Barbara A. Weir
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 0.05%
- Glioma Diagnosis and Treatment
Papers in
-
- Cancer Genomics and Diagnostics 15
-
- Genomics and Chromatin Dynamics 8
- Cancer-related gene regulation 7
- Protein Degradation and Inhibitors 6
- RNA modifications and cancer 6
- Co-authors
- Matthew Meyerson (12 shared papers)Rameen Beroukhim (9 shared papers)Travis Ian Zack (3 shared papers)Gad A. Getz (3 shared papers)David S. Pellman (2 shared papers)Scott L. Carter (2 shared papers)Wendy Winckler (2 shared papers)Aaron McKenna (1 shared paper)
- Journals
- Nature (6 papers)Proceedings of the National Academy of Sciences (5 papers)Cell (4 papers)Cancer Research (4 papers)Nature Biotechnology (4 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Barbara A. Weir
78 papers receiving 38.2k citations
Barbara A. Weir's Hit Papers
Peers
Comparison fields: 5 of 174
- Cancer Research 10.7k
- Genetics 6.1k
- Molecular Biology 22.2k
- Oncology 7.9k
- Pulmonary and Respiratory Medicine 6.2k
Countries citing papers authored by Barbara A. Weir
This map shows the geographic impact of Barbara A. Weir'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 Barbara A. Weir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara A. Weir more than expected).
Fields of papers citing papers by Barbara A. Weir
This network shows the impact of papers produced by Barbara A. Weir. 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 Barbara A. Weir. The network helps show where Barbara A. Weir may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara A. Weir, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive genomic characterization defines human glioblastoma genes and core pathways Hit paper breakdown → | 2008 | 6384 |
| 2 | Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1 Hit paper breakdown → | 2010 | 6007 |
| 3 | The landscape of somatic copy-number alteration across human cancers Hit paper breakdown → | 2010 | 3151 |
| 4 | Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1 Hit paper breakdown → | 2009 | 2831 |
| 5 | Next-generation characterization of the Cancer Cell Line Encyclopedia Hit paper breakdown → | 2019 | 2326 |
| 6 | Somatic mutations affect key pathways in lung adenocarcinoma Hit paper breakdown → | 2008 | 2237 |
| 7 | Defining a Cancer Dependency Map Hit paper breakdown → | 2017 | 2149 |
| 8 | Absolute quantification of somatic DNA alterations in human cancer Hit paper breakdown → | 2012 | 1565 |
| 9 | Computational correction of copy number effect improves specificity of CRISPR–Cas9 essentiality screens in cancer cells Hit paper breakdown → | 2017 | 1355 |
| 10 | Gene expression–based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study Hit paper breakdown → | 2008 | 957 |
| 11 | Characterizing the cancer genome in lung adenocarcinoma Hit paper breakdown → | 2007 | 924 |
| 12 | SOX2 is an amplified lineage-survival oncogene in lung and esophageal squamous cell carcinomas Hit paper breakdown → | 2009 | 797 |
| 13 | β-Catenin-Driven Cancers Require a YAP1 Transcriptional Complex for Survival and Tumorigenesis Hit paper breakdown → | 2012 | 662 |
| 14 | Subtype-specific genomic alterations define new targets for soft-tissue sarcoma therapy Hit paper breakdown → | 2010 | 610 |
| 15 | MTAP deletion confers enhanced dependency on the PRMT5 arginine methyltransferase in cancer cells Hit paper breakdown → | 2016 | 521 |
| 16 | 2012 | 492 | |
| 17 | 2008 | 432 | |
| 18 | 2009 | 432 | |
| 19 | 2016 | 406 | |
| 20 | 2010 | 382 |
About Barbara A. Weir
Barbara A. Weir is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 80 papers that have together received 39.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Lung Cancer Treatments and Mutations (9 papers), Genomic variations and chromosomal abnormalities (8 papers), Genomics and Chromatin Dynamics (8 papers), Cancer-related gene regulation (7 papers), Protein Degradation and Inhibitors (6 papers), RNA modifications and cancer (6 papers) and Water Quality Monitoring and Analysis (6 papers). The work is most often cited by research in Cancer Research (10.7k citations), Genetics (6.1k citations), Molecular Biology (22.2k citations), Oncology (7.9k citations) and Pulmonary and Respiratory Medicine (6.2k citations). Barbara A. Weir has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Matthew Meyerson, Rameen Beroukhim, Travis Ian Zack, Gad A. Getz, David S. Pellman, Scott L. Carter, Wendy Winckler, Aaron McKenna, Elena Helman and Eric S. Lander. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Cell, Cancer Research and Nature Biotechnology.
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.