Juncheng Dai
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research 41
- MicroRNA in disease regulation 20
- Reproductive Medicine top 2%
- Molecular Biology top 2%
- RNA modifications and cancer 63
- Epigenetics and DNA Methylation 21
- Cancer-related gene regulation 12
- Obstetrics and Gynecology top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology 28
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- Hepatitis B Virus Studies 14
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- Genetic factors in colorectal cancer 14
- Journals
- Molecular Carcinogenesis (12 papers)PLoS ONE (11 papers)International Journal of Cancer (11 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Juncheng Dai
228 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 173
- Cancer Research 2.1k
- Reproductive Medicine 375
- Molecular Biology 2.9k
- Obstetrics and Gynecology 215
- Genetics 652
Countries citing papers authored by Juncheng Dai
This map shows the geographic impact of Juncheng 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 Juncheng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juncheng Dai more than expected).
Fields of papers citing papers by Juncheng Dai
This network shows the impact of papers produced by Juncheng 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 Juncheng Dai. The network helps show where Juncheng Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juncheng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 51 | |
| 6 | 2022 | 39 | |
| 7 | 2021 | 65 | |
| 8 | 2021 | 213 | |
| 9 | 2021 | 23 | |
| 10 | 2019 | 11 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 11 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 9 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 9 | |
| 17 | 2012 | 2 | |
| 18 | 2011 | 196 | |
| 19 | AN ANALYSIS OF THE RELATION BETWEEN THE ENTERPRISE NETWORK CHARACTERISTICS AND THEIR INNOVATION CAPABILITIES IN THE SPACE OF DRC ON BEIJING | 2011 | 2 |
| 20 | On Image Space of Campus:a Case Study of China University of Geosciences in Wuhan | 2009 | 1 |
About Juncheng Dai
Juncheng Dai is a scholar working on Cancer Research, Molecular Biology, Genetics, Hepatology and Urban Studies, having authored 238 papers that have together received 5.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (63 papers), Cancer-related molecular mechanisms research (41 papers), Genetic Associations and Epidemiology (28 papers), Epigenetics and DNA Methylation (21 papers), MicroRNA in disease regulation (20 papers), Hepatitis B Virus Studies (14 papers), Genetic factors in colorectal cancer (14 papers) and Cancer-related gene regulation (12 papers). The work is most often cited by research in Cancer Research (2.1k citations), Reproductive Medicine (375 citations), Molecular Biology (2.9k citations), Obstetrics and Gynecology (215 citations) and Genetics (652 citations). Juncheng Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhibin Hu, Hongbing Shen, Guangfu Jin, Hongxia Ma, Jing Dong, Meng Zhu, Yankai Xia, Lin Xu, Na Qin and Yue Jiang. Their work appears in journals such as Molecular Carcinogenesis, PLoS ONE, International Journal of Cancer, Carcinogenesis and Cancer 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.