Han Qu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aging top 10%
Papers in
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- Advanced biosensing and bioanalysis techniques 3
-
- Genetics and Plant Breeding 4
- Co-authors
- Zhenyu Jia (15 shared papers)Ruidong Li (12 shared papers)Shibo Wang (10 shared papers)Julong Wei (6 shared papers)Weide Zhong (7 shared papers)Jianguo Zhu (7 shared papers)Renyuan Ma (8 shared papers)Qianxue Li (8 shared papers)
- Journals
- Heredity (3 papers)Molecular Imaging and Biology (2 papers)Bioresource Technology (2 papers)Briefings in Bioinformatics (2 papers)Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Han Qu
40 papers receiving 898 citations
Peers
Comparison fields: 5 of 114
- Cancer Research 181
- Aging 23
- Endocrine and Autonomic Systems 81
- Biophysics 52
- Molecular Biology 415
Countries citing papers authored by Han Qu
This map shows the geographic impact of Han 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 Han Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Qu more than expected).
Fields of papers citing papers by Han Qu
This network shows the impact of papers produced by Han 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 Han Qu. The network helps show where Han Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 157 | |
| 2 | 2017 | 131 | |
| 3 | 2023 | 91 | |
| 4 | 2021 | 88 | |
| 5 | 2019 | 52 | |
| 6 | 2021 | 44 | |
| 7 | 2021 | 39 | |
| 8 | 2018 | 34 | |
| 9 | 2021 | 34 | |
| 10 | 2017 | 30 | |
| 11 | 2020 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2023 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2023 | 10 |
About Han Qu
Han Qu is a scholar working on Molecular Biology, Plant Science, Genetics, Biomedical Engineering and Astronomy and Astrophysics, having authored 47 papers that have together received 908 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Biosensors and Analytical Detection (4 papers), Genetics and Plant Breeding (4 papers), Stellar, planetary, and galactic studies (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Wastewater Treatment and Nitrogen Removal (3 papers). The work is most often cited by research in Cancer Research (181 citations), Aging (23 citations), Endocrine and Autonomic Systems (81 citations), Biophysics (52 citations) and Molecular Biology (415 citations). Han Qu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhenyu Jia, Ruidong Li, Shibo Wang, Julong Wei, Weide Zhong, Jianguo Zhu, Renyuan Ma, Qianxue Li, Jianming Lü and Meng Qu. Their work appears in journals such as Heredity, Molecular Imaging and Biology, Bioresource Technology, Briefings in Bioinformatics and Bioinformatics.
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.