Dai Kusumoto
- Plant Science top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Atmospheric Science
- Ecology
- Molecular Biology
- Co-authors
- Kaori YoneyamaXiaonan XieYasutomo TakeuchiKoichi YoneyamaYukihiro SugimotoHitoshi SekimotoYoichi M. A. YamadaSou Matsunaga
- Topics
- Plant Parasitism and Resistance (8 papers)Forest Insect Ecology and Management (8 papers)Plant Pathogens and Fungal Diseases (8 papers)
In The Last Decade
Dai Kusumoto
31 papers receiving 823 citations
Peers
Comparison fields: 5 of 49
- Plant Science 734
- Ecology, Evolution, Behavior and Systematics 425
- Atmospheric Science 87
- Ecology 86
- Molecular Biology 73
Countries citing papers authored by Dai Kusumoto
This map shows the geographic impact of Dai Kusumoto'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 Dai Kusumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Kusumoto more than expected).
Fields of papers citing papers by Dai Kusumoto
This network shows the impact of papers produced by Dai Kusumoto. 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 Dai Kusumoto. The network helps show where Dai Kusumoto may publish in the future.
Co-authorship network of co-authors of Dai Kusumoto
This figure shows the co-authorship network connecting the top 25 collaborators of Dai Kusumoto. A scholar is included among the top collaborators of Dai Kusumoto 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 Dai Kusumoto. Dai Kusumoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 27 | |
| 10 | 29 | |
| 11 | Histological observations on host responses and nematode distribution in resistant pine trees infected with pine wood nematode, Bursaphelenchus xylophilus(Short Communication in the 14^ Annual Meeting) | 1 |
| 12 | 50 | |
| 13 | 77 | |
| 14 | 51 | |
| 15 | 291 | |
| 16 | 114 | |
| 17 | 12 | |
| 18 | 11 | |
| 19 | 14 | |
| 20 | Induction of traumatic resin canals in Cupressaceae by ethrel application | 5 |
About Dai Kusumoto
Dai Kusumoto is a scholar working on Plant Science, Cell Biology and Insect Science, having authored 32 papers that have together received 850 indexed citations. Recurring topics across this work include Plant Parasitism and Resistance (8 papers), Forest Insect Ecology and Management (8 papers) and Plant Pathogens and Fungal Diseases (8 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (425 citations), Plant Science (734 citations) and Atmospheric Science (87 citations). Dai Kusumoto has collaborated with scholars based in Japan, Indonesia and Vietnam. Frequent co-authors include Kaori Yoneyama, Xiaonan Xie, Yasutomo Takeuchi, Koichi Yoneyama, Yukihiro Sugimoto, Hitoshi Sekimoto, Yoichi M. A. Yamada, Sou Matsunaga, Akira Tani and Tomoki Mochizuki. Their work appears in journals such as Journal of Agricultural and Food Chemistry, New Phytologist and Chemosphere.
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.