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.
Lessons from Basic Research in Selenium and Cancer Prevention
1998564 citationsClement IpJournal of Nutritionprofile →
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 Clement Ip'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 Clement Ip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clement Ip more than expected).
This network shows the impact of papers produced by Clement Ip. 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 Clement Ip. The network helps show where Clement Ip may publish in the future.
Co-authorship network of co-authors of Clement Ip
This figure shows the co-authorship network connecting the top 25 collaborators of Clement Ip.
A scholar is included among the top collaborators of Clement Ip 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 Clement Ip. Clement Ip is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ip, Clement & James R. Marshall. (2009). Trans Fatty Acids and Cancer. Nutrition Reviews. 54(5). 138–145.6 indexed citations
3.
Li, Song, Yunfei Zhou, Yan Dong, & Clement Ip. (2007). Doxorubicin and selenium cooperatively induce fas signaling in the absence of Fas/Fas ligand interaction.. PubMed. 27(5A). 3075–82.28 indexed citations
4.
Zu, Ke, Lesleyann Hawthorn, & Clement Ip. (2005). Up-regulation of c-Jun-NH2-kinase pathway contributes to the induction of mitochondria-mediated apoptosis by alpha-tocopheryl succinate in human prostate cancer cells.. PubMed. 4(1). 43–50.61 indexed citations
Swede, Helen, Yan Dong, Mary E. Reid, James F. Marshall, & Clement Ip. (2003). Cell cycle arrest biomarkers in human lung cancer cells after treatment with selenium in culture.. PubMed. 12(11 Pt 1). 1248–52.22 indexed citations
8.
Dong, Yan, Haitao Zhang, Lesleyann Hawthorn, Howard E. Ganther, & Clement Ip. (2003). Delineation of the molecular basis for selenium-induced growth arrest in human prostate cancer cells by oligonucleotide array.. PubMed. 63(1). 52–9.161 indexed citations
9.
Masso‐Welch, Patricia A., Danilo Zangani, Clement Ip, et al.. (2002). Inhibition of angiogenesis by the cancer chemopreventive agent conjugated linoleic acid.. PubMed. 62(15). 4383–9.64 indexed citations
10.
Dong, Yan, Howard E. Ganther, Carleton C. Stewart, & Clement Ip. (2002). Identification of molecular targets associated with selenium-induced growth inhibition in human breast cells using cDNA microarrays.. PubMed. 62(3). 708–14.95 indexed citations
11.
Ip, Clement, Yan Dong, & Howard E. Ganther. (2002). New Concepts in Selenium Chemoprevention. Cancer and Metastasis Reviews. 21(3-4). 281–289.144 indexed citations
Ip, Clement. (1998). Lessons from Basic Research in Selenium and Cancer Prevention. Journal of Nutrition. 128(11). 1845–1854.564 indexed citations breakdown →
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.