Jun Ueda
Impact in
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Cancer Research top 5%
Papers in
-
- Epigenetics and DNA Methylation 16
- Genomics and Chromatin Dynamics 9
- Cancer-related gene regulation 8
- CRISPR and Genetic Engineering 8
- Pluripotent Stem Cells Research 7
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- interferon and immune responses 5
- Co-authors
- Yoichi Shinkai (7 shared papers)Makoto Tachibana (5 shared papers)Mikiko Fukuda (2 shared papers)Tsutomu Ohta (2 shared papers)Naoki Takeda (2 shared papers)Hiroyuki Kato (3 shared papers)Kenji Sugimoto (1 shared paper)Hiroyuki Niida (1 shared paper)
- Journals
- Scientific Reports (4 papers)Genes & Development (3 papers)PLoS ONE (3 papers)Animal Reproduction Science (2 papers)Animal Genetics (2 papers)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Jun Ueda
47 papers receiving 3.4k citations
Jun Ueda's Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.9k
- Cancer Research 275
- Genetics 547
- Aging 26
- Immunology 263
Countries citing papers authored by Jun Ueda
This map shows the geographic impact of Jun Ueda'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 Jun Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ueda more than expected).
Fields of papers citing papers by Jun Ueda
This network shows the impact of papers produced by Jun Ueda. 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 Jun Ueda. The network helps show where Jun Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ueda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | G9a histone methyltransferase plays a dominant role in euchromatic histone H3 lysine 9 methylation and is essential for early embryogenesis Hit paper breakdown → | 2002 | 1037 |
| 2 | Histone methyltransferases G9a and GLP form heteromeric complexes and are both crucial for methylation of euchromatin at H3-K9 Hit paper breakdown → | 2005 | 675 |
| 3 | 2008 | 354 | |
| 4 | 2013 | 244 | |
| 5 | 2013 | 150 | |
| 6 | 2013 | 145 | |
| 7 | 2006 | 105 | |
| 8 | 2013 | 88 | |
| 9 | 2014 | 50 | |
| 10 | 2017 | 49 | |
| 11 | 2016 | 49 | |
| 12 | 2012 | 44 | |
| 13 | 2014 | 43 | |
| 14 | 2023 | 42 | |
| 15 | 2006 | 38 | |
| 16 | 2017 | 30 | |
| 17 | 2017 | 23 | |
| 18 | 2021 | 21 | |
| 19 | 2007 | 21 | |
| 20 | 2010 | 21 |
About Jun Ueda
Jun Ueda is a scholar working on Molecular Biology, Immunology, Public Health, Environmental and Occupational Health, Cancer Research and Artificial Intelligence, having authored 49 papers that have together received 3.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Genomics and Chromatin Dynamics (9 papers), Cancer-related gene regulation (8 papers), CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (7 papers), Reproductive Biology and Fertility (6 papers), interferon and immune responses (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Cancer Research (275 citations), Genetics (547 citations), Aging (26 citations) and Immunology (263 citations). Jun Ueda has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Yoichi Shinkai, Makoto Tachibana, Mikiko Fukuda, Tsutomu Ohta, Naoki Takeda, Hiroyuki Kato, Kenji Sugimoto, Hiroyuki Niida, Masami Nozaki and Misao Ohki. Their work appears in journals such as Scientific Reports, Genes & Development, PLoS ONE, Animal Reproduction Science and Animal 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.