Jun Takai
Impact in
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- Genomics, phytochemicals, and oxidative stress
- Glutathione Transferases and Polymorphisms
- Epigenetics and DNA Methylation
- RNA modifications and cancer
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- Mast cells and histamine
- Immune cells in cancer
Papers in
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- Epigenetics and DNA Methylation 9
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 3
- Congenital heart defects research 3
- Renal and related cancers 2
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- Mast cells and histamine 4
- Co-authors
- Masayuki Yamamoto (15 shared papers)Takashi Moriguchi (10 shared papers)Hironori Satoh (4 shared papers)Masahito Ebina (2 shared papers)Takashi Moriguchi (11 shared papers)Lei Yu (7 shared papers)Mikiko Suzuki (6 shared papers)Keiko Taguchi (1 shared paper)
- Journals
- Molecular and Cellular Biology (8 papers)Genes to Cells (4 papers)iScience (2 papers)Journal of Biological Chemistry (2 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Jun Takai
22 papers receiving 714 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 534
- Immunology 138
- Cancer Research 91
- Nephrology 36
- Hematology 56
Countries citing papers authored by Jun Takai
This map shows the geographic impact of Jun Takai'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 Takai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Takai more than expected).
Fields of papers citing papers by Jun Takai
This network shows the impact of papers produced by Jun Takai. 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 Takai. The network helps show where Jun Takai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Takai, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 203 | |
| 2 | 2010 | 165 | |
| 3 | 2013 | 63 | |
| 4 | 2014 | 35 | |
| 5 | 2020 | 35 | |
| 6 | 2013 | 31 | |
| 7 | 2011 | 28 | |
| 8 | 2015 | 28 | |
| 9 | 2012 | 21 | |
| 10 | 2012 | 21 | |
| 11 | 2021 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2015 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2021 | 5 |
About Jun Takai
Jun Takai is a scholar working on Molecular Biology, Immunology, Physiology, Surgery and Genetics, having authored 23 papers that have together received 720 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Mast cells and histamine (4 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers), Congenital heart defects research (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Lymphatic System and Diseases (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Molecular Biology (534 citations), Immunology (138 citations), Cancer Research (91 citations), Nephrology (36 citations) and Hematology (56 citations). Jun Takai has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Masayuki Yamamoto, Takashi Moriguchi, Hironori Satoh, Masahito Ebina, Takashi Moriguchi, Lei Yu, Mikiko Suzuki, Keiko Taguchi, Jonathan Maher and Takafumi Suzuki. Their work appears in journals such as Molecular and Cellular Biology, Genes to Cells, iScience, Journal of Biological Chemistry and Scientific Reports.
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.