Ikuhiro Okamoto
Impact in
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Renal and related cancers
- Genetics top 0.5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Papers in
- Genetics 22
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 19
- Animal Genetics and Reproduction 6
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- Pluripotent Stem Cells Research 16
- CRISPR and Genetic Engineering 14
- Epigenetics and DNA Methylation 12
- Renal and related cancers 5
Ikuhiro Okamoto
40 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 5.7k
- Genetics 2.0k
- Cancer Research 424
- Aging 48
- Plant Science 992
Countries citing papers authored by Ikuhiro Okamoto
This map shows the geographic impact of Ikuhiro Okamoto'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 Ikuhiro Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuhiro Okamoto more than expected).
Fields of papers citing papers by Ikuhiro Okamoto
This network shows the impact of papers produced by Ikuhiro Okamoto. 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 Ikuhiro Okamoto. The network helps show where Ikuhiro Okamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Ikuhiro Okamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 40 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 33 | |
| 7 | 2018 | 211 | |
| 8 | 2017 | 47 | |
| 9 | 2017 | 85 | |
| 10 | 2017 | 36 | |
| 11 | 2016 | 123 | |
| 12 | 2014 | 129 | |
| 13 | Spatial partitioning of the regulatory landscape of the X-inactivation centre Hit paper breakdown → | 2012 | 2074 |
| 14 | 2010 | 250 | |
| 15 | 2006 | 25 | |
| 16 | 2005 | 145 | |
| 17 | 2004 | 31 | |
| 18 | Epigenetic Dynamics of Imprinted X Inactivation During Early Mouse Development Hit paper breakdown → | 2003 | 630 |
| 19 | 2003 | 45 | |
| 20 | 2002 | 89 |
About Ikuhiro Okamoto
Ikuhiro Okamoto is a scholar working on Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Plant Science, having authored 40 papers that have together received 6.3k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (19 papers), Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (14 papers), Epigenetics and DNA Methylation (12 papers), Reproductive Biology and Fertility (8 papers), Animal Genetics and Reproduction (6 papers), Chromosomal and Genetic Variations (5 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Genetics (2.0k citations), Cancer Research (424 citations), Aging (48 citations) and Plant Science (992 citations). Ikuhiro Okamoto has collaborated with scholars based in Japan, France and Germany. Frequent co-authors include Édith Heard, Edda G. Schulz, Danny Reinberg, Mitinori Saitou, Nils Blüthgen, Johannes Meisig, Arie P. Otte, Luca Giorgetti, Emmanuel Barillot and Nicolas Servant. Their work appears in journals such as Nature, Science, Developmental Cell, Cell Reports and Cytogenetic and Genome Research.
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.