Akio Miyama
- Endocrinology top 1%
- Immunology top 10%
- Genetics top 10%
- Molecular Biology
- Infectious Diseases top 10%
- Co-authors
- Keinosuke OkamotoTakashi InoueT MiwataniTakao TsujiToshio TsujiTakuya HondaToshifumi TakaoNoriko Tominaga
- Topics
- Escherichia coli research studies (17 papers)Yersinia bacterium, plague, ectoparasites research (13 papers)Pharmacological Effects of Natural Compounds (10 papers)
- Cited by
- EndocrinologyImmunologyPharmacology
- Journals
- Journal of Biological ChemistryBiochemical and Biophysical Research CommunicationsFEBS Letters
- Partner nations
- JapanUnited StatesPhilippines
In The Last Decade
Akio Miyama
55 papers receiving 698 citations
Peers
Comparison fields: 5 of 65
- Endocrinology 317
- Immunology 279
- Genetics 240
- Molecular Biology 157
- Infectious Diseases 138
Countries citing papers authored by Akio Miyama
This map shows the geographic impact of Akio Miyama'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 Akio Miyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Miyama more than expected).
Fields of papers citing papers by Akio Miyama
This network shows the impact of papers produced by Akio Miyama. 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 Akio Miyama. The network helps show where Akio Miyama may publish in the future.
Co-authorship network of co-authors of Akio Miyama
This figure shows the co-authorship network connecting the top 25 collaborators of Akio Miyama. A scholar is included among the top collaborators of Akio Miyama 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 Akio Miyama. Akio Miyama 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 | 4 | |
| 3 | 26 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 12 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 38 | |
| 14 | 3 | |
| 15 | 21 | |
| 16 | 6 | |
| 17 | 20 | |
| 18 | Trypsin-activated complex of human factor B with cobra venom factor (CVF), cleaving C3 and C5 and generating a lytic factor for unsensitized guinea pig erythrocytes. II. Physico-chemical characterization of the activated complex. | 3 |
| 19 | 1 | |
| 20 | 14 |
About Akio Miyama
Akio Miyama is a scholar working on Endocrinology, Pharmacology and Immunology, having authored 57 papers that have together received 775 indexed citations. Recurring topics across this work include Escherichia coli research studies (17 papers), Yersinia bacterium, plague, ectoparasites research (13 papers) and Pharmacological Effects of Natural Compounds (10 papers). The work is most often cited by research in Endocrinology (317 citations), Immunology (279 citations) and Pharmacology (87 citations). Akio Miyama has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Keinosuke Okamoto, Takashi Inoue, Takashi Inoue, T Miwatani, Takao Tsuji, Toshio Tsuji, Takuya Honda, Toshifumi Takao, Noriko Tominaga and Saburo Hara. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and FEBS Letters.
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.