Daicheng Liu
Impact in
- Food Science top 10%
- Melamine detection and toxicity
- Animal Diversity and Health Studies
- Animal Science and Zoology top 10%
- Meat and Animal Product Quality
Papers in
-
- Identification and Quantification in Food 3
-
- Aquaculture Nutrition and Growth 4
- Co-authors
- Yan Wang (1 shared paper)Fei Liu (1 shared paper)Mengyao Wang (1 shared paper)Xin Zhang (1 shared paper)Yingjie Zhao (1 shared paper)Shasha Zhang (1 shared paper)Zhiqiang Shi (1 shared paper)Wenfeng Jiang (1 shared paper)
- Journals
- European Food Research and Technology (2 papers)Toxicology and Industrial Health (2 papers)Journal of Separation Science (2 papers)Food Research International (1 paper)PLoS ONE (1 paper)
- Partner nations
- China
In The Last Decade
Daicheng Liu
19 papers receiving 332 citations
Peers
Comparison fields: 5 of 91
- Food Science 102
- Animal Science and Zoology 43
- Health, Toxicology and Mutagenesis 51
- Biochemistry 19
- Analytical Chemistry 30
Countries citing papers authored by Daicheng Liu
This map shows the geographic impact of Daicheng Liu'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 Daicheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daicheng Liu more than expected).
Fields of papers citing papers by Daicheng Liu
This network shows the impact of papers produced by Daicheng Liu. 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 Daicheng Liu. The network helps show where Daicheng Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daicheng Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 105 | |
| 2 | 2011 | 45 | |
| 3 | 2011 | 32 | |
| 4 | 2014 | 27 | |
| 5 | 2016 | 22 | |
| 6 | 2009 | 21 | |
| 7 | 2023 | 18 | |
| 8 | 2019 | 14 | |
| 9 | 2013 | 12 | |
| 10 | 2017 | 8 | |
| 11 | 2014 | 8 | |
| 12 | 2014 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2013 | 6 | |
| 15 | 2013 | 6 | |
| 16 | 2014 | 3 | |
| 17 | Optimization of Processing Technology for Rosa roxburghii Wine | 2008 | 1 |
| 18 | 2013 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2008 | 0 |
About Daicheng Liu
Daicheng Liu is a scholar working on Molecular Biology, Aquatic Science, Health, Toxicology and Mutagenesis, Animal Science and Zoology and Biochemistry, having authored 20 papers that have together received 345 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (4 papers), Meat and Animal Product Quality (4 papers), Antioxidant Activity and Oxidative Stress (3 papers), Identification and Quantification in Food (3 papers), Hormonal and reproductive studies (2 papers), Melamine detection and toxicity (2 papers), Mercury impact and mitigation studies (2 papers) and Free Radicals and Antioxidants (2 papers). The work is most often cited by research in Food Science (102 citations), Animal Science and Zoology (43 citations), Health, Toxicology and Mutagenesis (51 citations), Biochemistry (19 citations) and Analytical Chemistry (30 citations). Daicheng Liu has collaborated with scholars based in China. Frequent co-authors include Yan Wang, Fei Liu, Mengyao Wang, Xin Zhang, Yingjie Zhao, Shasha Zhang, Zhiqiang Shi, Wenfeng Jiang, Daijie Wang and Xiaoyun Sun. Their work appears in journals such as European Food Research and Technology, Toxicology and Industrial Health, Journal of Separation Science, Food Research International and PLoS ONE.
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.