Daniel Jay Brat
Impact in
- Genetics top 0.01%
- Glioma Diagnosis and Treatment
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 192
- Glioma Diagnosis and Treatment 192
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- Cancer Genomics and Diagnostics 21
- Co-authors
- Erwin G. Van Meir (29 shared papers)Arie Perry (21 shared papers)David N. Louis (11 shared papers)Guido Reifenberger (10 shared papers)Andreas von Deimling (7 shared papers)Dominique F. Figarella-Branger (5 shared papers)Cynthia E Hawkins (5 shared papers)Pieter Wesseling (6 shared papers)
- Journals
- Neuro-Oncology (21 papers)Cancer Research (18 papers)Brain Pathology (15 papers)Cell Reports (13 papers)Journal of Neuro-Oncology (13 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Daniel Jay Brat
382 papers receiving 68.2k citations
Daniel Jay Brat's Hit Papers
Peers
Comparison fields: 5 of 187
- Genetics 24.3k
- Cancer Research 10.6k
- Oncology 10.2k
- Molecular Biology 13.9k
- Pulmonary and Respiratory Medicine 4.9k
Countries citing papers authored by Daniel Jay Brat
This map shows the geographic impact of Daniel Jay Brat'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 Daniel Jay Brat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jay Brat more than expected).
Fields of papers citing papers by Daniel Jay Brat
This network shows the impact of papers produced by Daniel Jay Brat. 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 Daniel Jay Brat. The network helps show where Daniel Jay Brat may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Jay Brat, 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 389 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The 2021 WHO Classification of Tumors of the Central Nervous System: a summary Hit paper breakdown → | 2021 | 7902 |
| 2 | Comprehensive genomic characterization defines human glioblastoma genes and core pathways Hit paper breakdown → | 2008 | 6425 |
| 3 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4385 |
| 4 | The Somatic Genomic Landscape of Glioblastoma Hit paper breakdown → | 2013 | 4012 |
| 5 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2633 |
| 6 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2371 |
| 7 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1758 |
| 8 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1748 |
| 9 | Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma Hit paper breakdown → | 2016 | 1659 |
| 10 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1634 |
| 11 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 824 |
| 12 | Predicting cancer outcomes from histology and genomics using convolutional networks Hit paper breakdown → | 2018 | 792 |
| 13 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 771 |
| 14 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 768 |
| 15 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 696 |
| 16 | cIMPACT-NOW update 3: recommended diagnostic criteria for “Diffuse astrocytic glioma, IDH-wildtype, with molecular features of glioblastoma, WHO grade IV” Hit paper breakdown → | 2018 | 676 |
| 17 | Transforming Fusions of FGFR and TACC Genes in Human Glioblastoma Hit paper breakdown → | 2012 | 656 |
| 18 | 2005 | 653 | |
| 19 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 617 |
| 20 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 598 |
About Daniel Jay Brat
Daniel Jay Brat is a scholar working on Genetics, Cancer Research, Oncology, Molecular Biology and Epidemiology, having authored 389 papers that have together received 69.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (192 papers), AI in cancer detection (22 papers), Cancer Genomics and Diagnostics (21 papers), Meningioma and schwannoma management (19 papers), Pituitary Gland Disorders and Treatments (11 papers), Angiogenesis and VEGF in Cancer (10 papers), Cell Image Analysis Techniques (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Genetics (24.3k citations), Cancer Research (10.6k citations), Oncology (10.2k citations), Molecular Biology (13.9k citations) and Pulmonary and Respiratory Medicine (4.9k citations). Daniel Jay Brat has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Erwin G. Van Meir, Arie Perry, David N. Louis, Guido Reifenberger, Andreas von Deimling, Dominique F. Figarella-Branger, Cynthia E Hawkins, Pieter Wesseling, David W. Ellison and Stefan M. Pfister. Their work appears in journals such as Neuro-Oncology, Cancer Research, Brain Pathology, Cell Reports and Journal of Neuro-Oncology.
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.