Weiming Ai

680 total citations
59 papers, 548 citations indexed

About

Weiming Ai is a scholar working on Molecular Biology, Nature and Landscape Conservation and Aquatic Science. According to data from OpenAlex, Weiming Ai has authored 59 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 30 papers in Nature and Landscape Conservation and 11 papers in Aquatic Science. Recurrent topics in Weiming Ai's work include Identification and Quantification in Food (31 papers), Genomics and Phylogenetic Studies (29 papers) and Ichthyology and Marine Biology (27 papers). Weiming Ai is often cited by papers focused on Identification and Quantification in Food (31 papers), Genomics and Phylogenetic Studies (29 papers) and Ichthyology and Marine Biology (27 papers). Weiming Ai collaborates with scholars based in China, Thailand and Hong Kong. Weiming Ai's co-authors include Huili Wang, Shaobo Chen, Xuedong Wang, Xiao Chen, Dan Xiang, Yuhuan Zhang, Yunyun Chen, Limei Sun, Xiaofang Shi and Dan Xiang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and FEBS Letters.

In The Last Decade

Weiming Ai

53 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Ai China 14 304 163 103 94 78 59 548
Zhongduo Wang China 13 267 0.9× 92 0.6× 63 0.6× 116 1.2× 64 0.8× 61 526
Yusong Guo China 12 256 0.8× 97 0.6× 57 0.6× 122 1.3× 64 0.8× 67 486
Heather L. Walsh United States 13 187 0.6× 145 0.9× 81 0.8× 52 0.6× 135 1.7× 41 607
Kang Du China 14 221 0.7× 85 0.5× 63 0.6× 58 0.6× 137 1.8× 32 694
Kaja H. Skjærven Norway 17 227 0.7× 72 0.4× 193 1.9× 349 3.7× 38 0.5× 40 756
Xinping Zhu China 10 76 0.3× 54 0.3× 107 1.0× 76 0.8× 78 1.0× 24 366
Silvia E. Arranz Argentina 15 144 0.5× 94 0.6× 43 0.4× 155 1.6× 31 0.4× 35 535
Mari Kawaguchi Japan 17 114 0.4× 178 1.1× 37 0.4× 233 2.5× 35 0.4× 48 739
Inger Porsch-Hällström Sweden 14 109 0.4× 58 0.4× 60 0.6× 54 0.6× 173 2.2× 19 523
Adam Biales United States 17 160 0.5× 102 0.6× 36 0.3× 87 0.9× 214 2.7× 38 623

Countries citing papers authored by Weiming Ai

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Ai. A scholar is included among the top collaborators of Weiming 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 Weiming Ai. Weiming 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
1.
Zhang, Xiao, Wendi Liu, Tingting Zhao, et al.. (2025). Post-Processing Optimization of the Global 30 m Land Cover Dynamic Monitoring Product. Remote Sensing. 17(9). 1558–1558.
2.
3.
4.
Wang, Huili, Xin Li, Jiaqi Xu, et al.. (2023). Immunotoxicity induced by triclocarban exposure in zebrafish triggering the risk of pancreatic cancer. Environmental Pollution. 325. 121458–121458. 7 indexed citations
5.
Chen, Junbo, Qianying Huang, Ming Zhu, et al.. (2023). Identification of three metabolic subtypes in gastric cancer and the construction of a metabolic pathway-based risk model that predicts the overall survival of GC patients. Frontiers in Genetics. 14. 1094838–1094838. 2 indexed citations
6.
Wang, Weiwei, et al.. (2022). Toxicity mechanisms regulating bone differentiation and development defects following abnormal expressions of miR-30c targeted by triclosan in zebrafish. The Science of The Total Environment. 850. 158040–158040. 10 indexed citations
7.
Huang, Wenhao, Weiming Ai, Weiwei Lin, et al.. (2020). Identification of receptors for eight endocrine disrupting chemicals and their underlying mechanisms using zebrafish as a model organism. Ecotoxicology and Environmental Safety. 204. 111068–111068. 16 indexed citations
8.
Ling, Yuhang, Limei Sun, Danting Wang, et al.. (2020). Triclosan induces zebrafish neurotoxicity by abnormal expression of miR-219 targeting oligodendrocyte differentiation of central nervous system. Archives of Toxicology. 94(3). 857–871. 29 indexed citations
9.
Ai, Weiming, Limei Sun, Fang Fang, et al.. (2019). Triclosan-induced liver injury in zebrafish (Danio rerio) via regulating MAPK/p53 signaling pathway. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 222. 108–117. 43 indexed citations
10.
Li, Fanghui, Hui Wang, Jin‐Feng Liu, et al.. (2016). Immunotoxicity of β-Diketone Antibiotic Mixtures to Zebrafish (Danio rerio) by Transcriptome Analysis. PLoS ONE. 11(4). e0152530–e0152530. 22 indexed citations
11.
Lin, Jiebo, Jieyi Li, Haifeng Zhang, et al.. (2016). Effects of β-diketone antibiotics on F1-zebrafish (Danio rerio) based on high throughput miRNA sequencing under exposure to parents. Chemosphere. 164. 41–51. 13 indexed citations
12.
Xiang, Dan, et al.. (2014). Complete mitogenome of Hemiculter leucisculus (Cyprinidae: Cultrinae). Mitochondrial DNA Part A. 27(1). 145–146. 1 indexed citations
13.
Chen, Xiao, Weiming Ai, Dan Xiang, & Shaobo Chen. (2013). Complete mitochondrial genome of the red stingrayDasyatis akajei(Myliobatiformes: Dasyatidae). Mitochondrial DNA. 25(1). 37–38. 17 indexed citations
14.
Chen, Xiaohong, Dan Xiang, Weiming Ai, & Xiaofang Shi. (2013). Complete mitochondrial genome of the blue sharkPrionace glauca(Elasmobranchii: Carcharhiniformes). Mitochondrial DNA. 26(2). 313–314. 5 indexed citations
15.
Ai, Weiming, et al.. (2013). Mitochondrial genome of blotched fantail rayTaeniura meyeni(Myliobatiformes: Dasyatidae). Mitochondrial DNA. 24(6). 663–664. 3 indexed citations
16.
Xiang, Dan, et al.. (2013). Complete mitogenome ofPseudohemiculter dispar(Cyprinidae: Cultrinae). Mitochondrial DNA. 24(4). 356–358. 2 indexed citations
17.
Ai, Weiming, Xiao Chen, Dan Xiang, Shaobo Chen, & Yunyun Chen. (2013). Complete mitochondrial genome ofAcrossocheilus wenchowensis(Cyprinidae, Barbinae). Mitochondrial DNA. 24(3). 249–251. 28 indexed citations
18.
Ai, Weiming, et al.. (2012). Complete mitogenome of the pale-edged stingrayDasyatis zugei(Myliobatiformes: Dasyatidae). Mitochondrial DNA. 24(3). 196–198. 17 indexed citations
19.
Chen, Xiao, Zhiming Zhou, Zhijian J. Chen, & Weiming Ai. (2012). Complete mitochondrial genome ofSarcocheilichthys parvus(Cypriniformes, Cyprinidae). Mitochondrial DNA. 24(2). 97–98. 24 indexed citations
20.
Chen, Shaobo, et al.. (2010). THE GENETIC DIVERSITY OF THE MANGROVE KANDELIA OBOVATA IN CHINA REVEALED BY ISSR ANALYSIS. Pakistan Journal of Botany. 42(6). 3755–3764. 7 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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