Li Ding
Impact in
- Cancer Research top 0.01%
- Cancer Genomics and Diagnostics
- Genetics top 0.02%
- Glioma Diagnosis and Treatment
Papers in
- Cancer Research 168
- Cancer Genomics and Diagnostics 118
- Cancer-related molecular mechanisms research 27
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- RNA modifications and cancer 32
- Epigenetics and DNA Methylation 26
- Single-cell and spatial transcriptomics 24
- Genomics and Phylogenetic Studies 19
- Co-authors
- Richard K. Wilson (23 shared papers)Michael D. McLellan (16 shared papers)Elaine R. Mardis (25 shared papers)Michael C. Wendl (23 shared papers)Timothy James Ley (14 shared papers)Mingchao Xie (8 shared papers)Qunyuan Zhang (5 shared papers)Charles Lu (3 shared papers)
- Journals
- Cell (24 papers)Nature Communications (23 papers)Nature (22 papers)Nature Genetics (17 papers)Cancer Cell (16 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Li Ding
600 papers receiving 80.8k citations
Li Ding's Hit Papers
Peers
Comparison fields: 5 of 214
- Cancer Research 23.5k
- Genetics 11.1k
- Hematology 10.5k
- Oncology 14.8k
- Molecular Biology 39.1k
Countries citing papers authored by Li Ding
This map shows the geographic impact of Li Ding'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 Li Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ding more than expected).
Fields of papers citing papers by Li Ding
This network shows the impact of papers produced by Li Ding. 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 Li Ding. The network helps show where Li Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Ding, 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 642 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1 Hit paper breakdown → | 2010 | 6007 |
| 2 | Mutational landscape and significance across 12 major cancer types Hit paper breakdown → | 2013 | 3530 |
| 3 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 4 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 5 | Somatic mutations affect key pathways in lung adenocarcinoma Hit paper breakdown → | 2008 | 2237 |
| 6 | Identification of a CpG Island Methylator Phenotype that Defines a Distinct Subgroup of Glioma Hit paper breakdown → | 2010 | 1943 |
| 7 | Recurring Mutations Found by Sequencing an Acute Myeloid Leukemia Genome Hit paper breakdown → | 2009 | 1886 |
| 8 | DNMT3A Mutations in Acute Myeloid Leukemia Hit paper breakdown → | 2010 | 1657 |
| 9 | Clonal evolution in relapsed acute myeloid leukaemia revealed by whole-genome sequencing Hit paper breakdown → | 2012 | 1645 |
| 10 | Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma Hit paper breakdown → | 2016 | 1643 |
| 11 | An integrated map of structural variation in 2,504 human genomes Hit paper breakdown → | 2015 | 1624 |
| 12 | Age-related mutations associated with clonal hematopoietic expansion and malignancies Hit paper breakdown → | 2014 | 1511 |
| 13 | The genetic basis of early T-cell precursor acute lymphoblastic leukaemia Hit paper breakdown → | 2012 | 1318 |
| 14 | Proteogenomics connects somatic mutations to signalling in breast cancer Hit paper breakdown → | 2016 | 1294 |
| 15 | The Origin and Evolution of Mutations in Acute Myeloid Leukemia Hit paper breakdown → | 2012 | 1285 |
| 16 | Targetable Kinase-Activating Lesions in Ph-like Acute Lymphoblastic Leukemia Hit paper breakdown → | 2014 | 1116 |
| 17 | BreakDancer: an algorithm for high-resolution mapping of genomic structural variation Hit paper breakdown → | 2009 | 1112 |
| 18 | VarScan: variant detection in massively parallel sequencing of individual and pooled samples Hit paper breakdown → | 2009 | 1059 |
| 19 | DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome Hit paper breakdown → | 2008 | 1050 |
| 20 | Genome remodelling in a basal-like breast cancer metastasis and xenograft Hit paper breakdown → | 2010 | 991 |
About Li Ding
Li Ding is a scholar working on Cancer Research, Molecular Biology, Hematology, Oncology and Pulmonary and Respiratory Medicine, having authored 642 papers that have together received 82.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (118 papers), Acute Myeloid Leukemia Research (33 papers), RNA modifications and cancer (32 papers), Cancer-related molecular mechanisms research (27 papers), Epigenetics and DNA Methylation (26 papers), Single-cell and spatial transcriptomics (24 papers), Ferroptosis and cancer prognosis (22 papers) and Genomics and Phylogenetic Studies (19 papers). The work is most often cited by research in Cancer Research (23.5k citations), Genetics (11.1k citations), Hematology (10.5k citations), Oncology (14.8k citations) and Molecular Biology (39.1k citations). Li Ding has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Richard K. Wilson, Michael D. McLellan, Elaine R. Mardis, Michael C. Wendl, Timothy James Ley, Mingchao Xie, Qunyuan Zhang, Charles Lu, Beifang Niu and Joshua F. McMichael. Their work appears in journals such as Cell, Nature Communications, Nature, Nature Genetics and Cancer Cell.
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.