E. Minc

765 citations
8 papers · 661 · 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
    • DNA Repair Mechanisms 1
    • Cancer-related gene regulation 1
    • Chromosomal and Genetic Variations 3

E. Minc

8 papers receiving 653 citations

Peers

E. Minc
Comparison fields: 5 of 66
  • Molecular Biology 592
  • Plant Science 164
  • Cell Biology 39
  • Genetics 63
  • Aging 4
Replace Jicheng Zhao with:
Jicheng Zhao China
Elizabeth T. Wiles United States
Nicola J. Redhead United Kingdom
Erwin Boutsma Netherlands
Mónica Pérez-Alegre Spain
Michael A. Kotarski United States
Priscilla Nga Ieng Lau Canada
Gregory Shanower United States
Daniel Peric‐Hupkes Netherlands
Ly-Sha Ee United States
E. Minc relative to Jicheng Zhao China Jicheng Zhao's profile →
Citations per field
00.5×1.5×
Jicheng Zhao · 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 2000137
3 200788
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 661 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Chromosomal and Genetic Variations (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Protein Degradation and Inhibitors (2 papers), DNA Repair Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Molecular Biology (592 citations), Plant Science (164 citations), Cell Biology (39 citations), Genetics (63 citations) and Aging (4 citations). E. Minc has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Jean‐Claude Courvalin, Brigitte Buendia, Yves Allory, Howard J. Worman, Takeshi Urano, Robin C. Allshire, Sarah C. Trewick, Christian Jaulin, Philippe Masson and Mounira Amor-Guéret. 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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