Eiichi Miyagawa
- Molecular Biology
- Agronomy and Crop Science top 5%
- Food Science top 10%
- Biomedical Engineering
- Building and Construction top 10%
- Co-authors
- TSUNEJI SUTOR. AzumaR. J. WallaceNest McKainNicola WalkerL.C. ChaudharyHajime MinatoC. J. Newbold
- Topics
- Ruminant Nutrition and Digestive Physiology (7 papers)Probiotics and Fermented Foods (3 papers)Genomics and Phylogenetic Studies (3 papers)
In The Last Decade
Eiichi Miyagawa
21 papers receiving 461 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 246
- Agronomy and Crop Science 101
- Food Science 84
- Biomedical Engineering 68
- Building and Construction 68
Countries citing papers authored by Eiichi Miyagawa
This map shows the geographic impact of Eiichi Miyagawa'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 Eiichi Miyagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Miyagawa more than expected).
Fields of papers citing papers by Eiichi Miyagawa
This network shows the impact of papers produced by Eiichi Miyagawa. 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 Eiichi Miyagawa. The network helps show where Eiichi Miyagawa may publish in the future.
Co-authorship network of co-authors of Eiichi Miyagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Eiichi Miyagawa. A scholar is included among the top collaborators of Eiichi Miyagawa 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 Eiichi Miyagawa. Eiichi Miyagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | Terminal Restriction Fragmentation Length Polymorphism Analysis of 16S rRNA Genes for the Characterization of Bacterial Community Structure in the Rumen of Sheep Fed Different Diets | 2 |
| 3 | 49 | |
| 4 | 80 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | Techniques for analysis of rumen microbial ecosystems. | 4 |
| 9 | 5 | |
| 10 | 23 | |
| 11 | 17 | |
| 12 | 26 | |
| 13 | 7 | |
| 14 | Cellular fatty acid composition in staphylococci isolated from bovine milk. | 5 |
| 15 | 21 | |
| 16 | 17 | |
| 17 | Isolation of Selenomonas spp. from lesions and non-digestive organs of cows, pigs and man. | 6 |
| 18 | 91 | |
| 19 | 28 | |
| 20 | 21 |
About Eiichi Miyagawa
Eiichi Miyagawa is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Food Science, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (7 papers), Probiotics and Fermented Foods (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Agronomy and Crop Science (101 citations), Periodontics (39 citations) and Clinical Biochemistry (47 citations). Eiichi Miyagawa has collaborated with scholars based in Japan, Egypt and Libya. Frequent co-authors include TSUNEJI SUTO, R. Azuma, R. J. Wallace, Nest McKain, Nicola Walker, L.C. Chaudhary, Hajime Minato, C. J. Newbold, J. Apajalahti and T. P. King. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and Microbiology.
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.