Koichi Koyama
- Immunology top 2%
- Molecular Biology top 10%
- Oncology top 5%
- Cellular and Molecular Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Tsutomu MiyasakaKoichi NakajimaTadamitsu KishimotoAkihiro IwamatsuTetsuya TagaTadashi MatsudaSusumu TsunasawaHisashi Harada
- Topics
- Silicon and Solar Cell Technologies (33 papers)Thin-Film Transistor Technologies (30 papers)Silicon Nanostructures and Photoluminescence (22 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Koichi Koyama
135 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 958
- Molecular Biology 940
- Oncology 731
- Cellular and Molecular Neuroscience 567
- Electrical and Electronic Engineering 522
Countries citing papers authored by Koichi Koyama
This map shows the geographic impact of Koichi 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 Koichi Koyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Koyama more than expected).
Fields of papers citing papers by Koichi Koyama
This network shows the impact of papers produced by Koichi 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 Koichi Koyama. The network helps show where Koichi Koyama may publish in the future.
Co-authorship network of co-authors of Koichi Koyama
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Koyama. A scholar is included among the top collaborators of Koichi 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 Koichi Koyama. Koichi 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 | Defect termination on crystalline silicon surfaces by hydrogen for improvement in the passivation quality of catalytic chemical vapor-deposited SiN | 3 |
| 2 | 8 | |
| 3 | 14 | |
| 4 | 83 | |
| 5 | 20 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 39 | |
| 11 | 25 | |
| 12 | 25 | |
| 13 | 3 | |
| 14 | 26 | |
| 15 | 112 | |
| 16 | 36 | |
| 17 | 13 | |
| 18 | 24 | |
| 19 | Benzoquinones in kenyan myrsinaceae part III1: A new 2,3-dihydroxy alkyl-1,4-benzoquinone (myrsinone) and 5-O-methyl embelin from Myrsine Africana | 5 |
| 20 | 7 |
About Koichi Koyama
Koichi Koyama is a scholar working on Parasitology, Cellular and Molecular Neuroscience and Small Animals, having authored 140 papers that have together received 4.4k indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (33 papers), Thin-Film Transistor Technologies (30 papers) and Silicon Nanostructures and Photoluminescence (22 papers). The work is most often cited by research in Immunology (958 citations), Cellular and Molecular Neuroscience (567 citations) and Oncology (731 citations). Koichi Koyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tsutomu Miyasaka, Koichi Nakajima, Tadamitsu Kishimoto, Akihiro Iwamatsu, Tetsuya Taga, Tadashi Matsuda, Susumu Tsunasawa, Hisashi Harada, Fumio Sakiyama and Yasuo Watanabe. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.