I. Hatada

889 citations
10 papers · 700 · h-index 7

Impact in

  • Genetics top 5%
    • Genetic Syndromes and Imprinting
    • Genetics and Neurodevelopmental Disorders
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • Cancer-related gene regulation

Papers in

    • Epigenetics and DNA Methylation 5
    • Genomics and Chromatin Dynamics 2
    • Genomics and Phylogenetic Studies 1
    • Gene expression and cancer classification 1
    • Genetic Syndromes and Imprinting 5

I. Hatada

10 papers receiving 683 citations

Peers

I. Hatada
Comparison fields: 5 of 62
  • Genetics 352
  • Molecular Biology 558
  • Pediatrics, Perinatology and Child Health 124
  • Cancer Research 83
  • Oncology 45
Replace Janet P. Sanford with:
Janet P. Sanford United States
Benjamin E. Decato United States
Muhammad B. Ekram United States
Malik Kahli France
Kênia Balbi El-Jaick Brazil
E Emison United States
Andrea Corsinotti Switzerland
Quan Chen China
Kathryn Woodfine United Kingdom
I. Hatada relative to Janet P. Sanford United States Janet P. Sanford's profile →
Citations per field
00.5×1.5×2.1×
Janet P. Sanford · 1×
Citations per year

Countries citing papers authored by I. Hatada

Since Specialization
Citations

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

Fields of papers citing papers by I. Hatada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1991265
2 1996117
3 2001111
4 200169
5 199766
6 198649
7
Genomic analysis of human hepatocellular carcinomas using Restriction Landmark Genomic Scanning.
199315
8 20005
9
The lca as an onco-fetal gene: its expression in human fetal liver.
19882
10
[Restriction landmark genomic scanning (RLGS) method and its application].
19931

About I. Hatada

I. Hatada is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Cancer Research and Surgery, having authored 10 papers that have together received 700 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genetic Syndromes and Imprinting (5 papers), Prenatal Screening and Diagnostics (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Phylogenetic Studies (1 paper), Gene expression and cancer classification (1 paper) and Gestational Trophoblastic Disease Studies (1 paper). The work is most often cited by research in Genetics (352 citations), Molecular Biology (558 citations), Pediatrics, Perinatology and Child Health (124 citations), Cancer Research (83 citations) and Oncology (45 citations). I. Hatada has collaborated with scholars based in Japan, Austria and France. Frequent co-authors include Yoshihide Hayashizaki, H. Komatsubara, Shinji Hirotsune, T Mukai, Richard I. Gregory, Laura P. O’Neill, Robert Feil, Sanjeev Khosla, Bryan M. Turner and Colin A. Johnson. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Biochemistry, Human Molecular Genetics, Human Genetics and Molecular and Cellular 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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