Akito Taneda
Impact in
- Endocrinology top 10%
- Plant and Fungal Interactions Research
Papers in
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- RNA and protein synthesis mechanisms 13
- RNA modifications and cancer 6
- RNA Research and Splicing 5
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- Plant Virus Research Studies 7
- Plant Disease Resistance and Genetics 3
- Plant Molecular Biology Research 3
- Co-authors
- Teruo Sano (7 shared papers)Yoshiyuki Kawazoe (7 shared papers)Mineo Senda (2 shared papers)Robert A. Owens (2 shared papers)Ying Wang (1 shared paper)Charith Raj Adkar‐Purushothama (1 shared paper)Toshio Shimizu (4 shared papers)Kiyoshi Asai (2 shared papers)
In The Last Decade
Akito Taneda
33 papers receiving 469 citations
Peers
Comparison fields: 5 of 61
- Endocrinology 65
- Horticulture 7
- Plant Science 200
- Molecular Biology 264
- Insect Science 24
Countries citing papers authored by Akito Taneda
This map shows the geographic impact of Akito Taneda'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 Akito Taneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akito Taneda more than expected).
Fields of papers citing papers by Akito Taneda
This network shows the impact of papers produced by Akito Taneda. 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 Akito Taneda. The network helps show where Akito Taneda may publish in the future.
Co-authors
The 25 scholars most cited alongside Akito Taneda, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 68 | |
| 2 | 2010 | 54 | |
| 3 | 2014 | 39 | |
| 4 | 2015 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2012 | 26 | |
| 7 | 2010 | 24 | |
| 8 | 2013 | 23 | |
| 9 | 2017 | 17 | |
| 10 | 2009 | 17 | |
| 11 | 2001 | 16 | |
| 12 | 2004 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2010 | 10 | |
| 15 | 2010 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2008 | 8 | |
| 19 | 2002 | 7 | |
| 20 | 1999 | 7 |
About Akito Taneda
Akito Taneda is a scholar working on Molecular Biology, Plant Science, Atomic and Molecular Physics, and Optics, Endocrinology and Materials Chemistry, having authored 35 papers that have together received 478 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Plant Virus Research Studies (7 papers), RNA modifications and cancer (6 papers), Advanced Chemical Physics Studies (5 papers), RNA Research and Splicing (5 papers), Plant and Fungal Interactions Research (4 papers), Plant Disease Resistance and Genetics (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Endocrinology (65 citations), Horticulture (7 citations), Plant Science (200 citations), Molecular Biology (264 citations) and Insect Science (24 citations). Akito Taneda has collaborated with scholars based in Japan, China and Czechia. Frequent co-authors include Teruo Sano, Yoshiyuki Kawazoe, Mineo Senda, Robert A. Owens, Ying Wang, Charith Raj Adkar‐Purushothama, Toshio Shimizu, Kiyoshi Asai, Kentaro Yoshida and Ryohei Terauchi. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Proceedings Genome Informatics Workshop/Genome informatics, International Journal of Molecular Sciences and Journal of General Virology.
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.