Cong Cao
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Geriatrics and Gerontology top 5%
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 8
- Genomics, phytochemicals, and oxidative stress 7
- Protein Kinase Regulation and GTPase Signaling 6
- Circular RNAs in diseases 5
- Angiogenesis and VEGF in Cancer 5
- Ubiquitin and proteasome pathways 5
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 7
- Co-authors
- Qin Jiang (17 shared papers)Zhi-qing Zhang (21 shared papers)Jin Yao (10 shared papers)Wen‐Ming Chu (12 shared papers)Yinsheng Wan (9 shared papers)Keran Li (9 shared papers)Yuxia Zhao (3 shared papers)Nicola Kouttab (5 shared papers)
- Journals
- Theranostics (6 papers)PLoS ONE (6 papers)International Journal of Biological Sciences (4 papers)Oncotarget (4 papers)The FASEB Journal (4 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Cong Cao
98 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 673
- Geriatrics and Gerontology 121
- Molecular Biology 2.1k
- Biological Psychiatry 58
- Cell Biology 350
Countries citing papers authored by Cong Cao
This map shows the geographic impact of Cong Cao'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 Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Cao more than expected).
Fields of papers citing papers by Cong Cao
This network shows the impact of papers produced by Cong Cao. 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 Cao. The network helps show where Cong Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Cao, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 229 | |
| 2 | 2013 | 147 | |
| 3 | 2008 | 143 | |
| 4 | 2009 | 123 | |
| 5 | 2015 | 114 | |
| 6 | 2006 | 109 | |
| 7 | 2014 | 104 | |
| 8 | 2008 | 101 | |
| 9 | 2005 | 96 | |
| 10 | 2018 | 92 | |
| 11 | 2018 | 85 | |
| 12 | 2007 | 85 | |
| 13 | 2012 | 82 | |
| 14 | 2016 | 78 | |
| 15 | 2016 | 77 | |
| 16 | 2015 | 71 | |
| 17 | 2013 | 63 | |
| 18 | 2018 | 62 | |
| 19 | 2019 | 61 | |
| 20 | 2021 | 61 |
About Cong Cao
Cong Cao is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Immunology, having authored 103 papers that have together received 3.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Circular RNAs in diseases (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Cancer Research (673 citations), Geriatrics and Gerontology (121 citations), Molecular Biology (2.1k citations), Biological Psychiatry (58 citations) and Cell Biology (350 citations). Cong Cao has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Qin Jiang, Zhi-qing Zhang, Jin Yao, Wen‐Ming Chu, Yinsheng Wan, Keran Li, Yuxia Zhao, Nicola Kouttab, John Marshall and Shan Lü. Their work appears in journals such as Theranostics, PLoS ONE, International Journal of Biological Sciences, Oncotarget and The FASEB Journal.
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.