Eric Burton
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
-
- Temporomandibular Joint Disorders
Papers in
- Genetics 25
- Glioma Diagnosis and Treatment 25
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- Brain Metastases and Treatment 13
- Co-authors
- Michael D. Prados (3 shared papers)Alan G. Glaros (1 shared paper)Shiao Y. Woo (18 shared papers)Ken Aldape (3 shared papers)Mehran Yusuf (9 shared papers)Robert B. Jenkins (2 shared papers)Peter Forsyth (2 shared papers)Sandra Passe (2 shared papers)
- Journals
- Journal of Neuro-Oncology (5 papers)World Neurosurgery (2 papers)Neurosurgery (2 papers)Annals of Oncology (2 papers)Neuro-Oncology (2 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Eric Burton
41 papers receiving 777 citations
Peers
Comparison fields: 5 of 86
- Genetics 404
- Complementary and Manual Therapy 76
- Cancer Research 148
- Neurology 126
- Oncology 186
Countries citing papers authored by Eric Burton
This map shows the geographic impact of Eric Burton'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 Eric Burton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Burton more than expected).
Fields of papers citing papers by Eric Burton
This network shows the impact of papers produced by Eric Burton. 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 Eric Burton. The network helps show where Eric Burton may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Burton, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic aberrations defined by comparative genomic hybridization distinguish long-term from typical survivors of glioblastoma. | 2002 | 117 |
| 2 | Aberrant p53, mdm2, and proliferation differ in glioblastomas from long-term compared with typical survivors. | 2002 | 107 |
| 3 | 2004 | 97 | |
| 4 | 2000 | 90 | |
| 5 | 2017 | 44 | |
| 6 | 2002 | 34 | |
| 7 | 2015 | 23 | |
| 8 | 2020 | 21 | |
| 9 | 2017 | 21 | |
| 10 | 2017 | 21 | |
| 11 | 2016 | 19 | |
| 12 | 2018 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 1991 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 1972 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2019 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2019 | 9 |
About Eric Burton
Eric Burton is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Oncology, Neurology and Epidemiology, having authored 41 papers that have together received 784 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (25 papers), Brain Metastases and Treatment (13 papers), Meningioma and schwannoma management (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Genomics and Diagnostics (3 papers), Neuroblastoma Research and Treatments (3 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Genetics (404 citations), Complementary and Manual Therapy (76 citations), Cancer Research (148 citations), Neurology (126 citations) and Oncology (186 citations). Eric Burton has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Michael D. Prados, Alan G. Glaros, Shiao Y. Woo, Ken Aldape, Mehran Yusuf, Robert B. Jenkins, Peter Forsyth, Sandra Passe, Mark J. Amsbaugh and James N. Scott. Their work appears in journals such as Journal of Neuro-Oncology, World Neurosurgery, Neurosurgery, Annals of Oncology and 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.