Kete Ai

578 citations
22 papers · 436 indexed · h-index 15
  • Immunology top 10%
    • 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
    • NF-κB Signaling Pathways 3
    • Bioactive Compounds and Antitumor Agents 2

Kete Ai

22 papers receiving 434 citations

Peers

Kete Ai
Comparison fields: 5 of 64
  • Immunology 343
  • Aquatic Science 44
  • Cancer Research 47
  • Toxicology 8
  • Microbiology 12
Replace Tanja Maehr with:
Tanja Maehr United Kingdom
Zuobing Zhang China
Yanjian Yang China
Dapeng Yu China
Inge R. Fink Netherlands
Soo Il Park South Korea
Minglin Wu China
Jinduo Yuan China
Lucie Combes‐Soia France
Kete Ai relative to Tanja Maehr United Kingdom Tanja Maehr's profile →
Citations per field
00.5×4.5×
Tanja Maehr · 1×
Citations per year

Countries citing papers authored by Kete Ai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Kete Ai Line = papers co-authored together Kete Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20223
3 202217
4 202227
5 202114
6 20218
7 20215
8 202138
9 20206
10 202066
11 20197
12 201932
13 201916
14 201950
15 201821
16 20188
17 201716
18 201715
19 201625
20 201517

About Kete Ai

Kete Ai is a scholar working on Immunology, Toxicology, Microbiology, Cancer Research and Virology, 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 Bioactive Compounds and Antitumor Agents (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, 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, PLoS Pathogens and The FASEB Journal.

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.

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