Cécile Low‐Kam

1.5k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Cécile Low‐Kam is a scholar working on Surgery, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Cécile Low‐Kam has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Cécile Low‐Kam's work include Lipoproteins and Cardiovascular Health (4 papers), Cholesterol and Lipid Metabolism (2 papers) and Lipid metabolism and disorders (2 papers). Cécile Low‐Kam is often cited by papers focused on Lipoproteins and Cardiovascular Health (4 papers), Cholesterol and Lipid Metabolism (2 papers) and Lipid metabolism and disorders (2 papers). Cécile Low‐Kam collaborates with scholars based in United States, Canada and Germany. Cécile Low‐Kam's co-authors include André E. Nel, Zhaoxia Ji, Haiyuan Zhang, Suman Pokhrel, Lutz Mädler, Rong Liu, Donatello Telesca, Jeffrey I. Zink, Tian Xia and Yoram Cohen and has published in prestigious journals such as Circulation, Environmental Science & Technology and ACS Nano.

In The Last Decade

Cécile Low‐Kam

13 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

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.

Use of Metal Oxide Nanoparticle Band Gap To Develop a Predictive Paradigm for Oxidative Stress and Acute Pulmonary Inflammation

2012 680 citations Haiyuan Zhang, Zhaoxia Ji et al. ACS Nano profile →

Peers

Countries citing papers authored by Cécile Low‐Kam

Since Specialization

Citations

This map shows the geographic impact of Cécile Low‐Kam'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 Cécile Low‐Kam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cécile Low‐Kam more than expected).

Fields of papers citing papers by Cécile Low‐Kam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cécile Low‐Kam. 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 Cécile Low‐Kam. The network helps show where Cécile Low‐Kam may publish in the future.

Co-authorship network of co-authors of Cécile Low‐Kam

This figure shows the co-authorship network connecting the top 25 collaborators of Cécile Low‐Kam. A scholar is included among the top collaborators of Cécile Low‐Kam 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 Cécile Low‐Kam. Cécile Low‐Kam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

#	Work	Indexed citations
1	Precision‐Weighted Federated Learning 2025 ·Computational Intelligence ·(unknown), (unknown), Cécile Low‐Kam, Marta Kersten‐Oertel	1
2	Variants at the APOE/C1/C2/C4 Locus Modulate Cholesterol Efflux Capacity Independently of High‐Density Lipoprotein Cholesterol 2018 ·Journal of the American Heart Association ·Cécile Low‐Kam, David Rhainds, Ken Sin Lo, Amina Barhdadi, (unknown), (unknown), (unknown), Éric Rhéaume, Marie‐Pierre Dubé, David Busseuil, Robert A. Hegele, Guillaume Lettre, Jean‐Claude Tardif	24
3	Polygenic determinants in extremes of high-density lipoprotein cholesterol 2017 ·Journal of Lipid Research ·Jacqueline S. Dron, Jian Wang, Cécile Low‐Kam, Sumeet A. Khetarpal, John F. Robinson, Adam D. McIntyre, Matthew R. Ban, Henian Cao, David Rhainds, Marie‐Pierre Dubé, Daniel J. Rader, Guillaume Lettre, Jean‐Claude Tardif, Robert A. Hegele	47
4	Whole-genome sequencing in French Canadians from Quebec 2016 ·Human Genetics ·Cécile Low‐Kam, David Rhainds, Ken Sin Lo, Sylvie Provost, Ian Mongrain, Anick Dubois, Sylvie Perreault, John F. Robinson, Robert A. Hegele, Marie‐Pierre Dubé, Jean‐Claude Tardif, Guillaume Lettre	13
5	Polygenic Versus Monogenic Causes of Hypercholesterolemia Ascertained Clinically 2016 ·Arteriosclerosis Thrombosis and Vascular Biology ·Jian Wang, Jacqueline S. Dron, Matthew R. Ban, John F. Robinson, Adam D. McIntyre, (unknown), Pei Zhao, Allison A. Dilliott, Henian Cao, Murray W. Huff, David Rhainds, Cécile Low‐Kam, Marie‐Pierre Dubé, Guillaume Lettre, Jean‐Claude Tardif, Robert A. Hegele	145
6	Toxicity of Metal Oxide Nanoparticles in Escherichia coli Correlates with Conduction Band and Hydration Energies 2015 ·Environmental Science & Technology ·Chitrada Kaweeteerawat, Angela Ivask, Rong Liu, Haiyuan Zhang, Chong Hyun Chang, Cécile Low‐Kam, Heidi Fischer, Zhaoxia Ji, Suman Pokhrel, Yoram Cohen, Donatello Telesca, Jeffrey I. Zink, Lutz Mädler, Patricia A. Holden, André E. Nel, Hilary A. Godwin	133
7	Abstract 17214: Differential Relationships Between Serum Cholesterol Efflux Capacities Measured From Three Cell Models and Coronary Artery Disease Status in the Montreal Heart Institute Biobank 2015 ·Circulation ·David Rhainds, Cécile Low‐Kam, (unknown), (unknown), Ian Mongrain, (unknown), (unknown), Jean‐Claude Tardif	1
8	A Bayesian regression tree approach to identify the effect of nanoparticles’ properties on toxicity profiles 2015 ·The Annals of Applied Statistics ·Cécile Low‐Kam, Donatello Telesca, Zhaoxia Ji, Haiyuan Zhang, Tian Xia, Jeffrey I. Zink, André E. Nel	14
9	Metal Oxides: Zebrafish High‐Throughput Screening to Study the Impact of Dissolvable Metal Oxide Nanoparticles on the Hatching Enzyme, ZHE1 (Small 9–10/2013) 2013 ·Small ·Sijie Lin, Yan Zhao, Zhaoxia Ji, Jason Ear, Chong Hyun Chang, Haiyuan Zhang, Cécile Low‐Kam, (unknown), Huan Meng, Xiang Wang, Rong Liu, Suman Pokhrel, Lutz Mädler, Robert Damoiseaux, Tian Xia, Hilary A. Godwin, Shuo Lin, André E. Nel	2
10	Relating nano‐particle properties to biological outcomes in exposure escalation experiments 2013 ·Environmetrics ·Tulsi Patel, Donatello Telesca, Cécile Low‐Kam, (unknown), (unknown), Tian Xia, (unknown), André E. Nel	10
11	Use of Metal Oxide Nanoparticle Band Gap To Develop a Predictive Paradigm for Oxidative Stress and Acute Pulmonary Inflammation breakdown → 2012 ·ACS Nano ·Haiyuan Zhang, Zhaoxia Ji, Tian Xia, Huan Meng, Cécile Low‐Kam, Rong Liu, Suman Pokhrel, Sijie Lin, Xiang Wang, Yu‐Pei Liao, Meiying Wang, Linjiang Li, Robert Ralló, Robert Damoiseaux, Donatello Telesca, Lutz Mädler, Yoram Cohen, Jeffrey I. Zink, André E. Nel	680
12	Zebrafish High‐Throughput Screening to Study the Impact of Dissolvable Metal Oxide Nanoparticles on the Hatching Enzyme, ZHE1 2012 ·Small ·Sijie Lin, Yan Zhao, Zhaoxia Ji, Jason Ear, Chong Hyun Chang, Haiyuan Zhang, Cécile Low‐Kam, (unknown), Huan Meng, Xiang Wang, Rong Liu, Suman Pokhrel, Lutz Mädler, Robert Damoiseaux, Tian Xia, Hilary A. Godwin, Shuo Lin, André E. Nel	114
13	Détection de séquences atypiques basée sur un modèle de Markov d'ordre variable. 2009 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Cécile Low‐Kam, Anne Laurent, Maguelonne Teisseire	0
14	Detection of Sequential Outliers Using a Variable Length Markov Model 2008 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Cécile Low‐Kam, Anne Laurent, M. Teisseire	3

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.

Explore authors with similar magnitude of impact