Cong Wu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Immunology 17
- Immune Cell Function and Interaction 5
- Co-authors
- Xuetao Cao (5 shared papers)Qiuyan Liu (3 shared papers)Junfang Xu (2 shared papers)Yiquan Xue (2 shared papers)Yanmei Han (2 shared papers)Pin Wang (1 shared paper)Sheng Xu (1 shared paper)Zhengping Jiang (1 shared paper)
- Journals
- RSC Advances (2 papers)Medicine (2 papers)Journal of Biomedical Nanotechnology (2 papers)The Journal of Immunology (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Cong Wu
78 papers receiving 2.6k citations
Cong Wu's Hit Papers
Peers
Comparison fields: 5 of 112
- Cancer Research 941
- Immunology 500
- Molecular Biology 1.3k
- Oncology 272
- Biomaterials 118
Countries citing papers authored by Cong Wu
This map shows the geographic impact of Cong 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 Cong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Wu more than expected).
Fields of papers citing papers by Cong Wu
This network shows the impact of papers produced by Cong 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 Cong Wu. The network helps show where Cong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The STAT3-Binding Long Noncoding RNA lnc-DC Controls Human Dendritic Cell Differentiation Hit paper breakdown → | 2014 | 923 |
| 2 | 2019 | 175 | |
| 3 | 2012 | 122 | |
| 4 | 2014 | 116 | |
| 5 | 2019 | 92 | |
| 6 | 2015 | 82 | |
| 7 | 2012 | 66 | |
| 8 | 2005 | 65 | |
| 9 | 2019 | 54 | |
| 10 | 2011 | 51 | |
| 11 | 2018 | 49 | |
| 12 | 2019 | 45 | |
| 13 | 2020 | 37 | |
| 14 | 2007 | 34 | |
| 15 | 2019 | 33 | |
| 16 | 2015 | 30 | |
| 17 | 2013 | 27 | |
| 18 | 2021 | 27 | |
| 19 | 2016 | 24 | |
| 20 | 2016 | 24 |
About Cong Wu
Cong Wu is a scholar working on Cancer Research, Immunology, Molecular Biology, Oncology and Biomaterials, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (9 papers), Nanoplatforms for cancer theranostics (7 papers), Nanoparticle-Based Drug Delivery (6 papers), Immune Cell Function and Interaction (5 papers), MicroRNA in disease regulation (5 papers), Gut microbiota and health (4 papers), Ferroptosis and cancer prognosis (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (941 citations), Immunology (500 citations), Molecular Biology (1.3k citations), Oncology (272 citations) and Biomaterials (118 citations). Cong Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xuetao Cao, Qiuyan Liu, Junfang Xu, Yiquan Xue, Yanmei Han, Pin Wang, Sheng Xu, Zhengping Jiang, Lin Li and Pin Wang. Their work appears in journals such as RSC Advances, Medicine, Journal of Biomedical Nanotechnology, The Journal of Immunology and International Journal of Biological Macromolecules.
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.