Anna Mattout

1.5k citations
13 papers · 1.1k · h-index 13

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • DNA Repair Mechanisms

Papers in

    • RNA Research and Splicing 9
    • Nuclear Structure and Function 8
    • Genomics and Chromatin Dynamics 7
    • Pluripotent Stem Cells Research 4
    • CRISPR and Genetic Engineering 3
    • Epigenetics and DNA Methylation 2
    • Histone Deacetylase Inhibitors Research 1
    • Skin and Cellular Biology Research 1

Anna Mattout

13 papers receiving 1.1k citations

Peers

Anna Mattout
Comparison fields: 5 of 69
  • Aging 93
  • Molecular Biology 1.0k
  • Cell Biology 137
  • Endocrine and Autonomic Systems 18
  • Physiology 63
Replace Devon Chandler‐Brown with:
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Anna Mattout relative to Devon Chandler‐Brown United States Devon Chandler‐Brown's profile →
Citations per field
00.5×3.6×
Devon Chandler‐Brown · 1×
Citations per year

Countries citing papers authored by Anna Mattout

Since Specialization
Citations

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

Fields of papers citing papers by Anna Mattout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2005218
2 2006135
3 2003113
4 2011108
5 2010101
6 201189
7 200782
8 200663
9 201161
10 201556
11 201544
12 202036
13 202014

About Anna Mattout

Anna Mattout is a scholar working on Molecular Biology, Cell Biology, Aging, Infectious Diseases and Organic Chemistry, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Nuclear Structure and Function (8 papers), Genomics and Chromatin Dynamics (7 papers), Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (2 papers), Histone Deacetylase Inhibitors Research (1 paper) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Aging (93 citations), Molecular Biology (1.0k citations), Cell Biology (137 citations), Endocrine and Autonomic Systems (18 citations) and Physiology (63 citations). Anna Mattout has collaborated with scholars based in Israel, Switzerland and United States. Frequent co-authors include Yosef Gruenbaum, Eran Meshorer, Susan M. Gasser, Alva Biran, Yaron Dayani, Stephen A. Adam, Naomi Feinstein, Thomas Dechat, Jun Liu and Robert D. Goldman. Their work appears in journals such as Current Opinion in Cell Biology, Genome biology, Proceedings of the National Academy of Sciences, Genes & Development and Nature Cell Biology.

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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