Ken Chen
Impact in
- Cancer Research top 0.02%
- Cancer Genomics and Diagnostics
- Genetics top 0.05%
- Glioma Diagnosis and Treatment
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Forensic and Genetic Research
Papers in
-
- Cancer Genomics and Diagnostics 67
- Oncology 41
- Cancer Immunotherapy and Biomarkers 11
- CAR-T cell therapy research 8
- Co-authors
- David E. Larson (6 shared papers)Li Ding (15 shared papers)Richard K. Wilson (7 shared papers)Elaine R. Mardis (6 shared papers)Michael D. McLellan (5 shared papers)Daniel C. Koboldt (4 shared papers)Nicholas E. Navin (12 shared papers)Ronald Anthony DePinho (5 shared papers)
- Journals
- Nature Communications (22 papers)Nature (21 papers)Cell (11 papers)Nature Methods (8 papers)Oncotarget (8 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ken Chen
272 papers receiving 73.6k citations
Ken Chen's Hit Papers
Peers
Comparison fields: 5 of 204
- Cancer Research 13.4k
- Genetics 7.3k
- Genetics 18.7k
- Oncology 8.3k
- Hematology 4.5k
Countries citing papers authored by Ken Chen
This map shows the geographic impact of Ken Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Chen more than expected).
Fields of papers citing papers by Ken Chen
This network shows the impact of papers produced by Ken Chen. 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 Chen. The network helps show where Ken Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Chen, 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 280 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global reference for human genetic variation Hit paper breakdown → | 2015 | 12887 |
| 2 | Comprehensive genomic characterization defines human glioblastoma genes and core pathways Hit paper breakdown → | 2008 | 6425 |
| 3 | A map of human genome variation from population-scale sequencing Hit paper breakdown → | 2010 | 6377 |
| 4 | The Somatic Genomic Landscape of Glioblastoma Hit paper breakdown → | 2013 | 4012 |
| 5 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2401 |
| 6 | Somatic mutations affect key pathways in lung adenocarcinoma Hit paper breakdown → | 2008 | 2237 |
| 7 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2169 |
| 8 | Recurring Mutations Found by Sequencing an Acute Myeloid Leukemia Genome Hit paper breakdown → | 2009 | 1887 |
| 9 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1748 |
| 10 | An integrated map of structural variation in 2,504 human genomes Hit paper breakdown → | 2015 | 1657 |
| 11 | Clonal evolution in relapsed acute myeloid leukaemia revealed by whole-genome sequencing Hit paper breakdown → | 2012 | 1649 |
| 12 | The Origin and Evolution of Mutations in Acute Myeloid Leukemia Hit paper breakdown → | 2012 | 1288 |
| 13 | The Ink4a Tumor Suppressor Gene Product, p19Arf, Interacts with MDM2 and Neutralizes MDM2's Inhibition of p53 Hit paper breakdown → | 1998 | 1275 |
| 14 | BreakDancer: an algorithm for high-resolution mapping of genomic structural variation Hit paper breakdown → | 2009 | 1118 |
| 15 | DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome Hit paper breakdown → | 2008 | 1103 |
| 16 | VarScan: variant detection in massively parallel sequencing of individual and pooled samples Hit paper breakdown → | 2009 | 1071 |
| 17 | Genomic Landscape of Non-Small Cell Lung Cancer in Smokers and Never-Smokers Hit paper breakdown → | 2012 | 990 |
| 18 | Genome remodelling in a basal-like breast cancer metastasis and xenograft Hit paper breakdown → | 2010 | 987 |
| 19 | Mapping copy number variation by population-scale genome sequencing Hit paper breakdown → | 2011 | 860 |
| 20 | Whole-genome analysis informs breast cancer response to aromatase inhibition Hit paper breakdown → | 2012 | 841 |
About Ken Chen
Ken Chen is a scholar working on Cancer Research, Oncology, Genetics, Molecular Biology and Immunology, having authored 280 papers that have together received 74.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (67 papers), Single-cell and spatial transcriptomics (33 papers), Genomic variations and chromosomal abnormalities (25 papers), Immune Cell Function and Interaction (13 papers), Cancer Immunotherapy and Biomarkers (11 papers), Acute Myeloid Leukemia Research (11 papers), Genomics and Phylogenetic Studies (11 papers) and CAR-T cell therapy research (8 papers). The work is most often cited by research in Cancer Research (13.4k citations), Genetics (7.3k citations), Genetics (18.7k citations), Oncology (8.3k citations) and Hematology (4.5k citations). Ken Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David E. Larson, Li Ding, Richard K. Wilson, Elaine R. Mardis, Michael D. McLellan, Daniel C. Koboldt, Nicholas E. Navin, Ronald Anthony DePinho, Nicole Schreiber‐Agus and Funda Meric‐Bernstam. Their work appears in journals such as Nature Communications, Nature, Cell, Nature Methods and Oncotarget.
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.