Qingming Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Circular RNAs in diseases 7
- Gut microbiota and health 6
- Epigenetics and DNA Methylation 4
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Hui Long (14 shared papers)Xiaochen Xiang (9 shared papers)Qiang Wang (14 shared papers)Hongwei Ren (2 shared papers)Qiang Wang (7 shared papers)Wanxin Liu (7 shared papers)Fei Yao (2 shared papers)Xiaoqiong Chen (1 shared paper)
- Journals
- Diversity (4 papers)BioMed Research International (3 papers)Journal of Forestry Research (3 papers)Cancer Investigation (3 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaUnited StatesBelarus
In The Last Decade
Qingming Wu
67 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 276
- Infectious Diseases 310
- Neurology 118
- Molecular Biology 528
- Geriatrics and Gerontology 23
Countries citing papers authored by Qingming Wu
This map shows the geographic impact of Qingming Wu'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 Qingming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingming Wu more than expected).
Fields of papers citing papers by Qingming Wu
This network shows the impact of papers produced by Qingming Wu. 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 Qingming Wu. The network helps show where Qingming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingming Wu, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 175 | |
| 2 | 2020 | 140 | |
| 3 | 2020 | 110 | |
| 4 | 2017 | 108 | |
| 5 | 2023 | 82 | |
| 6 | 2022 | 77 | |
| 7 | 2021 | 76 | |
| 8 | 2019 | 66 | |
| 9 | 2015 | 62 | |
| 10 | 2017 | 50 | |
| 11 | 2016 | 46 | |
| 12 | 2021 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 28 | |
| 15 | 2022 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2021 | 20 | |
| 19 | 2020 | 20 | |
| 20 | 2020 | 19 |
About Qingming Wu
Qingming Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Ecology, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Circular RNAs in diseases (7 papers), Gut microbiota and health (6 papers), Cancer-related molecular mechanisms research (6 papers), Liver Disease Diagnosis and Treatment (5 papers), MicroRNA in disease regulation (5 papers), Wildlife Ecology and Conservation (4 papers), Epigenetics and DNA Methylation (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Cancer Research (276 citations), Infectious Diseases (310 citations), Neurology (118 citations), Molecular Biology (528 citations) and Geriatrics and Gerontology (23 citations). Qingming Wu has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Hui Long, Xiaochen Xiang, Qiang Wang, Hongwei Ren, Qiang Wang, Wanxin Liu, Fei Yao, Xiaoqiong Chen, Lisha Zhao and Lingli Xu. Their work appears in journals such as Diversity, BioMed Research International, Journal of Forestry Research, Cancer Investigation and Frontiers in Genetics.
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.