Shaowu Meng
Impact in
- Cancer Research top 0.02%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.1%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 42
-
- RNA modifications and cancer 12
- RNA Research and Splicing 8
- Genomics and Phylogenetic Studies 7
- Genomics and Chromatin Dynamics 7
- Co-authors
- Ralph A. Dean (6 shared papers)Thomas K. Mitchell (3 shared papers)Douglas Brown (3 shared papers)Yeonyee Oh (3 shared papers)Trudy A. Torto-Alalibo (4 shared papers)Chunlin Long (1 shared paper)Shanjun Wei (1 shared paper)Liya Hong (1 shared paper)
- Journals
- Cell (15 papers)Cell Reports (14 papers)Cancer Cell (12 papers)Nature Communications (11 papers)Nature (8 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Shaowu Meng
87 papers receiving 48.3k citations
Shaowu Meng's Hit Papers
Peers
Comparison fields: 5 of 184
- Cancer Research 15.7k
- Oncology 11.2k
- Molecular Biology 23.7k
- Pulmonary and Respiratory Medicine 8.4k
- Genetics 2.2k
Countries citing papers authored by Shaowu Meng
This map shows the geographic impact of Shaowu Meng'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 Shaowu Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaowu Meng more than expected).
Fields of papers citing papers by Shaowu Meng
This network shows the impact of papers produced by Shaowu Meng. 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 Shaowu Meng. The network helps show where Shaowu Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaowu Meng, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 2 | Genomic Classification of Cutaneous Melanoma Hit paper breakdown → | 2015 | 2509 |
| 3 | Integrated Genomic Characterization of Papillary Thyroid Carcinoma Hit paper breakdown → | 2014 | 2442 |
| 4 | The Molecular Taxonomy of Primary Prostate Cancer Hit paper breakdown → | 2015 | 2435 |
| 5 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 6 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 7 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 8 | Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma Hit paper breakdown → | 2017 | 1970 |
| 9 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 10 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 11 | Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma Hit paper breakdown → | 2016 | 1643 |
| 12 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 13 | Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2017 | 1559 |
| 14 | Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer Hit paper breakdown → | 2015 | 1471 |
| 15 | Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis Hit paper breakdown → | 2006 | 984 |
| 16 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 17 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 18 | Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma Hit paper breakdown → | 2017 | 719 |
| 19 | The evolutionary history of 2,658 cancers Hit paper breakdown → | 2020 | 705 |
| 20 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
About Shaowu Meng
Shaowu Meng is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 48.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (42 papers), Genetic factors in colorectal cancer (13 papers), RNA modifications and cancer (12 papers), RNA Research and Splicing (8 papers), Genomics and Phylogenetic Studies (7 papers), Genomics and Chromatin Dynamics (7 papers), Cancer-related Molecular Pathways (7 papers) and Pancreatic and Hepatic Oncology Research (6 papers). The work is most often cited by research in Cancer Research (15.7k citations), Oncology (11.2k citations), Molecular Biology (23.7k citations), Pulmonary and Respiratory Medicine (8.4k citations) and Genetics (2.2k citations). Shaowu Meng has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ralph A. Dean, Thomas K. Mitchell, Douglas Brown, Yeonyee Oh, Trudy A. Torto-Alalibo, Chunlin Long, Shanjun Wei, Liya Hong, Zhiyong Guo and Nicole M. Donofrio. Their work appears in journals such as Cell, Cell Reports, Cancer Cell, Nature Communications and Nature.
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.