Huiqing Cao
- Aging top 1%
- Cancer Research top 2%
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 11
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 19
- Advanced biosensing and bioanalysis techniques 15
- CRISPR and Genetic Engineering 6
- Circular RNAs in diseases 6
- RNA modifications and cancer 5
- Biomaterials top 5%
- Biochemistry top 5%
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- Dendrimers and Hyperbranched Polymers 5
- Co-authors
- Zicai LiangXiaoxia WangGadiparthi N. RaoXiaorui HanBaolin ZhangYuanyu HuangQiang ChengLili Du
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (2 papers)Nano Letters (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Huiqing Cao
79 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 130
- Aging 170
- Cancer Research 762
- Molecular Biology 1.6k
- Biomaterials 193
- Biochemistry 90
Countries citing papers authored by Huiqing Cao
This map shows the geographic impact of Huiqing Cao'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 Huiqing Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiqing Cao more than expected).
Fields of papers citing papers by Huiqing Cao
This network shows the impact of papers produced by Huiqing Cao. 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 Huiqing Cao. The network helps show where Huiqing Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huiqing Cao, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 10 | |
| 6 | 2020 | 71 | |
| 7 | 2019 | 10 | |
| 8 | Full-length cloning and expression analysis of ScCes3 in sugarcane (Saccharum officinarum). | 2018 | 0 |
| 9 | 2018 | 45 | |
| 10 | 2018 | 62 | |
| 11 | 2017 | 2 | |
| 12 | 2016 | 49 | |
| 13 | 2016 | 48 | |
| 14 | 2013 | 10 | |
| 15 | 2013 | 17 | |
| 16 | 2012 | 28 | |
| 17 | 2012 | 25 | |
| 18 | Studies on the application of AFLP molecular markers on genetic diversity and classification of good and rare litchi resources in Guangxi | 2006 | 3 |
| 19 | 2005 | 72 | |
| 20 | nodD GENE PRODUCT AND THE nodA-D INTERGENIC REGION CAN FORM AS MANY AS SEVEN COMPLEXES | 1992 | 1 |
About Huiqing Cao
Huiqing Cao is a scholar working on Cancer Research, Aging and Molecular Biology, having authored 84 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (15 papers), MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (11 papers), CRISPR and Genetic Engineering (6 papers), Circular RNAs in diseases (6 papers), Dendrimers and Hyperbranched Polymers (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Aging (170 citations), Cancer Research (762 citations) and Molecular Biology (1.6k citations). Huiqing Cao has collaborated with scholars based in China, United States and India. Frequent co-authors include Zicai Liang, Xiaoxia Wang, Gadiparthi N. Rao, Xiaorui Han, Baolin Zhang, Yuanyu Huang, Qiang Cheng, Lili Du, Xiaoxia Wang and Yang Feng. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nano Letters.
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.