Jon A. Oyer

784 citations
14 papers · 435 · h-index 9

Impact in

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

Papers in

    • Epigenetics and DNA Methylation 6
    • Histone Deacetylase Inhibitors Research 4
    • Genomics and Chromatin Dynamics 3
    • Protein Degradation and Inhibitors 2
    • Bioinformatics and Genomic Networks 2
    • Lung Cancer Research Studies 2

Jon A. Oyer

14 papers receiving 424 citations

Peers

Jon A. Oyer
Comparison fields: 5 of 67
  • Molecular Biology 348
  • Cancer Research 51
  • Hematology 24
  • Oncology 45
  • Developmental Neuroscience 6
Replace Jeroen Overman with:
Jeroen Overman Netherlands
Sumon Datta United States
Ian Cushman United States
Volker Schulze Germany
Yoshimitsu Taguchi Japan
Eri Asano Japan
Robert Wappel United States
Andrew Macklin Canada
Luise Stempka Germany
Steven S. Foster United Kingdom
Jon A. Oyer relative to Jeroen Overman Netherlands Jeroen Overman's profile →
Citations per field
00.5×2×3×
Jeroen Overman · 1×
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 201797
2 201969
3 201849
4 201245
5 201443
6 201839
7 200937
8 201433
9 20228
10 20256
11 20184
12 20203
13 20191
14 20201

About Jon A. Oyer

Jon A. Oyer is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Neurology and Cancer Research, having authored 14 papers that have together received 435 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Histone Deacetylase Inhibitors Research (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Lung Cancer Research Studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Molecular Biology (348 citations), Cancer Research (51 citations), Hematology (24 citations), Oncology (45 citations) and Developmental Neuroscience (6 citations). Jon A. Oyer has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Gail Mandel, Jonathan D. Licht, Christine Will, Neil L. Kelleher, Xiaoxiao Huang, Eliza C. Small, Mitchell S. Turker, Glen M. Corson, Behnam Nabet and Alberto Riva. Their work appears in journals such as Blood, PLoS ONE, Cell Reports, Oncogene and Journal of the American College of Cardiology.

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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