Han Qu
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Aging top 10%
- Endocrine and Autonomic Systems top 10%
- Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research 3
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- RNA modifications and cancer 5
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- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic and phenotypic traits in livestock 5
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- Biosensors and Analytical Detection 4
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- Genetics and Plant Breeding 4
- Journals
- Heredity (3 papers)Molecular Imaging and Biology (2 papers)Briefings in Bioinformatics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Han Qu
39 papers receiving 827 citations
Peers
Comparison fields: 5 of 113
- Cancer Research 232
- Aging 23
- Endocrine and Autonomic Systems 74
- Biophysics 48
- Molecular Biology 459
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 83 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 45 | |
| 15 | 2019 | 7 | |
| 16 | 2018 | 153 | |
| 17 | 2018 | 32 | |
| 18 | 2017 | 3 | |
| 19 | Probabilistic Graphical Model for Robust Point Set Matching | 2015 | 0 |
| 20 | 2015 | 6 |
About Han Qu
Han Qu is a scholar working on Aging, Instrumentation, Biophysics, Cancer Research and Endocrine and Autonomic Systems, having authored 44 papers that have together received 836 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (5 papers), RNA modifications and cancer (5 papers), Biosensors and Analytical Detection (4 papers), Cancer-related molecular mechanisms research (4 papers), Genetics and Plant Breeding (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (232 citations), Aging (23 citations), Endocrine and Autonomic Systems (74 citations), Biophysics (48 citations) and Molecular Biology (459 citations). Han Qu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhenyu Jia, Ruidong Li, Shibo Wang, Julong Wei, Renyuan Ma, Weide Zhong, Jianguo Zhu, Qianxue Li, Jianming Lü and Le Zhang. Their work appears in journals such as Heredity, Molecular Imaging and Biology, Briefings in Bioinformatics, Bioresource Technology and International Journal of Biological Macromolecules.
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.