Kaixing Qu
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
- Effects of Environmental Stressors on Livestock
Papers in
- Genetics 49
- Genetic and phenotypic traits in livestock 41
- Genetic Mapping and Diversity in Plants and Animals 16
- Genetic diversity and population structure 9
- Genomic variations and chromosomal abnormalities 5
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- Cancer-related molecular mechanisms research 26
- Co-authors
- Bizhi Huang (48 shared papers)Chuzhao Lei (45 shared papers)Jicai Zhang (29 shared papers)Ningbo Chen (23 shared papers)Hong Chen (22 shared papers)Ya‐Ping Zhang (4 shared papers)Jianyong Liu (16 shared papers)Quratulain Hanif (16 shared papers)
In The Last Decade
Kaixing Qu
61 papers receiving 718 citations
Peers
Comparison fields: 5 of 80
- Genetics 532
- Animal Science and Zoology 173
- Cancer Research 218
- Agronomy and Crop Science 125
- Molecular Biology 224
Countries citing papers authored by Kaixing Qu
This map shows the geographic impact of Kaixing 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 Kaixing Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaixing Qu more than expected).
Fields of papers citing papers by Kaixing Qu
This network shows the impact of papers produced by Kaixing 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 Kaixing Qu. The network helps show where Kaixing Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaixing 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 118 | |
| 2 | 2018 | 38 | |
| 3 | 2020 | 32 | |
| 4 | 2017 | 31 | |
| 5 | 2018 | 30 | |
| 6 | 2016 | 28 | |
| 7 | 2020 | 26 | |
| 8 | 2015 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 2019 | 24 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 20 | |
| 13 | 2023 | 19 | |
| 14 | 2019 | 19 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2022 | 12 | |
| 20 | 2019 | 12 |
About Kaixing Qu
Kaixing Qu is a scholar working on Genetics, Cancer Research, Molecular Biology, Animal Science and Zoology and Agronomy and Crop Science, having authored 67 papers that have together received 729 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (41 papers), Cancer-related molecular mechanisms research (26 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Effects of Environmental Stressors on Livestock (12 papers), Genetic diversity and population structure (9 papers), Meat and Animal Product Quality (9 papers), Livestock Farming and Management (6 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Genetics (532 citations), Animal Science and Zoology (173 citations), Cancer Research (218 citations), Agronomy and Crop Science (125 citations) and Molecular Biology (224 citations). Kaixing Qu has collaborated with scholars based in China, Pakistan and Denmark. Frequent co-authors include Bizhi Huang, Chuzhao Lei, Jicai Zhang, Ningbo Chen, Hong Chen, Ya‐Ping Zhang, Jianyong Liu, Quratulain Hanif, Guisheng Wu and Malliya Gounder Palanichamy. Their work appears in journals such as Animals, Animal Genetics, Frontiers in Genetics, Gene and Scientific Reports.
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.