Juncheng Dai
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 2%
- Sperm and Testicular Function
Papers in
-
- RNA modifications and cancer 48
- Epigenetics and DNA Methylation 18
- RNA Research and Splicing 10
- Cancer-related gene regulation 8
-
- Cancer-related molecular mechanisms research 34
- MicroRNA in disease regulation 18
- Co-authors
- Zhibin Hu (140 shared papers)Hongbing Shen (134 shared papers)Guangfu Jin (119 shared papers)Hongxia Ma (90 shared papers)Jing Dong (20 shared papers)Meng Zhu (72 shared papers)Yankai Xia (8 shared papers)Lin Xu (23 shared papers)
- Journals
- PLoS ONE (11 papers)Carcinogenesis (11 papers)International Journal of Cancer (10 papers)Cancer Medicine (8 papers)Molecular Carcinogenesis (7 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Juncheng Dai
224 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 164
- Cancer Research 1.6k
- Reproductive Medicine 311
- Molecular Biology 2.3k
- Obstetrics and Gynecology 144
- Oncology 443
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-authors
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
Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 261 | |
| 2 | 2012 | 251 | |
| 3 | 1999 | 245 | |
| 4 | 2021 | 227 | |
| 5 | 2011 | 196 | |
| 6 | 2014 | 193 | |
| 7 | 2012 | 182 | |
| 8 | 2015 | 174 | |
| 9 | 2018 | 172 | |
| 10 | 2012 | 132 | |
| 11 | 2013 | 117 | |
| 12 | 2021 | 68 | |
| 13 | 2021 | 65 | |
| 14 | 2009 | 62 | |
| 15 | 2012 | 57 | |
| 16 | 2009 | 57 | |
| 17 | 2022 | 52 | |
| 18 | 2013 | 52 | |
| 19 | 2015 | 51 | |
| 20 | 2016 | 49 |
About Juncheng Dai
Juncheng Dai is a scholar working on Molecular Biology, Cancer Research, Genetics, Epidemiology and Pulmonary and Respiratory Medicine, having authored 233 papers that have together received 5.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (48 papers), Cancer-related molecular mechanisms research (34 papers), Genetic Associations and Epidemiology (20 papers), Epigenetics and DNA Methylation (18 papers), MicroRNA in disease regulation (18 papers), Hepatitis B Virus Studies (11 papers), RNA Research and Splicing (10 papers) and Cancer-related gene regulation (8 papers). The work is most often cited by research in Cancer Research (1.6k citations), Reproductive Medicine (311 citations), Molecular Biology (2.3k citations), Obstetrics and Gynecology (144 citations) and Oncology (443 citations). Juncheng Dai has collaborated with scholars based in China, United States and South Korea. 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 PLoS ONE, Carcinogenesis, International Journal of Cancer, Cancer Medicine and Molecular Carcinogenesis.
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.