Akiko Kokubu
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Co-authors
- Tatsuhiro ShibataSetsuo HirohashiMasayuki YamamotoTsutomu OhtaHidenori OjimaKoji TsutaMichiie SakamotoHisao Asamura
- Topics
- PI3K/AKT/mTOR signaling in cancer (5 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers)Genomics, phytochemicals, and oxidative stress (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryGastroenterology
- 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
- Molecular Biology 2.2k
- Oncology 649
- Cancer Research 594
- Pulmonary and Respiratory Medicine 404
- Surgery 375
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 of co-authors of Akiko Kokubu
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Kokubu. A scholar is included among the top collaborators of Akiko Kokubu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akiko Kokubu. Akiko Kokubu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 69 | |
| 2 | 182 | |
| 3 | 108 | |
| 4 | 100 | |
| 5 | 106 | |
| 6 | 54 | |
| 7 | 17 | |
| 8 | 23 | |
| 9 | Cancer related mutations in NRF2 impair its recognition by Keap1-Cul3 E3 ligase and promote malignancybreakdown → | 602 |
| 10 | 397 | |
| 11 | 27 | |
| 12 | 120 | |
| 13 | 62 | |
| 14 | 14 | |
| 15 | 44 | |
| 16 | 57 | |
| 17 | 71 | |
| 18 | 129 | |
| 19 | 205 | |
| 20 | 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) and Genomics, phytochemicals, and oxidative stress (4 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.