Qiuyue Liu
- Developmental Neuroscience top 2%
- Soil Science top 2%
- Soil Carbon and Nitrogen Dynamics 14
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock 16
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 20
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- Genetic and phenotypic traits in livestock 33
- Genetic Mapping and Diversity in Plants and Animals 13
- Animal Genetics and Reproduction 13
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- Reproductive Biology and Fertility 12
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- Advancements in Battery Materials 9
- Co-authors
- Xianmin ZengMahendra S. RaoJun PengHai‐Lin ZhangXin ZhaoZheng‐Rong KanJianying QiMingxing Chu
- Journals
- Advanced Materials (1 paper)Nature Genetics (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Qiuyue Liu
146 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Developmental Neuroscience 249
- Soil Science 535
- Agronomy and Crop Science 341
- Cancer Research 365
- Cellular and Molecular Neuroscience 367
Countries citing papers authored by Qiuyue Liu
This map shows the geographic impact of Qiuyue 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 Qiuyue Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiuyue Liu more than expected).
Fields of papers citing papers by Qiuyue Liu
This network shows the impact of papers produced by Qiuyue 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 Qiuyue Liu. The network helps show where Qiuyue Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qiuyue 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 8 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 37 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 6 | |
| 16 | 2018 | 49 | |
| 17 | Research progress on neuroendocrinology controlling sheep seasonal reproduction. | 2018 | 1 |
| 18 | Establishment of high-throughput molecular detection methods for ovine high fecundity major gene FecB and their application. | 2017 | 10 |
| 19 | Expression analysis of DIO2 and DIO3 genes related to reproductive seasonality in goats (Capra hircus). | 2016 | 2 |
| 20 | 2013 | 26 |
About Qiuyue Liu
Qiuyue Liu is a scholar working on Agronomy and Crop Science, Developmental Neuroscience and Cancer Research, having authored 158 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (33 papers), Cancer-related molecular mechanisms research (20 papers), Reproductive Physiology in Livestock (16 papers), Soil Carbon and Nitrogen Dynamics (14 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Animal Genetics and Reproduction (13 papers), Reproductive Biology and Fertility (12 papers) and Advancements in Battery Materials (9 papers). The work is most often cited by research in Developmental Neuroscience (249 citations), Soil Science (535 citations) and Agronomy and Crop Science (341 citations). Qiuyue Liu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Xianmin Zeng, Mahendra S. Rao, Jun Peng, Hai‐Lin Zhang, Xin Zhao, Zheng‐Rong Kan, Jianying Qi, Mingxing Chu, Ran Di and Cong He. Their work appears in journals such as Advanced Materials, Nature Genetics and SHILAP Revista de lepidopterología.
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.