Chun Luo
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
Papers in
- Genetics 14
- Glioma Diagnosis and Treatment 13
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Co-authors
- Yicheng Lu (31 shared papers)Guohan Hu (23 shared papers)Juxiang Chen (14 shared papers)Huairui Chen (13 shared papers)Lijun Hou (5 shared papers)Junle Zhu (14 shared papers)Jun Qian (9 shared papers)Kevin B. Ryan (2 shared papers)
- Journals
- Journal of Neuro-Oncology (4 papers)Brain Research (4 papers)NeuroMolecular Medicine (2 papers)Operative Neurosurgery (2 papers)Tumor Biology (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Chun Luo
88 papers receiving 2.4k citations
Chun Luo's Hit Papers
Peers
Comparison fields: 5 of 141
- Cancer Research 338
- Molecular Biology 1.1k
- Genetics 123
- Cell Biology 168
- Neurology 137
Countries citing papers authored by Chun Luo
This map shows the geographic impact of Chun Luo'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 Chun Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Luo more than expected).
Fields of papers citing papers by Chun Luo
This network shows the impact of papers produced by Chun Luo. 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 Chun Luo. The network helps show where Chun Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Luo, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Majorbio Cloud: A one‐stop, comprehensive bioinformatic platform for multiomics analyses Hit paper breakdown → | 2022 | 697 |
| 2 | 2000 | 171 | |
| 3 | 2017 | 89 | |
| 4 | 2010 | 83 | |
| 5 | 2019 | 83 | |
| 6 | 2011 | 80 | |
| 7 | 2013 | 74 | |
| 8 | 2019 | 73 | |
| 9 | 2011 | 46 | |
| 10 | 2012 | 45 | |
| 11 | 2008 | 44 | |
| 12 | 2021 | 42 | |
| 13 | 2009 | 41 | |
| 14 | 2009 | 39 | |
| 15 | 2008 | 38 | |
| 16 | 2014 | 37 | |
| 17 | 2021 | 37 | |
| 18 | 1997 | 36 | |
| 19 | 2021 | 33 | |
| 20 | 2013 | 33 |
About Chun Luo
Chun Luo is a scholar working on Genetics, Cancer Research, Molecular Biology, Neurology and Cell Biology, having authored 92 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), MicroRNA in disease regulation (6 papers), Microtubule and mitosis dynamics (6 papers), Meningioma and schwannoma management (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer-related Molecular Pathways (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Cancer Research (338 citations), Molecular Biology (1.1k citations), Genetics (123 citations), Cell Biology (168 citations) and Neurology (137 citations). Chun Luo has collaborated with scholars based in China, United States and France. Frequent co-authors include Yicheng Lu, Guohan Hu, Juxiang Chen, Huairui Chen, Lijun Hou, Junle Zhu, Jun Qian, Kevin B. Ryan, Junyu Wang and Zhiping Wan. Their work appears in journals such as Journal of Neuro-Oncology, Brain Research, NeuroMolecular Medicine, Operative Neurosurgery and Tumor Biology.
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.