Qinghui Ai

14.7k total citations
405 papers, 12.2k citations indexed

About

Qinghui Ai is a scholar working on Aquatic Science, Immunology and Physiology. According to data from OpenAlex, Qinghui Ai has authored 405 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 308 papers in Aquatic Science, 251 papers in Immunology and 89 papers in Physiology. Recurrent topics in Qinghui Ai's work include Aquaculture Nutrition and Growth (301 papers), Aquaculture disease management and microbiota (242 papers) and Reproductive biology and impacts on aquatic species (88 papers). Qinghui Ai is often cited by papers focused on Aquaculture Nutrition and Growth (301 papers), Aquaculture disease management and microbiota (242 papers) and Reproductive biology and impacts on aquatic species (88 papers). Qinghui Ai collaborates with scholars based in China, United States and Spain. Qinghui Ai's co-authors include Kangsen Mai, Wenbing Zhang, Zhiguo Liufu, Wei Xu, Yanjiao Zhang, Wei Xu, Hongming Ma, Beiping Tan, Houguo Xu and Rantao Zuo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Qinghui Ai

390 papers receiving 11.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qinghui Ai China 61 9.6k 7.6k 2.6k 2.0k 1.0k 405 12.2k
Aires Oliva‐Teles Portugal 56 8.7k 0.9× 6.2k 0.8× 2.9k 1.1× 1.1k 0.6× 1.4k 1.3× 242 10.4k
Wenbing Zhang China 48 6.5k 0.7× 5.2k 0.7× 1.3k 0.5× 1.2k 0.6× 732 0.7× 323 8.6k
Viswanath Kiron Norway 56 6.7k 0.7× 6.5k 0.9× 1.4k 0.5× 1.6k 0.8× 1.1k 1.0× 218 10.8k
Lixia Tian China 54 6.7k 0.7× 5.0k 0.7× 1.5k 0.6× 1.2k 0.6× 1.2k 1.1× 198 8.5k
Rune Waagbø Norway 52 6.1k 0.6× 3.4k 0.4× 1.8k 0.7× 991 0.5× 1.3k 1.2× 173 8.7k
Jaume Pérez‐Sánchez Spain 55 6.3k 0.7× 5.0k 0.7× 2.3k 0.9× 1.3k 0.7× 1.9k 1.8× 222 9.4k
Xiao‐Qiu Zhou China 63 8.6k 0.9× 8.0k 1.1× 1.2k 0.5× 2.3k 1.2× 1.5k 1.5× 340 12.6k
Zhen‐Yu Du China 53 5.3k 0.6× 4.4k 0.6× 1.0k 0.4× 2.1k 1.1× 1.6k 1.5× 304 10.3k
Lin Feng China 63 8.4k 0.9× 8.1k 1.1× 1.2k 0.4× 2.5k 1.3× 1.5k 1.4× 350 12.9k
Wei‐Dan Jiang China 61 8.0k 0.8× 7.6k 1.0× 1.1k 0.4× 2.2k 1.1× 1.5k 1.4× 340 11.9k

Countries citing papers authored by Qinghui Ai

Since Specialization
Citations

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

Fields of papers citing papers by Qinghui Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghui Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghui Ai. A scholar is included among the top collaborators of Qinghui Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qinghui Ai. Qinghui Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Wang, Anran, Jie Xu, Daji Luo, et al.. (2024). Arachidonic acid promotes ovarian development by modulating lipid metabolism and steroid hormone secretion in Chinese mitten crab (Eriocheir sinensis). Aquaculture. 596. 741844–741844. 2 indexed citations
5.
Zhang, Wencong, Jianlong Du, Yongtao Liu, et al.. (2024). Optimal dietary lipid levels alleviated adverse effects of high temperature on growth, lipid metabolism, antioxidant and immune responses in juvenile turbot (Scophthalmus maximus L.). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 272. 110962–110962. 7 indexed citations
7.
Zhang, Chenxiang, Yongtao Liu, Chuanwei Yao, et al.. (2024). Effects of dietary succinic acid supplementation on growth performance, digestive ability, intestinal development and immunity of large yellow croaker (Larimichthys crocea) larvae. Fish & Shellfish Immunology. 155. 109972–109972. 3 indexed citations
9.
Sun, Jie, Kangsen Mai, & Qinghui Ai. (2023). Effects of GRP78 on Endoplasmic Reticulum Stress and Inflammatory Response in Macrophages of Large Yellow Croaker (Larimichthys crocea). International Journal of Molecular Sciences. 24(6). 5855–5855. 5 indexed citations
14.
15.
Ai, Qinghui, Kangsen Mai, & Yang Qiao. (2019). Effects of Fish Meal Replaced by Maggot Culture on Growth Performance, Body Composition, and Antioxidant Responses of Hybrid Tilapia (Oreochromis niloticus × O. aureus). Israeli Journal of Aquaculture - Bamidgeh. 71. 2 indexed citations
19.
Deng, Junming, Kangsen Mai, Qinghui Ai, & Wenbing Zhang. (2009). EFFECTS OF SOYBEAN OL IGOSACCHARI DES ON NUTRITI ONAL CHARACTERS OF JAPANESE FLOUNDER(PARAL ICHTHYS OL IVACEUS):Ⅰ. FEED ING RATE, GROW TH AND M ETABOL IZE ENZYM E ACTIVITIES. Acta Hydrobiologica Sinica. 33(1). 7–14. 2 indexed citations
20.
Xie, Xiaojun, et al.. (2003). EFFECTS OF FEEDING FRENQUENCY ON FEEDING RATE,GROWTH AND FEED CONVERSION EFFICIENCY FOR THE SOUTHERN CATFISH, SILURUS MERIDIONALIS. Acta Hydrobiologica Sinica. 27(4). 434–436. 1 indexed citations

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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