Li Wu
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Food Science top 5%
- Seed and Plant Biochemistry
Papers in
-
- Mycotoxins in Agriculture and Food 11
- Wheat and Barley Genetics and Pathology 4
- Plant Disease Resistance and Genetics 2
- Food Science 12
- Pesticide Residue Analysis and Safety 4
- Co-authors
- Tiejun Li (11 shared papers)Guixing Ren (4 shared papers)Peiyou Qin (2 shared papers)Hung‐Chia Chang (1 shared paper)Jie Yin (5 shared papers)Yulong Yin (6 shared papers)Yang Yao (2 shared papers)Liuqin He (5 shared papers)
- Journals
- Toxins (4 papers)Food Chemistry (3 papers)Amino Acids (2 papers)PLoS ONE (2 papers)Journal of Food Science (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Li Wu
33 papers receiving 965 citations
Peers
Comparison fields: 5 of 99
- Animal Science and Zoology 187
- Food Science 276
- Nutrition and Dietetics 215
- Biochemistry 68
- Plant Science 411
Countries citing papers authored by Li Wu
This map shows the geographic impact of Li 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 Li Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Wu more than expected).
Fields of papers citing papers by Li Wu
This network shows the impact of papers produced by Li 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 Li Wu. The network helps show where Li Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 98 | |
| 2 | 2015 | 83 | |
| 3 | 2015 | 76 | |
| 4 | 2016 | 74 | |
| 5 | 2013 | 73 | |
| 6 | 2008 | 63 | |
| 7 | 2014 | 53 | |
| 8 | 2015 | 50 | |
| 9 | 2015 | 50 | |
| 10 | 2011 | 48 | |
| 11 | 2016 | 32 | |
| 12 | 2017 | 31 | |
| 13 | 2015 | 30 | |
| 14 | 2015 | 28 | |
| 15 | 2016 | 23 | |
| 16 | 2016 | 23 | |
| 17 | 2018 | 16 | |
| 18 | 2023 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2014 | 14 |
About Li Wu
Li Wu is a scholar working on Plant Science, Food Science, Animal Science and Zoology, Biochemistry and Nutrition and Dietetics, having authored 35 papers that have together received 981 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (11 papers), Animal Nutrition and Physiology (9 papers), Phytochemicals and Antioxidant Activities (6 papers), Pesticide Residue Analysis and Safety (4 papers), Wheat and Barley Genetics and Pathology (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Biochemical effects in animals (3 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Animal Science and Zoology (187 citations), Food Science (276 citations), Nutrition and Dietetics (215 citations), Biochemistry (68 citations) and Plant Science (411 citations). Li Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Tiejun Li, Guixing Ren, Peiyou Qin, Hung‐Chia Chang, Jie Yin, Yulong Yin, Yang Yao, Liuqin He, Peng Liao and Wenkai Ren. Their work appears in journals such as Toxins, Food Chemistry, Amino Acids, PLoS ONE and Journal of Food Science.
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.