T. Phippen

1.4k citations
3 papers · 271 · h-index 3

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Cancer-related gene regulation
    • CRISPR and Genetic Engineering
    • Ubiquitin and proteasome pathways
    • Kruppel-like factors research
    • RNA Research and Splicing

Papers in

    • Genomics and Chromatin Dynamics 2
    • Cancer-related gene regulation 1
    • Kruppel-like factors research 1
    • Epigenetics and DNA Methylation 1
    • Protein Degradation and Inhibitors 1
    • Histone Deacetylase Inhibitors Research 1
    • Ubiquitin and proteasome pathways 1
    • Genetics and Neurodevelopmental Disorders 1

T. Phippen

3 papers receiving 267 citations

Peers

T. Phippen
Comparison fields: 5 of 35
  • Aging 91
  • Molecular Biology 256
  • Genetics 47
  • Oncology 22
  • Plant Science 28
Replace Ahmet R. Ozturk with:
Ahmet R. Ozturk United States
Nóra Weinhardt Hungary
Natallia Kalinava United States
Michelle Kudron United States
Laura L. Mays Hoopes United States
Roberto Perales United States
Emily L. Petty United States
Eva Zeiser United Kingdom
Christopher J. Wedeles Canada
Anaïs Poulet France
T. Phippen relative to Ahmet R. Ozturk United States Ahmet R. Ozturk's profile →
Citations per field
00.5×12×
Ahmet R. Ozturk · 1×
Citations per year

Countries citing papers authored by T. Phippen

Since Specialization
Citations

This map shows the geographic impact of T. Phippen'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 T. Phippen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Phippen more than expected).

Fields of papers citing papers by T. Phippen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside T. Phippen, 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 T. Phippen Line = papers co-authored together T. Phippen links everyone, so they are left out of the graph.

All Works

About T. Phippen

T. Phippen is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 271 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (1 paper), Kruppel-like factors research (1 paper), Epigenetics and DNA Methylation (1 paper), Protein Degradation and Inhibitors (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Aging (91 citations), Molecular Biology (256 citations), Genetics (47 citations), Oncology (22 citations) and Plant Science (28 citations). T. Phippen has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Susan M. Parkhurst, Jason D. Lieb, Hiroshi Kimurâ, Sevinç Ercan, Wenchao Wang, Thea A. Egelhofer, Andreas Rechtsteiner, Teruaki Takasaki, Susan Strome and Andrea L. Sweigart. Their work appears in journals such as Journal of Biological Chemistry, PLoS Genetics and The EMBO Journal.

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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