Charles Lu
Impact in
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- Hematology top 1%
- Acute Myeloid Leukemia Research
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
-
- Cancer Genomics and Diagnostics 11
- Co-authors
- Li DingMichael C. WendlMichael D. McLellanMingchao XieChristopher A. MillerRichard K. WilsonTimothy J. LeyJohn S. Welch
- Journals
- Journal of Clinical Oncology (7 papers)Cancer Research (4 papers)PLoS ONE (4 papers)Clinical Cancer Research (2 papers)The CRISPR Journal (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Charles Lu
44 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Cancer Research 2.1k
- Hematology 985
- Oncology 1.7k
- Aging 101
- Genetics 599
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2019 | 9 | |
| 7 | 2016 | 51 | |
| 8 | 2016 | 15 | |
| 9 | 2015 | 11 | |
| 10 | 2014 | 43 | |
| 11 | 2014 | 14 | |
| 12 | Mutational landscape and significance across 12 major cancer types Hit paper breakdown → | 2013 | 3134 |
| 13 | 2012 | 144 | |
| 14 | 2012 | 26 | |
| 15 | 2011 | 27 | |
| 16 | 2009 | 82 | |
| 17 | 2008 | 113 | |
| 18 | Systemic therapy with tumor suppressor FUS1-nanoparticles for stage IV lung cancer | 2007 | 7 |
| 19 | 2007 | 143 | |
| 20 | 2004 | 76 |
About Charles Lu
Charles Lu is a scholar working on Aging, Cancer Research, Molecular Biology, Biotechnology and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Lung Cancer Treatments and Mutations (9 papers), RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (5 papers), DNA Repair Mechanisms (4 papers), CRISPR and Genetic Engineering (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Cancer Research (2.1k citations), Hematology (985 citations), Oncology (1.7k citations), Aging (101 citations) and Genetics (599 citations). Charles Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Li Ding, Michael C. Wendl, Michael D. McLellan, Mingchao Xie, Christopher A. Miller, Richard K. Wilson, Timothy J. Ley, John S. Welch, Joshua F. McMichael and Matthew J. Walter. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, PLoS ONE, Clinical Cancer Research and The CRISPR Journal.
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.