Eric Burton

993 citations
26 papers · 648 · h-index 13

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Oncology top 10%
    • Viral-associated cancers and disorders

Papers in

    • Viral-associated cancers and disorders 12
    • Cytomegalovirus and herpesvirus research 7
    • Herpesvirus Infections and Treatments 2

Eric Burton

26 papers receiving 627 citations

Peers

Eric Burton
Comparison fields: 5 of 72
  • Genetics 184
  • Oncology 239
  • Cancer Research 79
  • Pathology and Forensic Medicine 80
  • Immunology 85
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Chris A. Learn United States
Ugo Rovigatti United States
Sandra D. Bohling United States
Nora Ku United States
Youshan Zhao China
Takuji Yamauchi Japan
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Ritsuko Seki Japan
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Citations per field
00.5×6.2×
Chris A. Learn · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006185
2 201757
3 202255
4 200352
5 202045
6 199945
7 201832
8 202217
9 202116
10 201914
11 199014
12 202013
13 202012
14 202411
15 202210
16 199010
17 20239
18 19959
19 20218
20 19907

About Eric Burton

Eric Burton is a scholar working on Oncology, Epidemiology, Genetics, Molecular Biology and Plant Science, having authored 26 papers that have together received 648 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (12 papers), Cytomegalovirus and herpesvirus research (7 papers), Glioma Diagnosis and Treatment (4 papers), T-cell and Retrovirus Studies (2 papers), Herpesvirus Infections and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), Histiocytic Disorders and Treatments (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Genetics (184 citations), Oncology (239 citations), Cancer Research (79 citations), Pathology and Forensic Medicine (80 citations) and Immunology (85 citations). Eric Burton has collaborated with scholars based in United States. Frequent co-authors include Sumita Bhaduri‐McIntosh, Benjamin E. Gewurz, Michael Prados, Xiaofan Li, Sean K. Kelley, Jane Rabbitt, Mary Malec, Nicholas Butowski, Kathleen R. Lamborn and Raphaela Goldbach‐Mansky. Their work appears in journals such as PLoS Pathogens, Radiographics, Journal of Virology, Proceedings of the National Academy of Sciences and American Journal of Clinical Pathology.

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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