Charles Lu
Impact in
- Genetics top 0.2%
- Glioma Diagnosis and Treatment
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics
Papers in
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- Cancer Genomics and Diagnostics 13
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- Fungal and yeast genetics research 4
- CRISPR and Genetic Engineering 4
- Co-authors
- Michael D. McLellan (3 shared papers)Michael C. Wendl (3 shared papers)Mingchao Xie (3 shared papers)Li Ding (3 shared papers)Qunyuan Zhang (2 shared papers)Kai Ye (2 shared papers)Beifang Niu (2 shared papers)Christopher A. Miller (4 shared papers)
- Journals
- Nature (10 papers)Nature Communications (7 papers)Nature Genetics (6 papers)PLoS ONE (5 papers)Cell Reports (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Charles Lu
75 papers receiving 22.1k citations
Charles Lu's Hit Papers
Peers
Comparison fields: 5 of 139
- Genetics 3.1k
- Cancer Research 4k
- Hematology 3k
- Oncology 2.4k
- Molecular Biology 5.6k
Countries citing papers authored by Charles Lu
This map shows the geographic impact of Charles Lu'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 Charles Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Lu more than expected).
Fields of papers citing papers by Charles Lu
This network shows the impact of papers produced by Charles Lu. 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 Charles Lu. The network helps show where Charles Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles Lu, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mutational landscape and significance across 12 major cancer types Hit paper breakdown → | 2013 | 3554 |
| 2 | Clonal evolution in relapsed acute myeloid leukaemia revealed by whole-genome sequencing Hit paper breakdown → | 2012 | 1649 |
| 3 | Age-related mutations associated with clonal hematopoietic expansion and malignancies Hit paper breakdown → | 2014 | 1523 |
| 4 | Somatic histone H3 alterations in pediatric diffuse intrinsic pontine gliomas and non-brainstem glioblastomas Hit paper breakdown → | 2012 | 1370 |
| 5 | The Origin and Evolution of Mutations in Acute Myeloid Leukemia Hit paper breakdown → | 2012 | 1288 |
| 6 | Integrated genomic and molecular characterization of cervical cancer Hit paper breakdown → | 2017 | 1231 |
| 7 | Genomic sequence of the pathogenic and allergenic filamentous fungus Aspergillus fumigatus Hit paper breakdown → | 2005 | 1183 |
| 8 | The genomic landscape of diffuse intrinsic pontine glioma and pediatric non-brainstem high-grade glioma Hit paper breakdown → | 2014 | 862 |
| 9 | Whole-genome analysis informs breast cancer response to aromatase inhibition Hit paper breakdown → | 2012 | 841 |
| 10 | Novel mutations target distinct subgroups of medulloblastoma Hit paper breakdown → | 2012 | 718 |
| 11 | Whole-genome sequencing identifies genetic alterations in pediatric low-grade gliomas Hit paper breakdown → | 2013 | 683 |
| 12 | MSIsensor: microsatellite instability detection using paired tumor-normal sequence data Hit paper breakdown → | 2013 | 657 |
| 13 | Recurrent Somatic Structural Variations Contribute to Tumorigenesis in Pediatric Osteosarcoma Hit paper breakdown → | 2014 | 595 |
| 14 | The genomic landscape of hypodiploid acute lymphoblastic leukemia Hit paper breakdown → | 2013 | 566 |
| 15 | Endocrine-Therapy-Resistant ESR1 Variants Revealed by Genomic Characterization of Breast-Cancer-Derived Xenografts Hit paper breakdown → | 2013 | 533 |
| 16 | C11orf95–RELA fusions drive oncogenic NF-κB signalling in ependymoma Hit paper breakdown → | 2014 | 527 |
| 17 | A novel retinoblastoma therapy from genomic and epigenetic analyses Hit paper breakdown → | 2012 | 412 |
| 18 | The landscape of somatic mutations in infant MLL-rearranged acute lymphoblastic leukemias Hit paper breakdown → | 2015 | 400 |
| 19 | The Integrated Genomic Landscape of Thymic Epithelial Tumors Hit paper breakdown → | 2018 | 286 |
| 20 | 2005 | 274 |
About Charles Lu
Charles Lu is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Genetics, having authored 77 papers that have together received 22.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Lung Cancer Research Studies (5 papers), Glioma Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Fungal and yeast genetics research (4 papers), Genetic Associations and Epidemiology (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Genetics (3.1k citations), Cancer Research (4k citations), Hematology (3k citations), Oncology (2.4k citations) and Molecular Biology (5.6k citations). Charles Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Michael D. McLellan, Michael C. Wendl, Mingchao Xie, Li Ding, Qunyuan Zhang, Kai Ye, Beifang Niu, Christopher A. Miller, Richard K. Wilson and Timothy James Ley. Their work appears in journals such as Nature, Nature Communications, Nature Genetics, PLoS ONE and Cell Reports.
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.