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 24
- Aquaculture disease management and microbiota 15
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 8
- interferon and immune responses 8
- Immune Response and Inflammation 5
- Invertebrate Immune Response Mechanisms 4
- Co-authors
- Xiumei Wei (18 shared papers)Jialong Yang (18 shared papers)Huiying Li (7 shared papers)Yu Zhang (10 shared papers)Kang Li (7 shared papers)Li Cheng (3 shared papers)Yu Zhang (1 shared paper)Kai Luo (6 shared papers)
- Journals
- Fish & Shellfish Immunology (8 papers)The Journal of Immunology (3 papers)Journal of Biological Chemistry (2 papers)The FASEB Journal (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- China
In The Last Decade
Kete Ai
24 papers receiving 470 citations
Peers
Comparison fields: 5 of 65
- Immunology 356
- Aquatic Science 45
- Cancer Research 48
- 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2019 | 51 | |
| 3 | 2021 | 44 | |
| 4 | 2019 | 36 | |
| 5 | 2022 | 34 | |
| 6 | 2016 | 26 | |
| 7 | 2023 | 25 | |
| 8 | 2018 | 21 | |
| 9 | 2022 | 18 | |
| 10 | 2016 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2019 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2017 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2018 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2021 | 5 |
About Kete Ai
Kete Ai is a scholar working on Immunology, Molecular Biology, Oncology, Microbiology and Cancer Research, having authored 25 papers that have together received 471 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (15 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers), interferon and immune responses (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 (3 papers). The work is most often cited by research in Immunology (356 citations), Aquatic Science (45 citations), Cancer Research (48 citations), Toxicology (8 citations) and Microbiology (12 citations). Kete Ai has collaborated with scholars based in China. Frequent co-authors include Xiumei Wei, Jialong Yang, Huiying Li, Yu Zhang, Kang Li, Kang Li, Li Cheng, Yu Zhang, Kai Luo and Weihua Gao. Their work appears in journals such as Fish & Shellfish Immunology, The Journal of Immunology, Journal of Biological Chemistry, The FASEB Journal and PLoS Pathogens.
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.