Eric Burton

47 papers receiving 925 citations

Peers

Eric Burton
Comparison fields: 5 of 87
  • Genetics 424
  • Complementary and Manual Therapy 76
  • Cancer Research 141
  • Neurology 109
  • Pulmonary and Respiratory Medicine 194
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Yuki Akazawa Japan
Ian F. Pollack United States
Jasper Chen United States
Woo‐Youl Jang South Korea
Luisa Bellu Italy
Ardi Pambuku Italy
Naito Kurio Japan
Armin Muigg Austria
Young Zoon Kim South Korea
Myra Ellen Van Linde Netherlands
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Citations per field
00.5×2×4×6×8.3×
Yuki Akazawa · 1×
Citations per year

Countries citing papers authored by Eric Burton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eric Burton Line = papers co-authored together Eric Burton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 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.
2002119
2
Aberrant p53, mdm2, and proliferation differ in glioblastomas from long-term compared with typical survivors.
2002110
3 2004104
4 200098
5 201965
6 201746
7 200237
8 201525
9 202025
10 201724
11 201724
12 201621
13 202319
14 201817
15 197214
16 201914
17 201613
18 199113
19 201812
20 201611

About Eric Burton

Eric Burton is a scholar working on Genetics, Neurology, Cancer Research, Epidemiology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 946 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (24 papers), Meningioma and schwannoma management (9 papers), Brain Metastases and Treatment (8 papers), Cancer Genomics and Diagnostics (3 papers), Neuroblastoma Research and Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Research Studies (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Genetics (424 citations), Complementary and Manual Therapy (76 citations), Cancer Research (141 citations), Neurology (109 citations) and Pulmonary and Respiratory Medicine (194 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 D. Aldape, Mehran Behruj Yusuf, Mark J. Amsbaugh, James N. F. Scott, Kathleen R. Lamborn, Sandra M. Passe and Robert Brian Jenkins. Their work appears in journals such as Journal of Neuro-Oncology, Neuro-Oncology, Neurosurgery, Annals of Oncology and World Neurosurgery.

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.

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