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 7
- Cancer-related molecular mechanisms research 6
- Immunology 20
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 6
- 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)Zhengping Jiang (1 shared paper)Pin Wang (1 shared paper)Lin Li (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (3 papers)Journal of Biomedical Nanotechnology (2 papers)The Journal of Immunology (2 papers)RSC Advances (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Cong Wu
74 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 1.0k
- Immunology 524
- Molecular Biology 1.3k
- Biomaterials 119
- Oncology 211
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 77 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 | 884 |
| 2 | 2012 | 113 | |
| 3 | 2014 | 107 | |
| 4 | 2019 | 86 | |
| 5 | 2015 | 78 | |
| 6 | 2012 | 63 | |
| 7 | 2005 | 60 | |
| 8 | 2019 | 50 | |
| 9 | 2011 | 50 | |
| 10 | 2018 | 45 | |
| 11 | 2019 | 40 | |
| 12 | 2007 | 34 | |
| 13 | 2020 | 33 | |
| 14 | 2019 | 32 | |
| 15 | 2015 | 27 | |
| 16 | 2013 | 25 | |
| 17 | 2016 | 24 | |
| 18 | 2016 | 23 | |
| 19 | 2015 | 23 | |
| 20 | 2021 | 21 |
About Cong Wu
Cong Wu is a scholar working on Cancer Research, Immunology, Biomaterials, Oncology and Molecular Biology, having authored 77 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (9 papers), Nanoparticle-Based Drug Delivery (7 papers), Nanoplatforms for cancer theranostics (7 papers), Immune Cell Function and Interaction (7 papers), MicroRNA in disease regulation (7 papers), Immunotherapy and Immune Responses (6 papers), Cancer-related molecular mechanisms research (6 papers) and Ferroptosis and cancer prognosis (5 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology (524 citations), Molecular Biology (1.3k citations), Biomaterials (119 citations) and Oncology (211 citations). Cong Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Xuetao Cao, Qiuyan Liu, Junfang Xu, Yiquan Xue, Yanmei Han, Zhengping Jiang, Pin Wang, Lin Li, Sheng Xu and Zheng Xu. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Biomedical Nanotechnology, The Journal of Immunology, RSC Advances and Medicine.
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.