Christopher G. Hubert
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Genetics 8
- Glioma Diagnosis and Treatment 8
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Jeremy N. RichBriana C. PragerStephen C. MackQiulian WuShruti BhargavaVaidehi MahadevAndrew E. SloanMaricruz Rivera
- Journals
- Neuro-Oncology (5 papers)Journal of Visualized Experiments (2 papers)Cancer Discovery (2 papers)Cancer Cell (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Christopher G. Hubert
29 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Genetics 574
- Cancer Research 510
- Oncology 612
- Molecular Biology 1.1k
- Modeling and Simulation 60
Countries citing papers authored by Christopher G. Hubert
This map shows the geographic impact of Christopher G. Hubert'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 Christopher G. Hubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher G. Hubert more than expected).
Fields of papers citing papers by Christopher G. Hubert
This network shows the impact of papers produced by Christopher G. Hubert. 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 Christopher G. Hubert. The network helps show where Christopher G. Hubert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher G. Hubert, 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 | 2025 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 81 | |
| 7 | 2021 | 42 | |
| 8 | 2020 | 265 | |
| 9 | 2017 | 33 | |
| 10 | 2017 | 167 | |
| 11 | 2017 | 93 | |
| 12 | A Three-Dimensional Organoid Culture System Derived from Human Glioblastomas Recapitulates the Hypoxic Gradients and Cancer Stem Cell Heterogeneity of Tumors Found In Vivo Hit paper breakdown → | 2016 | 462 |
| 13 | 2015 | 71 | |
| 14 | 2015 | 252 | |
| 15 | 2013 | 88 | |
| 16 | 2012 | 67 | |
| 17 | 2011 | 55 | |
| 18 | 2009 | 53 | |
| 19 | 2006 | 8 | |
| 20 | 2004 | 23 |
About Christopher G. Hubert
Christopher G. Hubert is a scholar working on Genetics, Cancer Research, Oncology, Molecular Biology and Biotechnology, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Cancer Cells and Metastasis (8 papers), 3D Printing in Biomedical Research (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Genetics (574 citations), Cancer Research (510 citations), Oncology (612 citations), Molecular Biology (1.1k citations) and Modeling and Simulation (60 citations). Christopher G. Hubert has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Jeremy N. Rich, Briana C. Prager, Stephen C. Mack, Qiulian Wu, Shruti Bhargava, Vaidehi Mahadev, Andrew E. Sloan, Maricruz Rivera, Roger E. McLendon and Lisa C. Spangler. Their work appears in journals such as Neuro-Oncology, Journal of Visualized Experiments, Cancer Discovery, Cancer Cell and Acta Neuropathologica Communications.
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.