Kouji Yamada
- Molecular Biology
- Physiology top 10%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Co-authors
- Kazuhiro NishiiHiroshi IshiguroHiroki KurahashiTamae OhyeHidehito InagakiHirohide SawadaBeverly S. EmanuelToshiharu Nagatsu
- Topics
- Adipose Tissue and Metabolism (6 papers)Genomic variations and chromosomal abnormalities (5 papers)Chromosomal and Genetic Variations (5 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kouji Yamada
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 663
- Physiology 201
- Genetics 198
- Cellular and Molecular Neuroscience 163
- Surgery 116
Countries citing papers authored by Kouji Yamada
This map shows the geographic impact of Kouji Yamada'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 Kouji Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kouji Yamada more than expected).
Fields of papers citing papers by Kouji Yamada
This network shows the impact of papers produced by Kouji Yamada. 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 Kouji Yamada. The network helps show where Kouji Yamada may publish in the future.
Co-authorship network of co-authors of Kouji Yamada
This figure shows the co-authorship network connecting the top 25 collaborators of Kouji Yamada. A scholar is included among the top collaborators of Kouji Yamada 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 Kouji Yamada. Kouji Yamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | Shaking stimuli can retard accelerated decline of bone strength of a mouse model assumed to represent a postmenopausal woman | 3 |
| 10 | Shaking stimuli may prevent bone fracture by restraining a bone density decrease gently | 4 |
| 11 | 19 | |
| 12 | 17 | |
| 13 | 43 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | 103 | |
| 17 | 56 | |
| 18 | 10 | |
| 19 | 31 | |
| 20 | 9 |
About Kouji Yamada
Kouji Yamada is a scholar working on Cellular and Molecular Neuroscience, Orthopedics and Sports Medicine and Neurology, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Genomic variations and chromosomal abnormalities (5 papers) and Chromosomal and Genetic Variations (5 papers). The work is most often cited by research in Molecular Biology (663 citations), Cellular and Molecular Neuroscience (163 citations) and Physiology (201 citations). Kouji Yamada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuhiro Nishii, Hiroshi Ishiguro, Hiroki Kurahashi, Tamae Ohye, Hidehito Inagaki, Hirohide Sawada, Beverly S. Emanuel, Toshiharu Nagatsu, Mariko Taniguchi and H. Koyama. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.