Gregory Shanower

3.4k citations
8 papers · 537 · h-index 6

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • Cancer-related gene regulation
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms

Papers in

    • Genomics and Chromatin Dynamics 4
    • DNA Repair Mechanisms 2
    • Genomics, phytochemicals, and oxidative stress 1
    • Telomeres, Telomerase, and Senescence 3

Gregory Shanower

8 papers receiving 530 citations

Peers

Gregory Shanower
Comparison fields: 5 of 58
  • Molecular Biology 484
  • Aging 9
  • Plant Science 173
  • Cell Biology 29
  • Biological Psychiatry 4
Replace Daniel Peric‐Hupkes with:
Daniel Peric‐Hupkes Netherlands
Myriam Ruault France
E. Minc France
Chihiro Horigome Japan
Elizabeth T. Wiles United States
Kitty F. Verzijlbergen Netherlands
Peter Hsu United States
Victoria E. Cotton United Kingdom
Mireille Tittel-Elmer Switzerland
Nitika Taneja United States
Gregory Shanower relative to Daniel Peric‐Hupkes Netherlands Daniel Peric‐Hupkes's profile →
Citations per field
00.5×1.5×2.4×
Daniel Peric‐Hupkes · 1×
Citations per year

Countries citing papers authored by Gregory Shanower

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Shanower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2010191
2 2012154
3 2004107
4 201441
5 201531
6 19979
7 19922
8 20132

About Gregory Shanower

Gregory Shanower is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Geriatrics and Gerontology and Oncology, having authored 8 papers that have together received 537 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Telomeres, Telomerase, and Senescence (3 papers), DNA Repair Mechanisms (2 papers), Animal Genetics and Reproduction (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Chromosomal and Genetic Variations (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Molecular Biology (484 citations), Aging (9 citations), Plant Science (173 citations), Cell Biology (29 citations) and Biological Psychiatry (4 citations). Gregory Shanower has collaborated with scholars based in United States, Sweden and Hungary. Frequent co-authors include Michael Tolstorukov, Peter V. Kharchenko, Daniela Linder-Basso, Paul Schedl, Gary H. Karpen, Martin Müller, Vincenzo Pirrotta, Artyom A. Alekseyenko, Yuri B. Schwartz and Aki Minoda. Their work appears in journals such as Mutation Research/DNA Repair, Genome Research, Metallomics, Redox Biology and Genetics.

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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