E. Minc

764 citations
8 papers · 658 · h-index 6

Impact in

    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • Cancer-related gene regulation
    • RNA modifications and cancer
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Chromosomal and Genetic Variations

Papers in

    • Genomics and Chromatin Dynamics 7
    • Protein Degradation and Inhibitors 2
    • Epigenetics and DNA Methylation 1
    • Chromosomal and Genetic Variations 3

E. Minc

8 papers receiving 650 citations

Peers

E. Minc
Comparison fields: 5 of 65
  • Molecular Biology 616
  • Plant Science 168
  • Cell Biology 41
  • Genetics 68
  • Aging 4
Replace Christine Scamps with:
Christine Scamps France
Elizabeth T. Wiles United States
Jicheng Zhao China
Nicola J. Redhead United Kingdom
Zengqi Wen China
Erwin Boutsma Netherlands
Priscilla Nga Ieng Lau Canada
Samantha Beck France
Gregory Shanower United States
Ly-Sha Ee United States
E. Minc relative to Christine Scamps France Christine Scamps's profile →
Citations per field
00.5×1.5×
Christine Scamps · 1×
Citations per year

Countries citing papers authored by E. Minc

Since Specialization
Citations

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

Fields of papers citing papers by E. Minc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside E. Minc, 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 E. Minc Line = papers co-authored together E. Minc links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1999289
2 2000136
3 200786
4 199980
5 200133
6 200128
7 20084
8
Original articles Localization and phosphorylation of HP1 proteins during the cell cycle in mammalian cells
19992

About E. Minc

E. Minc is a scholar working on Molecular Biology, Plant Science, Genetics, Neurology and Neurology, having authored 8 papers that have together received 658 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Chromosomal and Genetic Variations (3 papers), Protein Degradation and Inhibitors (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Neurological diseases and metabolism (1 paper), Epigenetics and DNA Methylation (1 paper), Microtubule and mitosis dynamics (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (616 citations), Plant Science (168 citations), Cell Biology (41 citations), Genetics (68 citations) and Aging (4 citations). E. Minc has collaborated with scholars based in France, United Kingdom and Japan. Frequent co-authors include Brigitte Buendia, Jean‐Claude Courvalin, Yves Allory, Howard J. Worman, Takeshi Urano, Robin C. Allshire, Sarah C. Trewick, Stéphanie Dutertre, Christian Jaulin and Philippe Masson. Their work appears in journals such as The EMBO Journal, Cytogenetic and Genome Research, Journal of Biological Chemistry, Chromosoma and Methods in Cell Science.

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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