Aibo Wu
Impact in
- Plant Science top 0.5%
- Mycotoxins in Agriculture and Food
- Wheat and Barley Genetics and Pathology
- Plant Disease Resistance and Genetics
- Analytical Chemistry top 0.5%
- Analytical chemistry methods development
Papers in
-
- Mycotoxins in Agriculture and Food 89
- Wheat and Barley Genetics and Pathology 20
- Plant Disease Resistance and Genetics 14
- Plant-Microbe Interactions and Immunity 9
- Food Science 30
- Pesticide Residue Analysis and Safety 22
- Co-authors
- Sarah De Saeger (19 shared papers)Suquan Song (17 shared papers)Yu‐Cai Liao (22 shared papers)Dianzhen Yu (19 shared papers)Dabing Zhang (13 shared papers)Emmanuel Njumbe Ediage (3 shared papers)Zhiyong Zhao (15 shared papers)Yanglan Tan (11 shared papers)
In The Last Decade
Aibo Wu
113 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 112
- Plant Science 2.2k
- Analytical Chemistry 449
- Cell Biology 619
- Food Science 648
- Biotechnology 231
Countries citing papers authored by Aibo Wu
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
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-authors
The 25 scholars most cited alongside Aibo Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 226 | |
| 2 | 2007 | 126 | |
| 3 | 2012 | 115 | |
| 4 | 2014 | 111 | |
| 5 | 2012 | 98 | |
| 6 | 2017 | 94 | |
| 7 | 2006 | 92 | |
| 8 | 2005 | 89 | |
| 9 | 2022 | 83 | |
| 10 | 2008 | 79 | |
| 11 | 2010 | 78 | |
| 12 | 2007 | 75 | |
| 13 | 2016 | 72 | |
| 14 | 2019 | 70 | |
| 15 | 2016 | 70 | |
| 16 | 2016 | 68 | |
| 17 | 2022 | 68 | |
| 18 | 2013 | 68 | |
| 19 | 2023 | 65 | |
| 20 | 2015 | 61 |
About Aibo Wu
Aibo Wu is a scholar working on Plant Science, Food Science, Molecular Biology, Cell Biology and Pharmacology, having authored 120 papers that have together received 3.6k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (89 papers), Pesticide Residue Analysis and Safety (22 papers), Plant Pathogens and Fungal Diseases (22 papers), Wheat and Barley Genetics and Pathology (20 papers), Plant Disease Resistance and Genetics (14 papers), Insect and Pesticide Research (12 papers), Plant-Microbe Interactions and Immunity (9 papers) and Analytical chemistry methods development (9 papers). The work is most often cited by research in Plant Science (2.2k citations), Analytical Chemistry (449 citations), Cell Biology (619 citations), Food Science (648 citations) and Biotechnology (231 citations). Aibo Wu has collaborated with scholars based in China, Belgium and Hungary. Frequent co-authors include Sarah De Saeger, Suquan Song, Yu‐Cai Liao, Dianzhen Yu, Dabing Zhang, Emmanuel Njumbe Ediage, Zhiyong Zhao, Yanglan Tan, Na Liu and Yu Song. Their work appears in journals such as Toxins, Analytical Letters, Food Chemistry, Journal of Chromatography B and Food Control.
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.