Dongjun Dai
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Molecular Biology top 10%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Breast Cancer Treatment Studies 3
- Cancer, Hypoxia, and Metabolism 1
-
- Head and Neck Cancer Studies 4
- Co-authors
- Xian Wang (16 shared papers)Hongchuan Jin (12 shared papers)Liyuan Zhu (6 shared papers)Hanying Wang (3 shared papers)Shiwei Duan (25 shared papers)Lifeng Feng (4 shared papers)Yiran Zhu (2 shared papers)Danjie Jiang (13 shared papers)
- Journals
- Biomedical Reports (6 papers)PLoS ONE (4 papers)Oncotarget (3 papers)PeerJ (3 papers)Cancers (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dongjun Dai
60 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 66
- Cancer Research 156
- Molecular Biology 615
- Otorhinolaryngology 31
- Rheumatology 51
- Psychiatry and Mental health 66
Countries citing papers authored by Dongjun Dai
This map shows the geographic impact of Dongjun 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 Dongjun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongjun Dai more than expected).
Fields of papers citing papers by Dongjun Dai
This network shows the impact of papers produced by Dongjun 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 Dongjun Dai. The network helps show where Dongjun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongjun 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 357 | |
| 2 | 2019 | 160 | |
| 3 | 2016 | 94 | |
| 4 | 2014 | 79 | |
| 5 | 2018 | 77 | |
| 6 | 2020 | 77 | |
| 7 | Epigenetic regulation of alternative splicing. | 2018 | 62 |
| 8 | 2017 | 56 | |
| 9 | 2014 | 51 | |
| 10 | 2022 | 45 | |
| 11 | 2014 | 40 | |
| 12 | 2016 | 40 | |
| 13 | 2015 | 35 | |
| 14 | 2014 | 31 | |
| 15 | Nomogram for predicting survival in triple-negative breast cancer patients with histology of infiltrating duct carcinoma: a population-based study. | 2018 | 30 |
| 16 | 2015 | 29 | |
| 17 | 2017 | 27 | |
| 18 | 2018 | 27 | |
| 19 | 2020 | 24 | |
| 20 | 2022 | 24 |
About Dongjun Dai
Dongjun Dai is a scholar working on Cancer Research, Otorhinolaryngology, Molecular Biology, Rheumatology and Neurology, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Genetic Associations and Epidemiology (4 papers), Head and Neck Cancer Studies (4 papers), Breast Cancer Treatment Studies (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), RNA modifications and cancer (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (156 citations), Molecular Biology (615 citations), Otorhinolaryngology (31 citations), Rheumatology (51 citations) and Psychiatry and Mental health (66 citations). Dongjun Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xian Wang, Hongchuan Jin, Liyuan Zhu, Hanying Wang, Shiwei Duan, Lifeng Feng, Yiran Zhu, Danjie Jiang, Wenxia Xu and Qichun Wei. Their work appears in journals such as Biomedical Reports, PLoS ONE, Oncotarget, PeerJ and Cancers.
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.