Jun-ichi Hikima
Impact in
- Immunology top 1%
- Aquaculture disease management and microbiota
- interferon and immune responses
- Invertebrate Immune Response Mechanisms
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Aquatic Science top 1%
- Aquaculture Nutrition and Growth
Papers in
- Immunology 69
- Aquaculture disease management and microbiota 50
- Invertebrate Immune Response Mechanisms 18
- interferon and immune responses 17
- Immune Response and Inflammation 15
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 8
- Co-authors
- Takashi AokiTae Sung JungIkuo HıronoMasahiro SakaiTomoya KonoHidehiro KondoMaki OhtaniHo Bin Jang
- Journals
- Fish & Shellfish Immunology (17 papers)Marine Biotechnology (5 papers)Fish Pathology (5 papers)Immunogenetics (3 papers)The Journal of Immunology (3 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Jun-ichi Hikima
88 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 102
- Immunology 1.7k
- Aquatic Science 354
- Microbiology 172
- Endocrinology 126
- Animal Science and Zoology 140
Countries citing papers authored by Jun-ichi Hikima
This map shows the geographic impact of Jun-ichi Hikima'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 Jun-ichi Hikima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-ichi Hikima more than expected).
Fields of papers citing papers by Jun-ichi Hikima
This network shows the impact of papers produced by Jun-ichi Hikima. 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 Jun-ichi Hikima. The network helps show where Jun-ichi Hikima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun-ichi Hikima, 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 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 13 | |
| 11 | 2015 | 20 | |
| 12 | 2015 | 34 | |
| 13 | 2011 | 42 | |
| 14 | 2011 | 50 | |
| 15 | 2010 | 58 | |
| 16 | 2010 | 61 | |
| 17 | 2009 | 58 | |
| 18 | 2008 | 2 | |
| 19 | 2006 | 63 | |
| 20 | 2006 | 4 |
About Jun-ichi Hikima
Jun-ichi Hikima is a scholar working on Immunology, Microbiology, Aquatic Science, Molecular Medicine and Endocrine and Autonomic Systems, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (50 papers), Invertebrate Immune Response Mechanisms (18 papers), interferon and immune responses (17 papers), Immune Response and Inflammation (15 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (8 papers), Animal Genetics and Reproduction (6 papers) and Aquaculture Nutrition and Growth (5 papers). The work is most often cited by research in Immunology (1.7k citations), Aquatic Science (354 citations), Microbiology (172 citations), Endocrinology (126 citations) and Animal Science and Zoology (140 citations). Jun-ichi Hikima has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Takashi Aoki, Tae Sung Jung, Ikuo Hırono, Masahiro Sakai, Tomoya Kono, Hidehiro Kondo, Maki Ohtani, Ho Bin Jang, Sonomi Minagawa and In Seok. Their work appears in journals such as Fish & Shellfish Immunology, Marine Biotechnology, Fish Pathology, Immunogenetics and The Journal of Immunology.
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.