H. Fukuda
- Co-authors
- Takaya OgawaSumio TanaseTokuo SANOT. FujiiMasato TazakiMakoto FurukawaN. OkamotoYoshimasa Morino
- Topics
- Aquaculture disease management and microbiota (9 papers)Animal Virus Infections Studies (8 papers)Microbial Metabolic Engineering and Bioproduction (4 papers)
In The Last Decade
H. Fukuda
24 papers receiving 525 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 201
- Immunology 174
- Plant Science 133
- Animal Science and Zoology 95
- Pollution 54
Countries citing papers authored by H. Fukuda
This map shows the geographic impact of H. Fukuda'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 H. Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Fukuda more than expected).
Fields of papers citing papers by H. Fukuda
This network shows the impact of papers produced by H. Fukuda. 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 H. Fukuda. The network helps show where H. Fukuda may publish in the future.
Co-authorship network of co-authors of H. Fukuda
This figure shows the co-authorship network connecting the top 25 collaborators of H. Fukuda. A scholar is included among the top collaborators of H. Fukuda 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 H. Fukuda. H. Fukuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 43 | |
| 3 | 24 | |
| 4 | Identification of human papilloma virus DNA sequence in the hyperplastic epithelium of an oral denture fibroma. | 6 |
| 5 | 19 | |
| 6 | Salmonid herpesvirus 2. Epizootiology and serological relationship. | 7 |
| 7 | 36 | |
| 8 | 25 | |
| 9 | 87 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 25 | |
| 13 | 32 | |
| 14 | Development of a suspension culture of chinook salmon (Oncorhynchus tshawytscha) embryo (CHSE-214) cells in a spinner flask | 2 |
| 15 | 78 | |
| 16 | 2 | |
| 17 | A selected strain (RT-101) of rainbow trout, Salmo gairdneri Richardson, highly sensitive to IPN virus [Infectious pancreatic necrosis] | 2 |
| 18 | 49 | |
| 19 | Yamame tumor virus: lethality and oncogenicity. | 31 |
| 20 | Rice Insect Control by Granular Insecticide | 4 |
About H. Fukuda
H. Fukuda is a scholar working on Animal Science and Zoology, Immunology and Aquatic Science, having authored 24 papers that have together received 549 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (9 papers), Animal Virus Infections Studies (8 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Animal Science and Zoology (95 citations), Immunology (174 citations) and Aquatic Science (44 citations). H. Fukuda has collaborated with scholars based in Japan, Vietnam and Taiwan. Frequent co-authors include Takaya Ogawa, Sumio Tanase, Tokuo SANO, T. Fujii, Masato Tazaki, Makoto Furukawa, N. Okamoto, Yoshimasa Morino, Kiminori Nakamura and Mitsuru Ototake. Their work appears in journals such as Applied and Environmental Microbiology, Biochemical and Biophysical Research Communications and Microbiology.
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.