Qiong Wu
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 7
- Histone Deacetylase Inhibitors Research 4
- RNA modifications and cancer 4
- Oncology 18
- Cancer Cells and Metastasis 5
- Co-authors
- Daiming Fan (7 shared papers)Zhiping Yang (7 shared papers)Arnold B. Etame (13 shared papers)William B. Peeples (1 shared paper)Anders Berglund (10 shared papers)Rohit V. Pappu (1 shared paper)Anuradha Mittal (1 shared paper)Xingshun Qi (3 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Proceedings of the National Academy of Sciences (4 papers)Cells (3 papers)Cancers (3 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Qiong Wu
81 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 113
- Hepatology 125
- Cancer Research 202
- Molecular Biology 783
- Oncology 216
- Cellular and Molecular Neuroscience 140
Countries citing papers authored by Qiong Wu
This map shows the geographic impact of Qiong 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 Qiong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiong Wu more than expected).
Fields of papers citing papers by Qiong Wu
This network shows the impact of papers produced by Qiong 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 Qiong Wu. The network helps show where Qiong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiong 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 152 | |
| 2 | 2015 | 140 | |
| 3 | 2007 | 118 | |
| 4 | 2010 | 111 | |
| 5 | 2013 | 100 | |
| 6 | 2011 | 62 | |
| 7 | 2013 | 62 | |
| 8 | 2020 | 43 | |
| 9 | 2021 | 35 | |
| 10 | 2017 | 34 | |
| 11 | 2021 | 32 | |
| 12 | 2018 | 29 | |
| 13 | 2015 | 27 | |
| 14 | 2022 | 27 | |
| 15 | 2010 | 26 | |
| 16 | 2014 | 26 | |
| 17 | 2018 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2022 | 23 | |
| 20 | 2022 | 19 |
About Qiong Wu
Qiong Wu is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Immunology, having authored 97 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Epigenetics and DNA Methylation (7 papers), Cancer Cells and Metastasis (5 papers), Liver Disease and Transplantation (4 papers), Histone Deacetylase Inhibitors Research (4 papers), RNA modifications and cancer (4 papers), Immune cells in cancer (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Hepatology (125 citations), Cancer Research (202 citations), Molecular Biology (783 citations), Oncology (216 citations) and Cellular and Molecular Neuroscience (140 citations). Qiong Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Daiming Fan, Zhiping Yang, Arnold B. Etame, William B. Peeples, Anders Berglund, Rohit V. Pappu, Anuradha Mittal, Xingshun Qi, Sudeep Banjade and Michael K. Rosen. Their work appears in journals such as International Journal of Molecular Sciences, Proceedings of the National Academy of Sciences, Cells, Cancers and Scientific Reports.
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.