Ken C. Lo

840 citations
21 papers · 473 indexed · h-index 14

Ken C. Lo

21 papers receiving 467 citations

Peers

Ken C. Lo
Comparison fields: 5 of 68
  • Cancer Research 123
  • Genetics 72
  • Molecular Biology 291
  • Genetics 92
  • Neurology 47
Replace Cecilia Surace with:
Cecilia Surace Italy
Lauren A. Solomon Canada
Lily Ramyar Canada
Louise James United Kingdom
Alfons Meindl Germany
Johanna Sandgren Sweden
Lisa McFerrin United States
Suna Önengüt United States
Benoît Cadieux United States
Margaret L. McKinnon Canada
Ken C. Lo relative to Cecilia Surace Italy Cecilia Surace's profile →
Citations per field
00.5×1.5×
Cecilia Surace · 1×
Citations per year

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-authorship network

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
#Work
1 20223
2 201915
3 201925
4 201436
5 201326
6 20121
7 20096
8 200910
9 200921
10 20087
11 200837
12 200722
13 200745
14 200726
15 200726
16
Overlay tool for aCGHViewer: an analysis module built for aCGHViewer used to perform comparisons of data derived from different microarray platforms.
20074
17 200727
18 200677
19 200615
20 200331

About Ken C. Lo

Ken C. Lo is a scholar working on Cancer Research, Genetics, Molecular Biology, Nephrology and Cell Biology, having authored 21 papers that have together received 473 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (11 papers), Cancer Genomics and Diagnostics (7 papers), Genomics and Chromatin Dynamics (4 papers), Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (123 citations), Genetics (72 citations), Molecular Biology (291 citations), Genetics (92 citations) and Neurology (47 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, Paul J. Gardina, Yurij Ionov, Charles G. Eberhart, Dione K. Bailey and J. F. Geddes. Their work appears in journals such as Genes Chromosomes and Cancer, Scientific Reports, British Journal of Haematology, Clinical Cancer Research and American Journal of Physiology-Heart and Circulatory Physiology.

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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