Lei Qu
Impact in
- Genetics top 1%
- Genetic and phenotypic traits in livestock
- Animal Genetics and Reproduction
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
- Genetics 55
- Genetic and phenotypic traits in livestock 36
- Animal Genetics and Reproduction 29
- Genetic Mapping and Diversity in Plants and Animals 15
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 6
- Co-authors
- Hailong Yan (27 shared papers)Haijing Zhu (41 shared papers)Chuanying Pan (37 shared papers)Ke Wang (21 shared papers)Xianyong Lan (33 shared papers)Jinwang Liu (16 shared papers)Yulin Chen (9 shared papers)Xianyong Lan (12 shared papers)
- Journals
- Theriogenology (10 papers)Animals (9 papers)Animal Genetics (4 papers)Gene (4 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Lei Qu
111 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 131
- Genetics 1.1k
- Cancer Research 505
- Urology 172
- Agronomy and Crop Science 273
- Nephrology 148
Countries citing papers authored by Lei Qu
This map shows the geographic impact of Lei Qu'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 Lei Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Qu more than expected).
Fields of papers citing papers by Lei Qu
This network shows the impact of papers produced by Lei Qu. 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 Lei Qu. The network helps show where Lei Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 131 | |
| 2 | 2018 | 110 | |
| 3 | 2013 | 93 | |
| 4 | 2018 | 84 | |
| 5 | 2015 | 82 | |
| 6 | 2017 | 82 | |
| 7 | 2017 | 79 | |
| 8 | 2017 | 76 | |
| 9 | 2016 | 68 | |
| 10 | 2020 | 63 | |
| 11 | 2010 | 60 | |
| 12 | 2018 | 58 | |
| 13 | 2019 | 57 | |
| 14 | 2018 | 55 | |
| 15 | 2020 | 55 | |
| 16 | 2019 | 52 | |
| 17 | 2019 | 51 | |
| 18 | 2007 | 45 | |
| 19 | 2021 | 42 | |
| 20 | 2006 | 42 |
About Lei Qu
Lei Qu is a scholar working on Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, Cancer Research and Agronomy and Crop Science, having authored 116 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (36 papers), Animal Genetics and Reproduction (29 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Cancer-related molecular mechanisms research (13 papers), Reproductive Biology and Fertility (11 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Hair Growth and Disorders (5 papers). The work is most often cited by research in Genetics (1.1k citations), Cancer Research (505 citations), Urology (172 citations), Agronomy and Crop Science (273 citations) and Nephrology (148 citations). Lei Qu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Hailong Yan, Haijing Zhu, Chuanying Pan, Ke Wang, Xianyong Lan, Jinwang Liu, Yulin Chen, Xianyong Lan, Xiaolong Wang and Qing Yang. Their work appears in journals such as Theriogenology, Animals, Animal Genetics, Gene 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.