Guoliang Qing
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 16
- NF-κB Signaling Pathways 7
- Molecular Biology top 2%
- RNA modifications and cancer 11
- Ubiquitin and proteasome pathways 10
- Epigenetics and DNA Methylation 8
- Protein Degradation and Inhibitors 5
- Biochemistry top 2%
- Molecular Medicine top 5%
- Oncology top 5%
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- Neuroblastoma Research and Treatments 13
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- Acute Lymphoblastic Leukemia research 6
- Co-authors
- Hudan LiuHui ChenGutian XiaoMasayori InouyeM. Celeste SimonMitsuhiko IkuraZhaoxia QuJunjie Zhang
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (5 papers)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Guoliang Qing
52 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 1.5k
- Molecular Biology 3.0k
- Biochemistry 234
- Molecular Medicine 125
- Oncology 644
Countries citing papers authored by Guoliang Qing
This map shows the geographic impact of Guoliang Qing'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 Guoliang Qing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoliang Qing more than expected).
Fields of papers citing papers by Guoliang Qing
This network shows the impact of papers produced by Guoliang Qing. 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 Guoliang Qing. The network helps show where Guoliang Qing may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guoliang Qing, 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 | 2023 | 7 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 44 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 28 | |
| 8 | 2018 | 24 | |
| 9 | Targeting oncogenic Myc as a strategy for cancer treatmentbreakdown → | 2018 | 582 |
| 10 | 2017 | 30 | |
| 11 | 2016 | 7 | |
| 12 | 2016 | 35 | |
| 13 | 2014 | 344 | |
| 14 | 2014 | 26 | |
| 15 | 2014 | 29 | |
| 16 | 2010 | 128 | |
| 17 | 2007 | 32 | |
| 18 | 2005 | 43 | |
| 19 | 2004 | 44 | |
| 20 | 2004 | 45 |
About Guoliang Qing
Guoliang Qing is a scholar working on Cancer Research, Neurology and Molecular Biology, having authored 54 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (16 papers), Neuroblastoma Research and Treatments (13 papers), RNA modifications and cancer (11 papers), Ubiquitin and proteasome pathways (10 papers), Epigenetics and DNA Methylation (8 papers), NF-κB Signaling Pathways (7 papers), Acute Lymphoblastic Leukemia research (6 papers) and Protein Degradation and Inhibitors (5 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (3.0k citations) and Biochemistry (234 citations). Guoliang Qing has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Hudan Liu, Hui Chen, Gutian Xiao, Masayori Inouye, M. Celeste Simon, Mitsuhiko Ikura, Zhaoxia Qu, Junjie Zhang, Yonglong Zhang and Klaus P. Hoeflich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.