Xiaohui Ai

1.7k citations
115 papers · 1.3k · h-index 18

Impact in

    • Vibrio bacteria research studies
  • Immunology top 5%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Aquaculture disease management and microbiota 65
    • Pharmaceutical and Antibiotic Environmental Impacts 26

Xiaohui Ai

111 papers receiving 1.3k citations

Peers

Xiaohui Ai
Comparison fields: 5 of 100
  • Endocrinology 144
  • Immunology 554
  • Pollution 266
  • Molecular Medicine 109
  • Microbiology 89
Replace Isaac Olufemi Olatoye with:
Isaac Olufemi Olatoye Nigeria
Mohamed S. Nawaz United States
Ammini Parvathi India
Hafizah Y. Chenia South Africa
Yongxue Sun China
Sanath Kumar India
Víctor Hormazábal Norway
Manjusha Lekshmi India
Hristo Najdenski Bulgaria
Yuko Kumeda Japan
Xiaohui Ai relative to Isaac Olufemi Olatoye Nigeria Isaac Olufemi Olatoye's profile →
Citations per field
00.5×3.3×
Isaac Olufemi Olatoye · 1×
Citations per year

Countries citing papers authored by Xiaohui Ai

Since Specialization
Citations

This map shows the geographic impact of Xiaohui 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 Xiaohui Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Ai more than expected).

Fields of papers citing papers by Xiaohui Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaohui 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 Xiaohui Ai. The network helps show where Xiaohui Ai may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaohui 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 Xiaohui Ai Line = papers co-authored together Xiaohui Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014276
2 201736
3 201933
4 202029
5 202028
6 202128
7 201826
8 201826
9 202124
10 201923
11 201422
12 202022
13 202120
14 202220
15 202020
16 202119
17 201719
18 201818
19 201917
20 202017

About Xiaohui Ai

Xiaohui Ai is a scholar working on Immunology, Pollution, Pharmacology, Molecular Biology and Ecology, having authored 115 papers that have together received 1.3k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (65 papers), Pharmaceutical and Antibiotic Environmental Impacts (26 papers), Antibiotics Pharmacokinetics and Efficacy (24 papers), Vibrio bacteria research studies (15 papers), Parasite Biology and Host Interactions (11 papers), Pesticide Residue Analysis and Safety (10 papers), Environmental Toxicology and Ecotoxicology (9 papers) and Antibiotic Resistance in Bacteria (8 papers). The work is most often cited by research in Endocrinology (144 citations), Immunology (554 citations), Pollution (266 citations), Molecular Medicine (109 citations) and Microbiology (89 citations). Xiaohui Ai has collaborated with scholars based in China, United States and Laos. Frequent co-authors include Ning Xu, Yongtao Liu, Yibin Yang, Jing Dong, Qiuhong Yang, Shun Zhou, Zonghui Yuan, Menghong Dai, Guyue Cheng and Hafiz Iftikhar Hussain. Their work appears in journals such as Aquaculture, Animals, Journal of Veterinary Pharmacology and Therapeutics, Aquaculture Reports and Fish & Shellfish 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.

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