John M. Easton

1.3k total citations
56 papers, 871 citations indexed

About

John M. Easton is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, John M. Easton has authored 56 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 12 papers in Epidemiology and 11 papers in Molecular Biology. Recurrent topics in John M. Easton's work include Viral-associated cancers and disorders (13 papers), Cytomegalovirus and herpesvirus research (7 papers) and Parvovirus B19 Infection Studies (6 papers). John M. Easton is often cited by papers focused on Viral-associated cancers and disorders (13 papers), Cytomegalovirus and herpesvirus research (7 papers) and Parvovirus B19 Infection Studies (6 papers). John M. Easton collaborates with scholars based in United Kingdom, United States and Slovakia. John M. Easton's co-authors include Paul H. Levine, Roger R. Connelly, Burton Goldberg, Howard Green, Mark R. Viant, Christian Ludwig, Costan W. Berard, Ian Magrath, Ronald F. Dorfman and Lakshmi S. Kamaraju and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

John M. Easton

54 papers receiving 797 citations

Peers

John M. Easton
Comparison fields: 5 of 136
  • Oncology 252
  • Molecular Biology 243
  • Pathology and Forensic Medicine 161
  • Epidemiology 120
  • Surgery 109
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Junwei Huang China
Anthony D. Kang United States
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Citations per field, relative to John M. Easton
John M. Easton · 1×
Citations per year, relative to John M. Easton
John M. Easton · 1×

Countries citing papers authored by John M. Easton

Since Specialization
Citations

This map shows the geographic impact of John M. Easton'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 John M. Easton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Easton more than expected).

Fields of papers citing papers by John M. Easton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Easton. 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 John M. Easton. The network helps show where John M. Easton may publish in the future.

Co-authorship network of co-authors of John M. Easton

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Easton. A scholar is included among the top collaborators of John M. Easton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John M. Easton. John M. Easton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 3
4
A data model for heat-related rail buckling: implications for operations, maintenance and long-term adaptation
2
5
c-MYC drives a subset of high-risk pediatric neuroblastomas and is activated through mechanisms including enhancer hijacking and focal enhancer amplification
2
6 8
7 1
8
SCEPTICS: A Systematic Evaluation Process for Threats to Industrial Control Systems
1
9 11
10 6
11 3
12
Epstein-Barr virus serology in the control of nasopharyngeal carcinoma.
7
13 137
14 47
15 40
16 20
17 13
18 2
19 5
20 40

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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