative associations with health risk.. PubMed. 23(2). 45–52.86 indexed citations
18.
Leatherdale, Scott T. & Suzy L Wong. (2009). Peer Reviewed: Association Between Sedentary Behavior, Physical Activity, and Obesity: Inactivity Among Active Kids. Preventing Chronic Disease. 6(1).3 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.