Hiroshi Akiyama
- Molecular Biology top 5%
- Plant Science top 2%
- Food Science top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Yukihiro GodaMasatake TOYODAReiko TeshimaSatoru NemotoTamio MaitaniAkihiro HinoTomomasa KandaToshihiko Shoji
- Topics
- Genetically Modified Organisms Research (51 papers)CRISPR and Genetic Engineering (39 papers)Pesticide Residue Analysis and Safety (26 papers)
- Partner nations
- JapanUnited StatesSlovakia
In The Last Decade
Hiroshi Akiyama
216 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 157
- Molecular Biology 1.3k
- Plant Science 1.2k
- Food Science 496
- Surgery 489
- Pulmonary and Respiratory Medicine 426
Countries citing papers authored by Hiroshi Akiyama
This map shows the geographic impact of Hiroshi Akiyama'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 Hiroshi Akiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Akiyama more than expected).
Fields of papers citing papers by Hiroshi Akiyama
This network shows the impact of papers produced by Hiroshi Akiyama. 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 Hiroshi Akiyama. The network helps show where Hiroshi Akiyama may publish in the future.
Co-authorship network of co-authors of Hiroshi Akiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Akiyama. A scholar is included among the top collaborators of Hiroshi Akiyama 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 Hiroshi Akiyama. Hiroshi Akiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 20 | |
| 11 | 17 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | Comparative study of four methods to extract genomic DNA for quantification of genetically modified maize by a real-time polymerase chain reaction | 0 |
| 16 | 1 | |
| 17 | Evaluation of visual function in advanced glaucoma using a low vision evaluator stimulated with red, blue and green lights | 2 |
| 18 | 17 | |
| 19 | 1 | |
| 20 | 3 |
About Hiroshi Akiyama
Hiroshi Akiyama is a scholar working on Immunology and Allergy, Food Science and Analytical Chemistry, having authored 228 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (51 papers), CRISPR and Genetic Engineering (39 papers) and Pesticide Residue Analysis and Safety (26 papers). The work is most often cited by research in Biochemistry (343 citations), Immunology and Allergy (342 citations) and Plant Science (1.2k citations). Hiroshi Akiyama has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Yukihiro Goda, Masatake TOYODA, Reiko Teshima, Satoru Nemoto, Tamio Maitani, Akihiro Hino, Tomomasa Kanda, Toshihiko Shoji, Masahiko Tsurumaru and Yasuyuki Ohtake. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Annals of Surgery.
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.