Tomoki Yano
Impact in
- Aquatic Science top 0.2%
- Aquaculture Nutrition and Growth
- Aquatic life and conservation
- Immunology top 1%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
- Complement system in diseases
- Immune Response and Inflammation
Papers in
- Immunology 58
- Aquaculture disease management and microbiota 51
- Complement system in diseases 30
- Invertebrate Immune Response Mechanisms 16
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- Aquaculture Nutrition and Growth 13
- Co-authors
- Miki NakaoKazuhiro FujikiHideyasu MatsuyamaK. FujikiDong‐Ho ShinRemy E. P. MangindaanSachiko TsukitaJunichi Mutsuro
- Journals
- Fish & Shellfish Immunology (10 papers)Immunogenetics (6 papers)Fish Pathology (4 papers)The Journal of Immunology (3 papers)The Journal of Cell Biology (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Tomoki Yano
91 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 112
- Aquatic Science 946
- Immunology 2.1k
- Physiology 114
- Neurology 138
- Microbiology 97
Countries citing papers authored by Tomoki Yano
This map shows the geographic impact of Tomoki Yano'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 Tomoki Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoki Yano more than expected).
Fields of papers citing papers by Tomoki Yano
This network shows the impact of papers produced by Tomoki Yano. 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 Tomoki Yano. The network helps show where Tomoki Yano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomoki Yano, 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 | 12 | |
| 2 | 2023 | 11 | |
| 3 | 2019 | 39 | |
| 4 | 2018 | 24 | |
| 5 | 2006 | 54 | |
| 6 | 2006 | 17 | |
| 7 | 2005 | 18 | |
| 8 | 2000 | 41 | |
| 9 | Effect of hot-water extracts from marine algae on resistance of carp and yellowtail against bacterial infections | 1993 | 36 |
| 10 | 1989 | 14 | |
| 11 | 1988 | 13 | |
| 12 | 1988 | 1 | |
| 13 | 1988 | 4 | |
| 14 | 1988 | 52 | |
| 15 | 1988 | 7 | |
| 16 | 1986 | 11 | |
| 17 | 1985 | 5 | |
| 18 | 1978 | 9 | |
| 19 | 1978 | 3 | |
| 20 | 1977 | 2 |
About Tomoki Yano
Tomoki Yano is a scholar working on Immunology, Aquatic Science, Physiology, Neurology and Hematology, having authored 93 papers that have together received 3.0k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (51 papers), Complement system in diseases (30 papers), Invertebrate Immune Response Mechanisms (16 papers), Aquaculture Nutrition and Growth (13 papers), Barrier Structure and Function Studies (8 papers), Erythrocyte Function and Pathophysiology (7 papers), Reproductive biology and impacts on aquatic species (7 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). The work is most often cited by research in Aquatic Science (946 citations), Immunology (2.1k citations), Physiology (114 citations), Neurology (138 citations) and Microbiology (97 citations). Tomoki Yano has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Miki Nakao, Kazuhiro Fujiki, Hideyasu Matsuyama, K. Fujiki, Dong‐Ho Shin, Remy E. P. Mangindaan, Sachiko Tsukita, Junichi Mutsuro, Christopher J. Bayne and Atsushi Tamura. Their work appears in journals such as Fish & Shellfish Immunology, Immunogenetics, Fish Pathology, The Journal of Immunology and The Journal of Cell Biology.
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.