Fumio Kikuchi
- Co-authors
- Masao YokooHirohiko HirochikaHisashi HiranoKazunori SuzukiMasao IshimotoHiroyuki KagawaKazuya KitamuraM. Iwanaga
- Topics
- Rice Cultivation and Yield Improvement (21 papers)Genetic Mapping and Diversity in Plants and Animals (17 papers)GABA and Rice Research (10 papers)
- Cited by
- Plant ScienceGeneticsBiotechnology
In The Last Decade
Fumio Kikuchi
40 papers receiving 484 citations
Peers
Comparison fields: 5 of 41
- Plant Science 525
- Genetics 225
- Molecular Biology 177
- Biotechnology 39
- Nutrition and Dietetics 34
Countries citing papers authored by Fumio Kikuchi
This map shows the geographic impact of Fumio Kikuchi'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 Fumio Kikuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumio Kikuchi more than expected).
Fields of papers citing papers by Fumio Kikuchi
This network shows the impact of papers produced by Fumio Kikuchi. 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 Fumio Kikuchi. The network helps show where Fumio Kikuchi may publish in the future.
Co-authorship network of co-authors of Fumio Kikuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Kikuchi. A scholar is included among the top collaborators of Fumio Kikuchi 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 Fumio Kikuchi. Fumio Kikuchi 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 | Propagation of greater yam (Dioscorea alata L.) using shoot apex and nodal segment cultures combined with virus detection by RT-PCR. | 2 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Evaluation of tuber shape of yam (Dioscorea alata L.) cultivars by image analysis and elliptic Fourier descriptors | 10 |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 38 | |
| 11 | 2 | |
| 12 | 117 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 41 | |
| 16 | 1 | |
| 17 | Genetic Analysis of Semidwarfness and Their Significance for Breeding of High-Yielding Varieties in Rice | 4 |
| 18 | Genetical analysis of heading date by means of close linkage with blast resistance in rice. | 13 |
| 19 | Genic Analysis of Heading Time by Aid of Close Linkage with Blast Resistance in Rice | 2 |
| 20 | 11 |
About Fumio Kikuchi
Fumio Kikuchi is a scholar working on Plant Science, Genetics and Food Science, having authored 43 papers that have together received 597 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (21 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and GABA and Rice Research (10 papers). The work is most often cited by research in Plant Science (525 citations), Genetics (225 citations) and Biotechnology (39 citations). Fumio Kikuchi has collaborated with scholars based in Japan, Australia and Colombia. Frequent co-authors include Masao Yokoo, Hirohiko Hirochika, Hisashi Hirano, Kazunori Suzuki, Masao Ishimoto, Hiroyuki Kagawa, Kazuya Kitamura, M. Iwanaga, Hiroshi Kato and Shinya Oba. Their work appears in journals such as Food Chemistry, Theoretical and Applied Genetics and Journal of Plant 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.