Matthew L. Eaton
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics 9
- DNA Repair Mechanisms 5
- Epigenetics and DNA Methylation 5
- Protein Degradation and Inhibitors 3
- RNA Research and Splicing 3
- Genetics top 10%
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- Acute Myeloid Leukemia Research 3
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- Cancer-related Molecular Pathways 4
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- Advanced Breast Cancer Therapies 3
- Co-authors
- David M. MacAlpineKyriaki GalaniSukhyun KangStephen P. BellManolis KellisJoseph A. PrinzPeter V. KharchenkoHeather K. MacAlpine
- Cited by
- Molecular BiologyAgingGenetics
- Partner nations
- United StatesChinaIndia
In The Last Decade
Matthew L. Eaton
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 1.2k
- Aging 17
- Genetics 233
- Cancer Research 93
- Hematology 62
Countries citing papers authored by Matthew L. Eaton
This map shows the geographic impact of Matthew L. Eaton'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 Matthew L. Eaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew L. Eaton more than expected).
Fields of papers citing papers by Matthew L. Eaton
This network shows the impact of papers produced by Matthew L. Eaton. 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 Matthew L. Eaton. The network helps show where Matthew L. Eaton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew L. Eaton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 3 | |
| 8 | 2017 | 89 | |
| 9 | 2017 | 5 | |
| 10 | BRCA1 Recruitment to Transcriptional Pause Sites Is Required for R-Loop-Driven DNA Damage Repairbreakdown → | 2015 | 351 |
| 11 | 2015 | 48 | |
| 12 | 2014 | 76 | |
| 13 | 2012 | 2 | |
| 14 | 2012 | 3 | |
| 15 | 2011 | 72 | |
| 16 | 2010 | 121 | |
| 17 | 2010 | 141 | |
| 18 | 2010 | 288 | |
| 19 | 2010 | 64 | |
| 20 | 2006 | 6 |
About Matthew L. Eaton
Matthew L. Eaton is a scholar working on Hematology, Cancer Research, Molecular Biology, Oncology and Genetics, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), DNA Repair Mechanisms (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related Molecular Pathways (4 papers), Acute Myeloid Leukemia Research (3 papers), Advanced Breast Cancer Therapies (3 papers), Protein Degradation and Inhibitors (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (17 citations), Genetics (233 citations), Cancer Research (93 citations) and Hematology (62 citations). Matthew L. Eaton has collaborated with scholars based in United States, China and India. Frequent co-authors include David M. MacAlpine, Kyriaki Galani, Sukhyun Kang, Stephen P. Bell, Manolis Kellis, Joseph A. Prinz, Peter V. Kharchenko, Heather K. MacAlpine, Kristine McKinney and Luca Pinello. Their work appears in journals such as Journal of Clinical Oncology, Blood, Genes & Development, Genome Research and Molecular and Cellular Biology.
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.