Ken C. Lo

846 citations
21 papers · 472 · h-index 14

Impact in

    • Glioma Diagnosis and Treatment
    • Genomic variations and chromosomal abnormalities
    • Cancer Genomics and Diagnostics

Papers in

    • Gene expression and cancer classification 3
    • Genomics and Chromatin Dynamics 3
    • Genomics and Phylogenetic Studies 2
    • Glycosylation and Glycoproteins Research 1
    • Genomic variations and chromosomal abnormalities 9

Ken C. Lo

21 papers receiving 465 citations

Peers

Ken C. Lo
Comparison fields: 5 of 65
  • Genetics 68
  • Cancer Research 95
  • Molecular Biology 241
  • Neurology 41
  • Genetics 79
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Sira Moreno Spain
Lauren A. Solomon Canada
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Countries citing papers authored by Ken C. Lo

Since Specialization
Citations

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

Fields of papers citing papers by Ken C. Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken C. Lo. 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 Ken C. Lo. The network helps show where Ken C. Lo may publish in the future.

Co-authors

The 25 scholars most cited alongside Ken C. Lo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken C. Lo Line = papers co-authored together Ken C. Lo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200677
2 200745
3 200837
4 201436
5 200331
6 200727
7 200726
8 200726
9 201326
10 201925
11 200721
12 200921
13 200615
14 201915
15 199713
16 200910
17 20087
18 20096
19
Overlay tool for aCGHViewer: an analysis module built for aCGHViewer used to perform comparisons of data derived from different microarray platforms.
20074
20 20223

About Ken C. Lo

Ken C. Lo is a scholar working on Molecular Biology, Genetics, Cancer Research, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 472 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (9 papers), Cancer Genomics and Diagnostics (4 papers), Gene expression and cancer classification (3 papers), Genomics and Chromatin Dynamics (3 papers), Genomics and Phylogenetic Studies (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Ferroptosis and cancer prognosis (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (68 citations), Cancer Research (95 citations), Molecular Biology (241 citations), Neurology (41 citations) and Genetics (79 citations). Ken C. Lo has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John K. Cowell, Lesleyann Hawthorn, Yaron Turpaz, Michael R. Rossi, Ivaylo Ivanov, Yurij Ionov, Paul J. Gardina, Charles G. Eberhart, J. F. Geddes and R. S. Daniels. Their work appears in journals such as Genes Chromosomes and Cancer, Clinical Cancer Research, BMC Genomics, Cancer Research and Oncogene.

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.

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