Akiko Tanaka
- Molecular Biology top 5%
- RNA Research and Splicing 13
- Biochemical and Molecular Research 10
- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 7
- Protein Structure and Dynamics 6
- Ubiquitin and proteasome pathways 6
- Plant Science top 5%
- Epidemiology top 5%
- Trypanosoma species research and implications 11
- Cell Biology top 10%
- Physiology top 10%
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- Enzyme Structure and Function 14
- Co-authors
- Shigeyuki YokoyamaMikako ShirouzuT. KigawaTakashi YabukiTakayoshi MatsudaTakaho TeradaTeruki HonmaMakoto Inoue
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akiko Tanaka
102 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 2.3k
- Plant Science 688
- Epidemiology 614
- Cell Biology 206
- Physiology 318
Countries citing papers authored by Akiko Tanaka
This map shows the geographic impact of Akiko Tanaka'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 Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Tanaka more than expected).
Fields of papers citing papers by Akiko Tanaka
This network shows the impact of papers produced by Akiko Tanaka. 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 Tanaka. The network helps show where Akiko Tanaka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiko Tanaka, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 23 | |
| 10 | 2019 | 5 | |
| 11 | 2017 | 13 | |
| 12 | 2017 | 8 | |
| 13 | 2010 | 12 | |
| 14 | 2009 | 42 | |
| 15 | 2007 | 44 | |
| 16 | 2007 | 79 | |
| 17 | 2005 | 2 | |
| 18 | Integration of proviral sequences, but not at the common integration sites of the FGF8 locus, in an androgen-dependent mouse mammary Shionogi carcinoma. | 2000 | 6 |
| 19 | 1991 | 8 | |
| 20 | 1990 | 51 |
About Akiko Tanaka
Akiko Tanaka is a scholar working on Molecular Biology, Toxicology and Aging, having authored 106 papers that have together received 3.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (14 papers), RNA Research and Splicing (13 papers), Trypanosoma species research and implications (11 papers), Biochemical and Molecular Research (10 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (7 papers), Protein Structure and Dynamics (6 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Plant Science (688 citations) and Epidemiology (614 citations). Akiko Tanaka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shigeyuki Yokoyama, Mikako Shirouzu, T. Kigawa, Takashi Yabuki, Takayoshi Matsuda, Takaho Terada, Teruki Honma, Makoto Inoue, Tetsuo Nagano and Masaaki Aoki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.