T. Koyama
- Environmental Engineering top 10%
- Health, Toxicology and Mutagenesis top 10%
- Plant Science
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Akira YamauchiKei‐ichiro MaedaShigefusa F. ChichibuHideki HayashiTakeyoshi OnumaTakumi SatoKatsuki AdachiKeitaro Tawaraya
- Topics
- ZnO doping and properties (6 papers)Plant nutrient uptake and metabolism (4 papers)Plant responses to water stress (3 papers)
- Partner nations
- JapanVietnamPhilippines
In The Last Decade
T. Koyama
23 papers receiving 418 citations
Peers
Comparison fields: 5 of 69
- Environmental Engineering 142
- Health, Toxicology and Mutagenesis 114
- Plant Science 104
- Materials Chemistry 92
- Electrical and Electronic Engineering 79
Countries citing papers authored by T. Koyama
This map shows the geographic impact of T. Koyama'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. Koyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Koyama more than expected).
Fields of papers citing papers by T. Koyama
This network shows the impact of papers produced by T. Koyama. 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. Koyama. The network helps show where T. Koyama may publish in the future.
Co-authorship network of co-authors of T. Koyama
This figure shows the co-authorship network connecting the top 25 collaborators of T. Koyama. A scholar is included among the top collaborators of T. Koyama 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. Koyama. T. Koyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 38 | |
| 7 | 28 | |
| 8 | 11 | |
| 9 | 111 | |
| 10 | Face extraction for assisting handicapped person's walk and estimation of its direction. | 1 |
| 11 | 9 | |
| 12 | 36 | |
| 13 | 29 | |
| 14 | 8 | |
| 15 | 16 | |
| 16 | 19 | |
| 17 | 17 | |
| 18 | 10 | |
| 19 | Prevalence of Cryptosporidium infection among house rats, Rattus rattus and R. norvegicus, in Tokyo, Japan and experimental cryptosporidiosis in roof rats | 11 |
| 20 | The inhibitory effect of a human serum albumin fraction on insulin activity. | 0 |
About T. Koyama
T. Koyama is a scholar working on Parasitology, Plant Science and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 428 indexed citations. Recurring topics across this work include ZnO doping and properties (6 papers), Plant nutrient uptake and metabolism (4 papers) and Plant responses to water stress (3 papers). The work is most often cited by research in Environmental Engineering (142 citations), Health, Toxicology and Mutagenesis (114 citations) and Building and Construction (77 citations). T. Koyama has collaborated with scholars based in Japan, Vietnam and Philippines. Frequent co-authors include Akira Yamauchi, Kei‐ichiro Maeda, Shigefusa F. Chichibu, Hideki Hayashi, Takeyoshi Onuma, Takumi Sato, Katsuki Adachi, Keitaro Tawaraya, Shusei Sato and Shigenobu Yoshida. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.
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.