T Miyamoto
- Food Science top 2%
- Animal Science and Zoology top 2%
- Immunology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Tsuneo FUKATAKazumi SasaiE. BabaAkira ArakawaEishi BabaTakafumi HorieG. S. K. WithanageH. S. Lillehoj
- Topics
- Animal Nutrition and Physiology (9 papers)Salmonella and Campylobacter epidemiology (8 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
In The Last Decade
T Miyamoto
48 papers receiving 850 citations
Peers
Comparison fields: 5 of 84
- Food Science 336
- Animal Science and Zoology 296
- Immunology 225
- Molecular Biology 215
- Radiology, Nuclear Medicine and Imaging 123
Countries citing papers authored by T Miyamoto
This map shows the geographic impact of T Miyamoto'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 T Miyamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Miyamoto more than expected).
Fields of papers citing papers by T Miyamoto
This network shows the impact of papers produced by T Miyamoto. 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 T Miyamoto. The network helps show where T Miyamoto may publish in the future.
Co-authorship network of co-authors of T Miyamoto
This figure shows the co-authorship network connecting the top 25 collaborators of T Miyamoto. A scholar is included among the top collaborators of T Miyamoto 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 T Miyamoto. T Miyamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Microflora in traditional fermented camel's milk from Inner Mongolia, China | 23 |
| 2 | 30 | |
| 3 | Use of peroxyacetic acid to reduce multi-antimicrobial resistant Salmonella Virchow contamination in chicken meat. | 0 |
| 4 | 33 | |
| 5 | 52 | |
| 6 | 108 | |
| 7 | 23 | |
| 8 | 16 | |
| 9 | 64 | |
| 10 | 35 | |
| 11 | 21 | |
| 12 | 89 | |
| 13 | 14 | |
| 14 | 11 | |
| 15 | 16 | |
| 16 | Induction of 31,000 protein by PGD2-treated vascular endothelial cells. | 1 |
| 17 | Isolation and identification of lactic acid bacteria from pickles. | 4 |
| 18 | Effects of etoposide (VP-16) on the survival and progression of cultured HeLa S3 cells through the cell cycle. | 3 |
| 19 | 32 | |
| 20 | [Changes in immune complexes and IgG subclass antibodies following oral provocation tests in egg-sensitive adult asthmatic patients]. | 1 |
About T Miyamoto
T Miyamoto is a scholar working on Animal Science and Zoology, Immunology and Allergy and Food Science, having authored 49 papers that have together received 930 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (9 papers), Salmonella and Campylobacter epidemiology (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Animal Science and Zoology (296 citations), Food Science (336 citations) and Immunology (225 citations). T Miyamoto has collaborated with scholars based in Japan, Vietnam and Bulgaria. Frequent co-authors include Tsuneo FUKATA, Kazumi Sasai, E. Baba, Akira Arakawa, Eishi Baba, Takafumi Horie, G. S. K. Withanage, H. S. Lillehoj, K Matsuta and F Takeuchi. Their work appears in journals such as Journal of Geophysical Research Atmospheres, The Journal of Immunology and European Heart Journal.
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.