Xinhua Wang
- Aquatic Science top 10%
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- Genetic and phenotypic traits in livestock 4
- Animal Genetics and Reproduction 3
- Genetic Syndromes and Imprinting 1
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- Adipose Tissue and Metabolism 2
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- Meat and Animal Product Quality 2
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- Cancer-related molecular mechanisms research 4
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- Molecular Biology Techniques and Applications 3
- Genomics and Phylogenetic Studies 3
- Cited by
- Aquatic ScienceGeneticsPhysiology
In The Last Decade
Xinhua Wang
18 papers receiving 162 citations
Peers
Comparison fields: 5 of 53
- Aquatic Science 31
- Genetics 82
- Physiology 10
- Animal Science and Zoology 21
- Cancer Research 20
Countries citing papers authored by Xinhua Wang
This map shows the geographic impact of Xinhua Wang'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 Xinhua Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinhua Wang more than expected).
Fields of papers citing papers by Xinhua Wang
This network shows the impact of papers produced by Xinhua Wang. 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 Xinhua Wang. The network helps show where Xinhua Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinhua Wang, 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 | 3 | |
| 3 | 2023 | 16 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 25 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 7 | |
| 9 | Research progress on maize Curvularia leaf spot caused by Curvularia lunata. | 2019 | 1 |
| 10 | 2018 | 5 | |
| 11 | 2017 | 7 | |
| 12 | 2017 | 25 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 2 | |
| 15 | Cloning and sequence analysis of sheep (Ovis aires) resistin gene (RETN) and its expression pattern in starving model. | 2015 | 1 |
| 16 | Polymorphism of the 60149273th Loci on X Chromosome Among Fat Tail and Thin Tail Breeds and Its Gene Mapping | 2013 | 1 |
| 17 | 2013 | 30 | |
| 18 | 2011 | 1 | |
| 19 | Molecular cloning, sequence analysis and eukaryotic expression of sheep growth hormone gene. | 2009 | 1 |
| 20 | 2009 | 5 |
About Xinhua Wang
Xinhua Wang is a scholar working on Cancer Research, Genetics, Animal Science and Zoology, Physiology and Molecular Biology, having authored 20 papers that have together received 165 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (4 papers), Cancer-related molecular mechanisms research (4 papers), Molecular Biology Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (3 papers), Animal Genetics and Reproduction (3 papers), Adipose Tissue and Metabolism (2 papers), Meat and Animal Product Quality (2 papers) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Aquatic Science (31 citations), Genetics (82 citations), Physiology (10 citations), Animal Science and Zoology (21 citations) and Cancer Research (20 citations). Xinhua Wang has collaborated with scholars based in China, Canada and Israel. Frequent co-authors include Jingou Tong, Xiaomu Yu, Beide Fu, Xiao‐Long Lin, Haiyang Liu, Xiu Feng, Chenguang Zheng, Wenjun Bu, Shangquan Gan and Liping Yan. Their work appears in journals such as Aquaculture, Molecular Biology Reports, Gene, Journal of Food Composition and Analysis 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.