Daisuke Ieda
Impact in
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- Genetics and Neurodevelopmental Disorders
- Genomics and Rare Diseases
- Genetic Syndromes and Imprinting
- Genomic variations and chromosomal abnormalities
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- Epigenetics and DNA Methylation
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- Epigenetics and DNA Methylation 4
- RNA regulation and disease 4
- RNA Research and Splicing 2
- Genetics 11
- Genetic Syndromes and Imprinting 6
- Genetics and Neurodevelopmental Disorders 5
- Genomics and Rare Diseases 3
- Neurogenetic and Muscular Disorders Research 2
- Co-authors
- Shinji Saitoh (16 shared papers)Ikumi Hori (13 shared papers)Ayako Hattori (14 shared papers)Yutaka Negishi (12 shared papers)Y. Nakamura (8 shared papers)Kei Ohashi (6 shared papers)Takuya Hiraide (1 shared paper)Mitsuko Nakashima (2 shared papers)
- Journals
- Brain and Development (7 papers)Human Genetics and Genomics Advances (1 paper)Orphanet Journal of Rare Diseases (1 paper)Epilepsia Open (1 paper)Journal of Medical Genetics (1 paper)
- Partner nations
- Japan
In The Last Decade
Daisuke Ieda
15 papers receiving 164 citations
Peers
Comparison fields: 5 of 39
- Genetics 101
- Molecular Biology 103
- Clinical Biochemistry 9
- Psychiatry and Mental health 16
- Genetics 11
Countries citing papers authored by Daisuke Ieda
This map shows the geographic impact of Daisuke Ieda'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 Daisuke Ieda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Ieda more than expected).
Fields of papers citing papers by Daisuke Ieda
This network shows the impact of papers produced by Daisuke Ieda. 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 Daisuke Ieda. The network helps show where Daisuke Ieda may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Ieda, 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 | 2019 | 26 | |
| 2 | 2019 | 21 | |
| 3 | 2017 | 20 | |
| 4 | 2017 | 19 | |
| 5 | 2017 | 18 | |
| 6 | 2018 | 16 | |
| 7 | 2018 | 12 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2019 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 0 |
About Daisuke Ieda
Daisuke Ieda is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Genetics and Surgery, having authored 16 papers that have together received 164 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Epigenetics and DNA Methylation (4 papers), RNA regulation and disease (4 papers), Genomics and Rare Diseases (3 papers), Prenatal Screening and Diagnostics (2 papers), RNA Research and Splicing (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Genetics (101 citations), Molecular Biology (103 citations), Clinical Biochemistry (9 citations), Psychiatry and Mental health (16 citations) and Genetics (11 citations). Daisuke Ieda has collaborated with scholars based in Japan. Frequent co-authors include Shinji Saitoh, Ikumi Hori, Ayako Hattori, Yutaka Negishi, Y. Nakamura, Kei Ohashi, Takuya Hiraide, Mitsuko Nakashima, Hirotomo Saitsu and Kazuhiko Nakabayashi. Their work appears in journals such as Brain and Development, Human Genetics and Genomics Advances, Orphanet Journal of Rare Diseases, Epilepsia Open and Journal of Medical Genetics.
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.