Akira Kanno
- Molecular Biology top 2%
- Plant Science top 0.5%
- Ecology, Evolution, Behavior and Systematics top 1%
- Genetics top 5%
- Cell Biology top 10%
- Co-authors
- Toshiaki KameyaHeinz SaedlerGünter TheißenAtsushi HiraiAnnette BeckerJan T. KimThomas MünsterKai‐Uwe Winter
- Topics
- Plant Reproductive Biology (36 papers)Plant Molecular Biology Research (36 papers)Phytochemical Studies and Bioactivities (27 papers)
- Partner nations
- JapanSouth KoreaChina
In The Last Decade
Akira Kanno
130 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 3.6k
- Plant Science 2.8k
- Ecology, Evolution, Behavior and Systematics 915
- Genetics 430
- Cell Biology 148
Countries citing papers authored by Akira Kanno
This map shows the geographic impact of Akira Kanno'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 Akira Kanno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Kanno more than expected).
Fields of papers citing papers by Akira Kanno
This network shows the impact of papers produced by Akira Kanno. 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 Akira Kanno. The network helps show where Akira Kanno may publish in the future.
Co-authorship network of co-authors of Akira Kanno
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Kanno. A scholar is included among the top collaborators of Akira Kanno 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 Akira Kanno. Akira Kanno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 45 | |
| 5 | 5 | |
| 6 | A quick method of distinguishing between male and super-male asparagus [Asparagus officinalis] by real-time PCR | 1 |
| 7 | 29 | |
| 8 | Molecular Identification of Tiandong(天冬) Derived from Asparagus cochinchinensis(Lour.) Merrill by Two Typical Deletions in cpDNA | 2 |
| 9 | 51 | |
| 10 | 13 | |
| 11 | 88 | |
| 12 | 129 | |
| 13 | Neuromagnetic localization of spike discharges correlates with postoperative seizure outcome | 1 |
| 14 | 39 | |
| 15 | Neuromagnetic localization of the primary sensory cortex of the tongue | 1 |
| 16 | 7 | |
| 17 | 46 | |
| 18 | 69 | |
| 19 | 31 | |
| 20 | The complete sequence of the rice (Oryza sativa) chloroplast genome: Intermolecular recombination between distinct tRNA genes accounts for a major plastid DNA inversion during the evolution of the cerealsbreakdown → | 970 |
About Akira Kanno
Akira Kanno is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 135 papers that have together received 4.4k indexed citations. Recurring topics across this work include Plant Reproductive Biology (36 papers), Plant Molecular Biology Research (36 papers) and Phytochemical Studies and Bioactivities (27 papers). The work is most often cited by research in Plant Science (2.8k citations), Molecular Biology (3.6k citations) and Ecology, Evolution, Behavior and Systematics (915 citations). Akira Kanno has collaborated with scholars based in Japan, South Korea and China. Frequent co-authors include Toshiaki Kameya, Heinz Saedler, Günter Theißen, Atsushi Hirai, Annette Becker, Jan T. Kim, Thomas Münster, Kai‐Uwe Winter, T. Kameya and Takeaki Ozawa. Their work appears in journals such as Angewandte Chemie International Edition, PLoS ONE and NeuroImage.
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.