Akiko Kokubu
- Cancer Research top 5%
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 5
- Genomics, phytochemicals, and oxidative stress 4
- RNA modifications and cancer 4
- Cell death mechanisms and regulation 4
- Glutathione Transferases and Polymorphisms 3
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 4
- Hepatology top 5%
- Genetics top 5%
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- Cholangiocarcinoma and Gallbladder Cancer Studies 5
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- Lung Cancer Treatments and Mutations 4
- Co-authors
- Tatsuhiro ShibataSetsuo HirohashiMasayuki YamamotoTsutomu OhtaHidenori OjimaKoji TsutaMichiie SakamotoHisao Asamura
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Gastroenterology (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Akiko Kokubu
29 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 594
- Molecular Biology 2.2k
- Oncology 649
- Hepatology 125
- Genetics 164
Countries citing papers authored by Akiko Kokubu
This map shows the geographic impact of Akiko Kokubu'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 Akiko Kokubu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Kokubu more than expected).
Fields of papers citing papers by Akiko Kokubu
This network shows the impact of papers produced by Akiko Kokubu. 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 Akiko Kokubu. The network helps show where Akiko Kokubu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiko Kokubu, 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 | 2013 | 69 | |
| 2 | 2011 | 182 | |
| 3 | 2011 | 108 | |
| 4 | 2011 | 100 | |
| 5 | 2010 | 106 | |
| 6 | 2010 | 54 | |
| 7 | 2009 | 17 | |
| 8 | 2009 | 23 | |
| 9 | Cancer related mutations in NRF2 impair its recognition by Keap1-Cul3 E3 ligase and promote malignancybreakdown → | 2008 | 602 |
| 10 | 2008 | 397 | |
| 11 | 2007 | 27 | |
| 12 | 2007 | 120 | |
| 13 | 2007 | 62 | |
| 14 | 2006 | 14 | |
| 15 | 2006 | 44 | |
| 16 | 2005 | 57 | |
| 17 | 2004 | 71 | |
| 18 | 2003 | 129 | |
| 19 | 2002 | 205 | |
| 20 | 1999 | 151 |
About Akiko Kokubu
Akiko Kokubu is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 29 papers that have together received 3.0k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), RNA modifications and cancer (4 papers), Cell death mechanisms and regulation (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Glutathione Transferases and Polymorphisms (3 papers). The work is most often cited by research in Cancer Research (594 citations), Molecular Biology (2.2k citations) and Oncology (649 citations). Akiko Kokubu has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Tatsuhiro Shibata, Setsuo Hirohashi, Masayuki Yamamoto, Tsutomu Ohta, Hidenori Ojima, Koji Tsuta, Michiie Sakamoto, Hisao Asamura, Kit I. Tong and Masahiro Gotoh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.
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.