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
- interferon and immune responses
Papers in
-
- RNA Interference and Gene Delivery 9
- Gut microbiota and health 4
- Immunology 17
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 4
- Co-authors
- Xuetao Cao (5 shared papers)Qiuyan Liu (3 shared papers)Yiquan Xue (2 shared papers)Junfang Xu (2 shared papers)Yanmei Han (2 shared papers)Zhengping Jiang (1 shared paper)Sheng Xu (1 shared paper)Pin Wang (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (3 papers)Medicine (2 papers)RSC Advances (2 papers)The Journal of Immunology (2 papers)International Journal of Nanomedicine (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Cong Wu
77 papers receiving 2.3k citations
Cong Wu's Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 921
- Immunology 488
- Molecular Biology 1.2k
- Biomaterials 117
- Oncology 174
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 78 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 | 901 |
| 2 | 2012 | 119 | |
| 3 | 2014 | 113 | |
| 4 | 2019 | 90 | |
| 5 | 2015 | 79 | |
| 6 | 2012 | 64 | |
| 7 | 2005 | 62 | |
| 8 | 2019 | 51 | |
| 9 | 2011 | 50 | |
| 10 | 2018 | 49 | |
| 11 | 2019 | 42 | |
| 12 | 2020 | 36 | |
| 13 | 2007 | 34 | |
| 14 | 2019 | 33 | |
| 15 | 2015 | 30 | |
| 16 | 2013 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2016 | 24 | |
| 19 | 2015 | 23 | |
| 20 | 2016 | 23 |
About Cong Wu
Cong Wu is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Biomedical Engineering, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (9 papers), Nanoplatforms for cancer theranostics (7 papers), MicroRNA in disease regulation (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Cancer-related molecular mechanisms research (5 papers), Immune Cell Function and Interaction (5 papers), Gut microbiota and health (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Cancer Research (921 citations), Immunology (488 citations), Molecular Biology (1.2k citations), Biomaterials (117 citations) and Oncology (174 citations). Cong Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Xuetao Cao, Qiuyan Liu, Yiquan Xue, Junfang Xu, Yanmei Han, Zhengping Jiang, Sheng Xu, Pin Wang, Lin Li and Zheng Xu. Their work appears in journals such as International Journal of Biological Macromolecules, Medicine, RSC Advances, The Journal of Immunology and International Journal of Nanomedicine.
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.