Satoshi Uchiyama
- Molecular Biology top 5%
- Immunology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 5%
- Nutrition and Dietetics top 2%
- Co-authors
- Masayoshi YamaguchiVictor NizetTakuji ShirasawaTakahiko ShimizuAjit VarkiAaron F. CarlinYung‐Chi ChangAmanda L. Lewis
- Topics
- Streptococcal Infections and Treatments (20 papers)Bone Metabolism and Diseases (20 papers)Neonatal and Maternal Infections (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Satoshi Uchiyama
111 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 1.8k
- Immunology 533
- Public Health, Environmental and Occupational Health 513
- Epidemiology 497
- Nutrition and Dietetics 403
Countries citing papers authored by Satoshi Uchiyama
This map shows the geographic impact of Satoshi Uchiyama'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 Satoshi Uchiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Uchiyama more than expected).
Fields of papers citing papers by Satoshi Uchiyama
This network shows the impact of papers produced by Satoshi Uchiyama. 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 Satoshi Uchiyama. The network helps show where Satoshi Uchiyama may publish in the future.
Co-authorship network of co-authors of Satoshi Uchiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Uchiyama. A scholar is included among the top collaborators of Satoshi Uchiyama 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 Satoshi Uchiyama. Satoshi Uchiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 33 | |
| 6 | 63 | |
| 7 | 31 | |
| 8 | 24 | |
| 9 | 40 | |
| 10 | 63 | |
| 11 | 47 | |
| 12 | 12 | |
| 13 | 18 | |
| 14 | 113 | |
| 15 | 139 | |
| 16 | 114 | |
| 17 | 73 | |
| 18 | 3 | |
| 19 | 28 | |
| 20 | Head-portion exposure to low-level X-rays reduces isolation-induced aggression of mouse, and involvement of the olfactory carnosine in modulation of the radiation effects. | 1 |
About Satoshi Uchiyama
Satoshi Uchiyama is a scholar working on Biochemistry, Orthopedics and Sports Medicine and Aging, having authored 117 papers that have together received 3.9k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (20 papers), Bone Metabolism and Diseases (20 papers) and Neonatal and Maternal Infections (15 papers). The work is most often cited by research in Biochemistry (359 citations), Microbiology (254 citations) and Orthopedics and Sports Medicine (308 citations). Satoshi Uchiyama has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Masayoshi Yamaguchi, Victor Nizet, Takuji Shirasawa, Takahiko Shimizu, Ajit Varki, Aaron F. Carlin, Yung‐Chi Chang, Amanda L. Lewis, Jamey D. Marth and Prabhjit K. Grewal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.