Jon A. Oyer

805 citations
14 papers · 592 · h-index 10

Impact in

    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics
    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • CRISPR and Genetic Engineering

Papers in

    • Epigenetics and DNA Methylation 6
    • Protein Degradation and Inhibitors 3
    • Genomics and Chromatin Dynamics 3
    • Histone Deacetylase Inhibitors Research 3
    • Bioinformatics and Genomic Networks 2
    • Lung Cancer Research Studies 2

Jon A. Oyer

14 papers receiving 577 citations

Peers

Jon A. Oyer
Comparison fields: 5 of 68
  • Molecular Biology 466
  • Cancer Research 63
  • Hematology 44
  • Oncology 60
  • Genetics 45
Replace Danhui Ma with:
Danhui Ma China
Reem A. Malek United States
Debabrita Deb-Basu United States
Jörg Mengwasser Germany
Martina M Roos Switzerland
Steven S. Foster United Kingdom
Jeroen Paardekooper Overman Netherlands
Rashid T. Gabbasov Russia
Kaan Kaplan United States
Kimberly McClinch United States
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Citations per field
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Citations per year

Countries citing papers authored by Jon A. Oyer

Since Specialization
Citations

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

Fields of papers citing papers by Jon A. Oyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon A. Oyer. 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 Jon A. Oyer. The network helps show where Jon A. Oyer may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2013117
2 2017106
3 201975
4 201854
5 201247
6 201845
7 200941
8 201439
9 201435
10 202510
11 202310
12 20228
13 20203
14 20202

About Jon A. Oyer

Jon A. Oyer is a scholar working on Molecular Biology, Oncology, Cancer Research, Public Health, Environmental and Occupational Health and Genetics, having authored 14 papers that have together received 592 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Protein Degradation and Inhibitors (3 papers), Genomics and Chromatin Dynamics (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Research Studies (2 papers), Bioinformatics and Genomic Networks (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Molecular Biology (466 citations), Cancer Research (63 citations), Hematology (44 citations), Oncology (60 citations) and Genetics (45 citations). Jon A. Oyer has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Xiaoxiao Huang, Jonathan D. Licht, Neil L. Kelleher, Yupeng Zheng, Christine Will, Relja Popovic, Teresa Ezponda, Gail Mandel, Alexander D. MacKerell and Mitchell S. Turker. Their work appears in journals such as PLoS ONE, ChemBioChem, Scientific Reports, Cancer Discovery and Toxicological Sciences.

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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