Kiyoshi Noda
- Renewable Energy, Sustainability and the Environment top 10%
- Molecular Biology
- Pharmacology top 10%
- Complementary and alternative medicine top 10%
- Pharmacology top 10%
- Co-authors
- Shoichiro KumamotoYukihiro ShoyamaRyuichiro KondoKuniaki TanakaFumiko KonishiAkira YamadaMasao OkudaKikuo Nomoto
- Topics
- Fungal Biology and Applications (4 papers)Algal biology and biofuel production (4 papers)Herbal Medicine Research Studies (3 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentComplementary and alternative medicinePharmacology
- Partner nations
- Japan
In The Last Decade
Kiyoshi Noda
19 papers receiving 427 citations
Peers
Comparison fields: 5 of 91
- Renewable Energy, Sustainability and the Environment 122
- Molecular Biology 117
- Pharmacology 107
- Complementary and alternative medicine 62
- Pharmacology 55
Countries citing papers authored by Kiyoshi Noda
This map shows the geographic impact of Kiyoshi Noda'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 Kiyoshi Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Noda more than expected).
Fields of papers citing papers by Kiyoshi Noda
This network shows the impact of papers produced by Kiyoshi Noda. 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 Kiyoshi Noda. The network helps show where Kiyoshi Noda may publish in the future.
Co-authorship network of co-authors of Kiyoshi Noda
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Noda. A scholar is included among the top collaborators of Kiyoshi Noda 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 Kiyoshi Noda. Kiyoshi Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 17 | |
| 3 | 51 | |
| 4 | 71 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 46 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 40 | |
| 12 | 12 | |
| 13 | 60 | |
| 14 | Finding Genetic Network from Experiments by Weighted Network Model. | 16 |
| 15 | 36 | |
| 16 | 1 | |
| 17 | 57 | |
| 18 | 2 | |
| 19 | 1 |
About Kiyoshi Noda
Kiyoshi Noda is a scholar working on Complementary and alternative medicine, Renewable Energy, Sustainability and the Environment and Developmental Neuroscience, having authored 19 papers that have together received 463 indexed citations. Recurring topics across this work include Fungal Biology and Applications (4 papers), Algal biology and biofuel production (4 papers) and Herbal Medicine Research Studies (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (122 citations), Complementary and alternative medicine (62 citations) and Pharmacology (107 citations). Kiyoshi Noda has collaborated with scholars based in Japan. Frequent co-authors include Shoichiro Kumamoto, Yukihiro Shoyama, Ryuichiro Kondo, Kuniaki Tanaka, Fumiko Konishi, Akira Yamada, Masao Okuda, Kikuo Nomoto, Takashi Hasegawa and Jie Liu. Their work appears in journals such as Food Chemistry, Journal of Ethnopharmacology and Phytotherapy Research.
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.