Aibo Wu

490 total citations
10 papers, 376 citations indexed

About

Aibo Wu is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Aibo Wu has authored 10 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Molecular Biology and 3 papers in Food Science. Recurrent topics in Aibo Wu's work include Mycotoxins in Agriculture and Food (7 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). Aibo Wu is often cited by papers focused on Mycotoxins in Agriculture and Food (7 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). Aibo Wu collaborates with scholars based in China, Belgium and Sweden. Aibo Wu's co-authors include Dongxia Nie, Zhiyong Zhao, Yu‐Cai Liao, Zheng Han, Sarah De Saeger, Xianjun Meng, Na Liu, Le Lü, Xin-Jian Xu and Peng Yang and has published in prestigious journals such as PLANT PHYSIOLOGY, Food Chemistry and Journal of Chromatography A.

In The Last Decade

Aibo Wu

9 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aibo Wu China	8	249	147	75	55	40	10	376
Manuel Alonso-Garrido Spain	10	271 1.1×	123 0.8×	73 1.0×	24 0.4×	25 0.6×	15	372
Josephine Wee United States	13	292 1.2×	211 1.4×	103 1.4×	97 1.8×	23 0.6×	23	502
Rudolf Mitterbauer Austria	12	372 1.5×	267 1.8×	48 0.6×	102 1.9×	20 0.5×	19	547
Raymond D. Coker United Kingdom	11	360 1.4×	105 0.7×	97 1.3×	52 0.9×	47 1.2×	17	458
Sung-Yong Hong United States	10	322 1.3×	213 1.4×	54 0.7×	99 1.8×	14 0.3×	13	437
Mengyue Guo China	13	138 0.6×	178 1.2×	58 0.8×	76 1.4×	32 0.8×	43	394
Darina Pickova Czechia	8	263 1.1×	67 0.5×	80 1.1×	43 0.8×	19 0.5×	10	339
Huali Xie China	7	275 1.1×	97 0.7×	92 1.2×	43 0.8×	51 1.3×	8	384
Hyun Ee Ok South Korea	13	405 1.6×	81 0.6×	135 1.8×	61 1.1×	41 1.0×	18	498

Countries citing papers authored by Aibo Wu

Since Specialization

Citations

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

Fields of papers citing papers by Aibo Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aibo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Aibo Wu. A scholar is included among the top collaborators of Aibo Wu 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 Aibo Wu. Aibo Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Cai, Hua, et al.. (2025). Recent Progress of Mycotoxin in Various Food Products—Human Exposure and Health Risk Assessment. Foods. 14(5). 865–865. 8 indexed citations

Zhang, Yaqi, Huikang Lin, Lan Wang, et al.. (2025). Modulating the electronic configuration of single-atom nanozymes using cobalt nanoclusters for enhanced mycotoxin degradation. Food Chemistry. 479. 143852–143852. 3 indexed citations

Gong, An‐Dong, Nannan Wu, Yuxin Zhang, et al.. (2024). Acetyl-CoA carboxylase as potential molecular target of dimethyl trisulfide on inhibiting the Aspergillus flavus growth and aflatoxins production. LWT. 198. 115924–115924.

Zhang, Dachuan, Ye Tian, Pengli Cai, et al.. (2020). FRCD: A comprehensive food risk component database with molecular scaffold, chemical diversity, toxicity, and biodegradability analysis. Food Chemistry. 318. 126470–126470. 23 indexed citations

He, Weijie, Mengmeng Shi, Peng Yang, et al.. (2020). A quinone-dependent dehydrogenase and two NADPH-dependent aldo/keto reductases detoxify deoxynivalenol in wheat via epimerization in a Devosia strain. Food Chemistry. 321. 126703–126703. 65 indexed citations

Gong, An‐Dong, Mengjun Hu, Shuangjun Gong, et al.. (2019). Antifungal activity of volatile emitted from Enterobacter asburiae Vt-7 against Aspergillus flavus and aflatoxins in peanuts during storage. Food Control. 106. 106718–106718. 63 indexed citations

Han, Zheng, Johan Aerts, Dongxia Nie, et al.. (2015). A reliable liquid chromatography–tandem mass spectrometry method for simultaneous determination of multiple mycotoxins in fresh fish and dried seafoods. Journal of Chromatography A. 1387. 42–48. 51 indexed citations

Liu, Na, Dongxia Nie, Zhiyong Zhao, Xianjun Meng, & Aibo Wu. (2015). Ultrasensitive immunoassays based on biotin–streptavidin amplified system for quantitative determination of family zearalenones. Food Control. 57. 202–209. 43 indexed citations

Zhu, Guanghui, Aibo Wu, Xin-Jian Xu, et al.. (2015). PPIM: A Protein-Protein Interaction Database for Maize. PLANT PHYSIOLOGY. 170(2). 618–626. 65 indexed citations

10.

Han, Zheng, Dongxia Nie, Emmanuel Njumbe Ediage, et al.. (2014). Cumulative health risk assessment of co-occurring mycotoxins of deoxynivalenol and its acetyl derivatives in wheat and maize: Case study, Shanghai, China. Food and Chemical Toxicology. 74. 334–342. 55 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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