Lei Qu

3.5k citations
115 papers · 2.5k · h-index 30

Impact in

  • Genetics top 1%
    • Genetic and phenotypic traits in livestock
    • Animal Genetics and Reproduction
    • Genetic Mapping and Diversity in Plants and Animals
    • Cancer-related molecular mechanisms research

Papers in

    • 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
    • CRISPR and Genetic Engineering 5

Lei Qu

111 papers receiving 2.5k citations

Peers

Lei Qu
Comparison fields: 5 of 136
  • Genetics 1.2k
  • Cancer Research 561
  • Agronomy and Crop Science 281
  • Urology 166
  • Nephrology 176
Replace Qing Yang with:
Qing Yang China
Xiaoxue Zhang China
Jannette M. Dufour United States
Di Liu China
Wei Shen China
Yanli Zhang China
Ming Cheng China
Wanjun Chen China
Liqin Wang China
Lei Qu relative to Qing Yang China Qing Yang's profile →
Citations per field
00.5×10×16×
Qing Yang · 1×
Citations per year

Countries citing papers authored by Lei Qu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lei Qu Line = papers co-authored together Lei Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022115
2 2018110
3 201394
4 201882
5 201581
6 201781
7 201779
8 201776
9 201667
10 202063
11 201060
12 201858
13 201957
14 202054
15 201854
16 201951
17 201951
18 200745
19 200643
20 202041

About Lei Qu

Lei Qu is a scholar working on Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, Cancer Research and Nephrology, having authored 115 papers that have together received 2.5k 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 (15 papers), Reproductive Biology and Fertility (11 papers), Chronic Kidney Disease and Diabetes (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Genetics (1.2k citations), Cancer Research (561 citations), Agronomy and Crop Science (281 citations), Urology (166 citations) and Nephrology (176 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 Frontiers in Veterinary Science.

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.

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