Ken C. Lo
Impact in
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- Cancer Genomics and Diagnostics
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- Genomic variations and chromosomal abnormalities
- Glioma Diagnosis and Treatment
Papers in
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- Genomics and Chromatin Dynamics 4
- Gene expression and cancer classification 3
- Genomics and Phylogenetic Studies 2
- Genetics 11
- Genomic variations and chromosomal abnormalities 11
- Co-authors
- John K. Cowell (14 shared papers)Lesleyann Hawthorn (5 shared papers)Yaron Turpaz (4 shared papers)Michael R. Rossi (4 shared papers)Ivaylo Ivanov (1 shared paper)Yurij Ionov (1 shared paper)Paul J. Gardina (2 shared papers)Charles G. Eberhart (2 shared papers)
- Journals
- Genes Chromosomes and Cancer (3 papers)Cancer Research (1 paper)Scientific Reports (1 paper)British Journal of Haematology (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Ken C. Lo
21 papers receiving 467 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 123
- Genetics 72
- Molecular Biology 291
- Genetics 92
- Neurology 47
Countries citing papers authored by Ken C. Lo
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
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.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 77 | |
| 2 | 2007 | 45 | |
| 3 | 2008 | 37 | |
| 4 | 2014 | 36 | |
| 5 | 2003 | 31 | |
| 6 | 2007 | 27 | |
| 7 | 2007 | 26 | |
| 8 | 2007 | 26 | |
| 9 | 2013 | 26 | |
| 10 | 2019 | 25 | |
| 11 | 2007 | 22 | |
| 12 | 2009 | 21 | |
| 13 | 2019 | 15 | |
| 14 | 2006 | 15 | |
| 15 | 1997 | 13 | |
| 16 | 2009 | 10 | |
| 17 | 2008 | 7 | |
| 18 | 2009 | 6 | |
| 19 | Overlay tool for aCGHViewer: an analysis module built for aCGHViewer used to perform comparisons of data derived from different microarray platforms. | 2007 | 4 |
| 20 | 2022 | 3 |
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 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 Chronic Kidney Disease and Diabetes (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, Yurij Ionov, Paul J. Gardina, Charles G. Eberhart, R. S. Daniels and Dione K. Bailey. Their work appears in journals such as Genes Chromosomes and Cancer, Cancer Research, Scientific Reports, British Journal of Haematology 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.