Kete Ai
Impact in
- Immunology top 10%
- Aquaculture disease management and microbiota
- Immune Cell Function and Interaction
- Invertebrate Immune Response Mechanisms
- interferon and immune responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
Papers in
- Immunology 21
- Aquaculture disease management and microbiota 13
- Immune Cell Function and Interaction 9
- interferon and immune responses 8
- T-cell and B-cell Immunology 8
- Immune Response and Inflammation 5
- Invertebrate Immune Response Mechanisms 4
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- NF-κB Signaling Pathways 3
- Co-authors
- Jialong Yang (17 shared papers)Xiumei Wei (17 shared papers)Huiying Li (7 shared papers)Kang Li (7 shared papers)Yu Zhang (10 shared papers)Li Cheng (3 shared papers)Kang Li (6 shared papers)Yu Zhang (1 shared paper)
- Journals
- Fish & Shellfish Immunology (8 papers)The Journal of Immunology (3 papers)Journal of Biological Chemistry (2 papers)PLoS Pathogens (1 paper)Aquaculture (1 paper)
- Partner nations
- China
In The Last Decade
Kete Ai
22 papers receiving 434 citations
Peers
Comparison fields: 5 of 64
- Immunology 343
- Aquatic Science 44
- Cancer Research 47
- Toxicology 8
- Microbiology 12
Countries citing papers authored by Kete Ai
This map shows the geographic impact of Kete Ai'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 Kete Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kete Ai more than expected).
Fields of papers citing papers by Kete Ai
This network shows the impact of papers produced by Kete Ai. 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 Kete Ai. The network helps show where Kete Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kete Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2019 | 50 | |
| 3 | 2021 | 38 | |
| 4 | 2019 | 32 | |
| 5 | 2022 | 27 | |
| 6 | 2016 | 25 | |
| 7 | 2023 | 23 | |
| 8 | 2018 | 21 | |
| 9 | 2016 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2015 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2019 | 16 | |
| 14 | 2017 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 5 |
About Kete Ai
Kete Ai is a scholar working on Immunology, Cancer Research, Molecular Biology, Oncology and Infectious Diseases, having authored 22 papers that have together received 436 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (13 papers), Immune Cell Function and Interaction (9 papers), interferon and immune responses (8 papers), T-cell and B-cell Immunology (8 papers), Immune Response and Inflammation (5 papers), Invertebrate Immune Response Mechanisms (4 papers), NF-κB Signaling Pathways (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (343 citations), Aquatic Science (44 citations), Cancer Research (47 citations), Toxicology (8 citations) and Microbiology (12 citations). Kete Ai has collaborated with scholars based in China. Frequent co-authors include Jialong Yang, Xiumei Wei, Huiying Li, Kang Li, Yu Zhang, Li Cheng, Kang Li, Yu Zhang, Weihua Gao and Kunming Li. Their work appears in journals such as Fish & Shellfish Immunology, The Journal of Immunology, Journal of Biological Chemistry, PLoS Pathogens and Aquaculture.
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.