Mari Itoh

2.5k citations
33 papers · 1.9k · h-index 16

Impact in

    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • Epigenetics and DNA Methylation
    • Planarian Biology and Electrostimulation
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
  • Cell Biology top 10%

Papers in

Mari Itoh

31 papers receiving 1.9k citations

Peers

Mari Itoh
Comparison fields: 5 of 99
  • Molecular Biology 1.5k
  • Cell Biology 199
  • Paleontology 76
  • Genetics 249
  • Plant Science 311
Replace Francesco Aniello with:
Francesco Aniello Italy
Michael C. Ellis United States
Frank Möhrlen Germany
Kyo Yamasu Japan
Kaneyasu Nishimura Japan
Annette L. Parks United States
Keisuke Nakajima Japan
Constance M. Smith United States
Meera V. Sundaram United States
Andrew J. Powell United Kingdom
Mari Itoh relative to Francesco Aniello Italy Francesco Aniello's profile →
Citations per field
00.5×2×3×4.0×
Francesco Aniello · 1×
Citations per year

Countries citing papers authored by Mari Itoh

Since Specialization
Citations

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

Fields of papers citing papers by Mari Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010449
2 2008432
3 2009250
4 2002234
5 201888
6 201780
7 200445
8 200127
9 201626
10 200924
11 200423
12 200523
13 201119
14 201215
15 201815
16 201915
17 201414
18 200514
19 202011
20 201110

About Mari Itoh

Mari Itoh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Surgery and Biochemistry, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), Epigenetics and DNA Methylation (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Zebrafish Biomedical Research Applications (3 papers), DNA Repair Mechanisms (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), RNA Research and Splicing (2 papers) and Seaweed-derived Bioactive Compounds (2 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cell Biology (199 citations), Paleontology (76 citations), Genetics (249 citations) and Plant Science (311 citations). Mari Itoh has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tyrone Ryba, David M. Gilbert, Ichiro Hiratani, Stephen Dalton, Michael Kulik, Masanori Taira, Allan J. Robins, Jinfeng Zhang, Thomas C. Schulz and Junjie Lu. Their work appears in journals such as Mechanisms of Development, Applied Biochemistry and Biotechnology, Genome Research, Phytotherapy Research and Developmental 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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