Cong Dai
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
Papers in
-
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 6
- Circular RNAs in diseases 4
- RNA modifications and cancer 4
- Wnt/β-catenin signaling in development and cancer 4
- Oncology 23
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Zhijun Dai (46 shared papers)Shuai Lin (34 shared papers)Kang Liu (24 shared papers)Xinghan Liu (27 shared papers)Peng Xu (17 shared papers)Hong‐Bao Li (5 shared papers)Huafeng Kang (19 shared papers)Yujiao Deng (14 shared papers)
- Journals
- Oncotarget (10 papers)Aging (5 papers)Scientific Reports (4 papers)Medicine (4 papers)Cancer Management and Research (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cong Dai
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 321
- Oncology 329
- Molecular Biology 636
- Infectious Diseases 152
- Immunology 154
Countries citing papers authored by Cong Dai
This map shows the geographic impact of Cong Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Dai more than expected).
Fields of papers citing papers by Cong Dai
This network shows the impact of papers produced by Cong Dai. 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 Dai. The network helps show where Cong Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Dai, 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 | 2020 | 217 | |
| 2 | 2019 | 142 | |
| 3 | 2018 | 77 | |
| 4 | 2018 | 62 | |
| 5 | 2016 | 58 | |
| 6 | 2019 | 50 | |
| 7 | 2016 | 44 | |
| 8 | 2016 | 43 | |
| 9 | 2020 | 40 | |
| 10 | 2019 | 39 | |
| 11 | 2016 | 36 | |
| 12 | 2017 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 30 | |
| 15 | 2023 | 29 | |
| 16 | 2021 | 27 | |
| 17 | 2018 | 26 | |
| 18 | 2017 | 24 | |
| 19 | 2019 | 24 | |
| 20 | 2016 | 22 |
About Cong Dai
Cong Dai is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (6 papers), Cancer-related molecular mechanisms research (6 papers), Genetic factors in colorectal cancer (4 papers), Circular RNAs in diseases (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), RNA modifications and cancer (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Cancer Research (321 citations), Oncology (329 citations), Molecular Biology (636 citations), Infectious Diseases (152 citations) and Immunology (154 citations). Cong Dai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhijun Dai, Shuai Lin, Kang Liu, Xinghan Liu, Peng Xu, Hong‐Bao Li, Huafeng Kang, Yujiao Deng, Hui Zhang and Jun Lyu. Their work appears in journals such as Oncotarget, Aging, Scientific Reports, Medicine and Cancer Management and Research.
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.