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.
Cohort Profile: The Australian Longitudinal Study on Women's Health
Activation of the interferon‐α pathway identifies a subgroup of systemic lupus erythematosus patients with distinct serologic features and active disease
This map shows the geographic impact of Christina Lee'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 Christina Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Lee more than expected).
This network shows the impact of papers produced by Christina Lee. 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 Christina Lee. The network helps show where Christina Lee may publish in the future.
Co-authorship network of co-authors of Christina Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Lee.
A scholar is included among the top collaborators of Christina Lee 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 Christina Lee. Christina Lee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Borgs, Christian, Jennifer Chayes, Christina Lee, & Devavrat Shah. (2017). Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation. Neural Information Processing Systems. 30. 4715–4726.9 indexed citations
Lim, Kenneth, Tzongshi Lu, Guerman Molostvov, et al.. (2012). Vascular Klotho Deficiency Potentiates the Development of Human Artery Calcification and Mediates Resistance to Fibroblast Growth Factor 23. Circulation. 125(18). 2243–2255.357 indexed citations breakdown →
11.
Lee, Christina, et al.. (2012). Effect of Temperature on the Growth Rate of Caenorhabditis elegans. Expedition. 2.1 indexed citations
Lee, Christina. (2006). Shannon Lewis-Simpson, ed. Vínland Revisited: The Norse World at the Turn of the First Millennium. Selected Papers from the Viking Millennium International Symposium, 15-24 September 2000, Newfoundland and Labrador.. Newfoundland and Labrador Studies. 21(1). 183–185.
15.
Lee, Christina, et al.. (2001). Hopes and Fears: The Life Choices, Aspirations and Well-Being of Young Rural Women.. Youth studies Australia. 20(3). 32–37.7 indexed citations
16.
Marshall, Roger & Christina Lee. (1998). A Cross-Cultural, Between-Gender Study of Extreme Response Style. ACR European Advances.12 indexed citations
Lee, Christina, et al.. (1992). The impact of music and imagery on physical performance and arousal: studies of coordination and endurance. Queensland's institutional digital repository (The University of Queensland). 15(1). 21–33.26 indexed citations
20.
Lee, Christina & Neville Owen. (1985). Reasons for discontinuing regular physical activity subsequent to a three-month fitness course. Queensland's institutional digital repository (The University of Queensland). 107. 5–8.3 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.