Michelle Barton

8.5k citations
109 papers · 5.7k indexed · h-index 46
    • Epigenetics and DNA Methylation 36
    • Genomics and Chromatin Dynamics 23
    • Cancer-related gene regulation 17
    • Ubiquitin and proteasome pathways 15
    • RNA modifications and cancer 14
    • RNA Research and Splicing 11
  • Oncology top 2%
    • Cancer-related Molecular Pathways 19
  • Hepatology top 5%
  • Immunology top 5%
    • interferon and immune responses 10

Michelle Barton

108 papers receiving 5.6k citations

Peers

Michelle Barton
Comparison fields: 5 of 130
  • Cancer Research 1.0k
  • Molecular Biology 4.6k
  • Oncology 1.0k
  • Hepatology 208
  • Immunology 519
Replace Kevin D. Brown with:
Kevin D. Brown United States
Ernesto Guccione Singapore
Kristen Jepsen United States
Iannis Talianidis Greece
Margaret Ashcroft United Kingdom
Sue-Hwa Lin United States
Akihiro Kurimasa Japan
Feng Cong United States
Cristina Montagna United States
Xiaohong Mao China
Michelle Barton relative to Kevin D. Brown United States Kevin D. Brown's profile →
Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by Michelle Barton

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Barton. 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 Michelle Barton. The network helps show where Michelle Barton may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michelle Barton, 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 Michelle Barton Line = papers co-authored together Michelle Barton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20248
3 202023
4 201973
5 20186
6 201892
7 201723
8 201623
9 201632
10 201651
11 201379
12 2011120
13 201051
14 201045
15 200934
16 200777
17 20051
18 20056
19 20009
20 1999145

About Michelle Barton

Michelle Barton is a scholar working on Molecular Biology, Oncology and Cancer Research, having authored 109 papers that have together received 5.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (36 papers), Genomics and Chromatin Dynamics (23 papers), Cancer-related Molecular Pathways (19 papers), Cancer-related gene regulation (17 papers), Ubiquitin and proteasome pathways (15 papers), RNA modifications and cancer (14 papers), RNA Research and Splicing (11 papers) and interferon and immune responses (10 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (4.6k citations) and Oncology (1.0k citations). Michelle Barton has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Abhinav K. Jain, Kendra Allton, Amber Johnson, Sabrina A. Stratton, David J. Shapiro, Kathleen C. Lee, Alison J. Crowe, Nicholas Denko, Beverly M. Emerson and Xiaobing Shi. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Nucleic Acids Research and Genes & Development.

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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