Cheng Ji
- Animal Science and Zoology top 0.5%
- Animal Nutrition and Physiology 23
- Meat and Animal Product Quality 8
- Plant Science top 1%
- Mycotoxins in Agriculture and Food 36
- Wheat and Barley Genetics and Pathology 9
- Plant Disease Resistance and Genetics 9
- Food Science top 2%
- Nutrition and Dietetics top 2%
- Insect Science top 2%
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- Biochemical Acid Research Studies 10
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- Coenzyme Q10 studies and effects 9
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- Biochemical effects in animals 5
- Journals
- Poultry Science (12 papers)Asian-Australasian Journal of Animal Sciences (10 papers)Toxins (9 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Cheng Ji
85 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 117
- Animal Science and Zoology 1.0k
- Plant Science 1.9k
- Food Science 513
- Nutrition and Dietetics 379
- Insect Science 290
Countries citing papers authored by Cheng Ji
This map shows the geographic impact of Cheng Ji'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 Cheng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Ji more than expected).
Fields of papers citing papers by Cheng Ji
This network shows the impact of papers produced by Cheng Ji. 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 Cheng Ji. The network helps show where Cheng Ji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cheng Ji, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 54 | |
| 6 | 2020 | 27 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 28 | |
| 9 | 2018 | 25 | |
| 10 | 2016 | 48 | |
| 11 | 2014 | 7 | |
| 12 | 2014 | 31 | |
| 13 | 2014 | 77 | |
| 14 | 2014 | 11 | |
| 15 | 2013 | 75 | |
| 16 | 2013 | 21 | |
| 17 | 2012 | 25 | |
| 18 | 2011 | 16 | |
| 19 | 2010 | 96 | |
| 20 | Ralationship Between Low Molecular Weight Peptide Releasing Patterns And Feed Quality During In Vitro Enzymatic Hydrolysis | 2004 | 2 |
About Cheng Ji
Cheng Ji is a scholar working on Animal Science and Zoology, Biochemistry, Plant Science, Nutrition and Dietetics and Microbiology, having authored 86 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (36 papers), Animal Nutrition and Physiology (23 papers), Biochemical Acid Research Studies (10 papers), Coenzyme Q10 studies and effects (9 papers), Wheat and Barley Genetics and Pathology (9 papers), Plant Disease Resistance and Genetics (9 papers), Meat and Animal Product Quality (8 papers) and Biochemical effects in animals (5 papers). The work is most often cited by research in Animal Science and Zoology (1.0k citations), Plant Science (1.9k citations), Food Science (513 citations), Nutrition and Dietetics (379 citations) and Insect Science (290 citations). Cheng Ji has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lihong Zhao, Qiugang Ma, Yu Fan, Jianyun Zhang, Yongpeng Guo, Ting Zhou, Qiugang Ma, Shu Guan, Yuanpei Lei and Lin Lü. Their work appears in journals such as Poultry Science, Asian-Australasian Journal of Animal Sciences, Toxins, Food and Chemical Toxicology and International Journal of Molecular Sciences.
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.