Zhangrui Cheng
- Agronomy and Crop Science top 0.1%
- Reproductive Physiology in Livestock 43
- Ruminant Nutrition and Digestive Physiology 9
- Animal Science and Zoology top 1%
- Small Animals top 1%
- Genetics top 1%
- Genetic and phenotypic traits in livestock 18
- Equine top 2%
-
- Inflammatory mediators and NSAID effects 14
- Antibiotics Pharmacokinetics and Efficacy 9
-
- Reproductive System and Pregnancy 12
-
- Fatty Acid Research and Health 12
-
- Cancer-related molecular mechanisms research 8
Zhangrui Cheng
89 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 127
- Agronomy and Crop Science 2.1k
- Animal Science and Zoology 585
- Small Animals 356
- Genetics 1.2k
- Equine 71
Countries citing papers authored by Zhangrui Cheng
This map shows the geographic impact of Zhangrui Cheng'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 Zhangrui Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhangrui Cheng more than expected).
Fields of papers citing papers by Zhangrui Cheng
This network shows the impact of papers produced by Zhangrui Cheng. 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 Zhangrui Cheng. The network helps show where Zhangrui Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhangrui Cheng, 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 | 2023 | 10 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 28 | |
| 8 | 2021 | 14 | |
| 9 | 2019 | 34 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 59 | |
| 12 | 2015 | 49 | |
| 13 | 2015 | 39 | |
| 14 | 2012 | 28 | |
| 15 | 2007 | 96 | |
| 16 | 2006 | 267 | |
| 17 | 2005 | 20 | |
| 18 | EFFECT OF DIETARY N-6 POLYUNSATURATED FATTY ACIDS (PUFAS) ON PROSTAGLANDINS (PG) PRODUCED BY MATERNAL INTERCOTYLEDONARY ENDOMETRIAL (IC) TISSUES IN LATE PREGNANT EWES | 2003 | 1 |
| 19 | Prostaglandin production and timing of parturition in sheep fed a diet high in n-6 polyunsaturated fatty acids | 2003 | 4 |
| 20 | EFFECT OF N-6 POLYUNSATURATED FATTY ACIDS ON PROSTAGLANDIN PRODUCTION BY OVINE UTERINE EPITHELIAL CELLS IN VITRO | 2001 | 2 |
About Zhangrui Cheng
Zhangrui Cheng is a scholar working on Agronomy and Crop Science, Pharmacology and Small Animals, having authored 94 papers that have together received 3.3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (43 papers), Genetic and phenotypic traits in livestock (18 papers), Inflammatory mediators and NSAID effects (14 papers), Reproductive System and Pregnancy (12 papers), Fatty Acid Research and Health (12 papers), Ruminant Nutrition and Digestive Physiology (9 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Agronomy and Crop Science (2.1k citations), Animal Science and Zoology (585 citations) and Small Animals (356 citations). Zhangrui Cheng has collaborated with scholars based in United Kingdom, China and Ireland. Frequent co-authors include D.C. Wathes, N. Bourne, Mark A. Fenwick, Victoria Taylor, Richard Fitzpatrick, D.R.E. Abayasekara, M.P. Coffey, J. Patton, D.A. Kenny and Robert Robinson. Their work appears in journals such as PLoS ONE, The Journal of Physiology 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.