Hidetoshi Higuchi
Impact in
- Microbiology top 0.5%
- Microbial infections and disease research
- Agronomy and Crop Science top 2%
- Milk Quality and Mastitis in Dairy Cows
- Reproductive Physiology in Livestock
Papers in
- Microbiology 48
- Microbial infections and disease research 42
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- Cell Adhesion Molecules Research 16
- Co-authors
- Hajime NagahataHidetomo IwanoSatoshi GondairaKazuhiro KawaiYutaka TamuraMasaru UsuiYasunori TanjiJumpei Fujiki
- Journals
- Veterinary Immunology and Immunopathology (9 papers)Research in Veterinary Science (6 papers)Animal Science Journal (5 papers)Veterinary Record (3 papers)Veterinary Research (3 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Hidetoshi Higuchi
100 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Microbiology 501
- Agronomy and Crop Science 399
- Small Animals 162
- Immunology 340
- Ecology 291
Countries citing papers authored by Hidetoshi Higuchi
This map shows the geographic impact of Hidetoshi Higuchi'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 Hidetoshi Higuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetoshi Higuchi more than expected).
Fields of papers citing papers by Hidetoshi Higuchi
This network shows the impact of papers produced by Hidetoshi Higuchi. 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 Hidetoshi Higuchi. The network helps show where Hidetoshi Higuchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hidetoshi Higuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 19 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2018 | 55 | |
| 17 | 2018 | 32 | |
| 18 | 2018 | 3 | |
| 19 | 2016 | 1 | |
| 20 | 1998 | 8 |
About Hidetoshi Higuchi
Hidetoshi Higuchi is a scholar working on Microbiology, Immunology and Allergy, Agronomy and Crop Science, Immunology and Small Animals, having authored 106 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial infections and disease research (42 papers), Milk Quality and Mastitis in Dairy Cows (19 papers), Bacteriophages and microbial interactions (17 papers), Cell Adhesion Molecules Research (16 papers), Aquaculture disease management and microbiota (15 papers), Herpesvirus Infections and Treatments (13 papers), Probiotics and Fermented Foods (8 papers) and Immune Response and Inflammation (8 papers). The work is most often cited by research in Microbiology (501 citations), Agronomy and Crop Science (399 citations), Small Animals (162 citations), Immunology (340 citations) and Ecology (291 citations). Hidetoshi Higuchi has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hajime Nagahata, Hidetomo Iwano, Satoshi Gondaira, Kazuhiro Kawai, Yutaka Tamura, Masaru Usui, Yasunori Tanji, Jumpei Fujiki, Koji Nishi and Shin Oikawa. Their work appears in journals such as Veterinary Immunology and Immunopathology, Research in Veterinary Science, Animal Science Journal, Veterinary Record and Veterinary 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.