Liang‐Hu Qu
- Molecular Biology top 0.2%
- Cancer Research top 0.05%
- Plant Science top 0.5%
- Genetics top 2%
- Oncology top 5%
- Topics
- RNA modifications and cancer (84 papers)Cancer-related molecular mechanisms research (59 papers)RNA Research and Splicing (45 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Liang‐Hu Qu
194 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 11.8k
- Cancer Research 7.8k
- Plant Science 2.2k
- Genetics 748
- Oncology 606
Countries citing papers authored by Liang‐Hu Qu
This map shows the geographic impact of Liang‐Hu 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 Liang‐Hu Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang‐Hu Qu more than expected).
Fields of papers citing papers by Liang‐Hu Qu
This network shows the impact of papers produced by Liang‐Hu 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 Liang‐Hu Qu. The network helps show where Liang‐Hu Qu may publish in the future.
Co-authorship network of co-authors of Liang‐Hu Qu
This figure shows the co-authorship network connecting the top 25 collaborators of Liang‐Hu Qu. A scholar is included among the top collaborators of Liang‐Hu Qu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang‐Hu Qu. Liang‐Hu Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 18 | |
| 8 | 68 | |
| 9 | 32 | |
| 10 | 82 | |
| 11 | 149 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | Isolation and Identification of Genes Involved in Salt-Adaptation of Dunaliella salina by cDNA RDA | 1 |
| 15 | Characterization of Archaeal Diversity in the Leachate of a Traditional Landfill by Determining Restriction Fragment Length Polymorphisms of 16S rRNA Genes | 1 |
| 16 | Culture independent methods for studies on microbial ecology of soils | 1 |
| 17 | Metabolism of nucleic acid of Schistosoma japonicum in vivo | 1 |
| 18 | Key to molecular taxonomy--Principles and methods | 6 |
| 19 | 139 | |
| 20 | 9 |
About Liang‐Hu Qu
Liang‐Hu Qu is a scholar working on Cancer Research, Molecular Biology and Parasitology, having authored 198 papers that have together received 15.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (84 papers), Cancer-related molecular mechanisms research (59 papers) and RNA Research and Splicing (45 papers). The work is most often cited by research in Cancer Research (7.8k citations), Molecular Biology (11.8k citations) and Endocrinology (324 citations). Liang‐Hu Qu has collaborated with scholars based in China, United States and France. Frequent co-authors include Hui Zhou, Shun Liu, Jianhua Yang, Yujie Chen, Jianhua Yang, Peng Shao, Ling‐Ling Zheng, Junhao Li, Yu‐Chan Zhang and Jian‐You Liao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.