Akihiro Yamamoto
- Organic Chemistry top 1%
- Molecular Biology top 10%
- Plant Science top 5%
- Inorganic Chemistry top 2%
- Immunology top 10%
- Co-authors
- Tamio HayashiYoshihiko ItoToshiya HagiharaYuichi SaekiEriko NishiokaHitoshi MiuraKazunori YanagiIe‐Sung Shim
- Topics
- Legume Nitrogen Fixing Symbiosis (20 papers)Asymmetric Synthesis and Catalysis (18 papers)Nematode management and characterization studies (14 papers)
- Partner nations
- JapanUnited StatesPhilippines
In The Last Decade
Akihiro Yamamoto
188 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 156
- Organic Chemistry 1.4k
- Molecular Biology 1.2k
- Plant Science 617
- Inorganic Chemistry 616
- Immunology 381
Countries citing papers authored by Akihiro Yamamoto
This map shows the geographic impact of Akihiro Yamamoto'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 Akihiro Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Yamamoto more than expected).
Fields of papers citing papers by Akihiro Yamamoto
This network shows the impact of papers produced by Akihiro Yamamoto. 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 Akihiro Yamamoto. The network helps show where Akihiro Yamamoto may publish in the future.
Co-authorship network of co-authors of Akihiro Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Yamamoto. A scholar is included among the top collaborators of Akihiro Yamamoto 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 Akihiro Yamamoto. Akihiro Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | A Sufficient Condition for Learning Unbounded Unions of Languages with Refinement Operators. | 0 |
| 8 | Discovering causal structures in binary exclusive-or skew acyclic models | 3 |
| 9 | 0 | |
| 10 | 17 | |
| 11 | 38 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | Inductive Logic Programming: From Logic of Discovery to Machine Learning | 2 |
| 17 | Learning Logic Programs Using Definite Equality Theories as Background Knowledge | 1 |
| 18 | Extracorporeal Shock Wave Lithotripsy for the Treatment of Staghorn Calculi in 72 Patients | 1 |
| 19 | 9 | |
| 20 | A Theoretical Combination of SLD-Resolution and Narrowing. | 3 |
About Akihiro Yamamoto
Akihiro Yamamoto is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Plant Science, having authored 202 papers that have together received 3.8k indexed citations. Recurring topics across this work include Legume Nitrogen Fixing Symbiosis (20 papers), Asymmetric Synthesis and Catalysis (18 papers) and Nematode management and characterization studies (14 papers). The work is most often cited by research in Organic Chemistry (1.4k citations), Inorganic Chemistry (616 citations) and Molecular Biology (1.2k citations). Akihiro Yamamoto has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Tamio Hayashi, Yoshihiko Ito, Toshiya Hagihara, Yuichi Saeki, Eriko Nishioka, Hitoshi Miura, Kazunori Yanagi, Ie‐Sung Shim, J Y Homma and Taichi Kano. Their work appears in journals such as Journal of the American Chemical Society, Journal of Neuroscience and PLoS ONE.
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.