Zhijun Dai
- Molecular Biology top 2%
- Oncology top 1%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 2%
- Immunology top 5%
- Topics
- Cancer-related molecular mechanisms research (32 papers)RNA modifications and cancer (18 papers)MicroRNA in disease regulation (18 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaImmunity
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhijun Dai
286 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Molecular Biology 2.9k
- Oncology 1.8k
- Cancer Research 1.6k
- Pulmonary and Respiratory Medicine 889
- Immunology 883
Countries citing papers authored by Zhijun Dai
This map shows the geographic impact of Zhijun 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 Zhijun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhijun Dai more than expected).
Fields of papers citing papers by Zhijun Dai
This network shows the impact of papers produced by Zhijun 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 Zhijun Dai. The network helps show where Zhijun Dai may publish in the future.
Co-authorship network of co-authors of Zhijun Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Zhijun Dai. A scholar is included among the top collaborators of Zhijun Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhijun Dai. Zhijun Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 27 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | Therapeutic Effect of Doxorubicin-Chlorin E6-Loaded Mesoporous Silica Nanoparticles Combined with Ultrasound on Triple-Negative Breast Cancer | 1 |
| 12 | 13 | |
| 13 | 15 | |
| 14 | Association of two FOXP3 polymorphisms with breast cancer susceptibility in Chinese Han women | 1 |
| 15 | 19 | |
| 16 | Baicalein suppresses metastasis of breast cancer cells by inhibiting EMT via downregulation of SATB1 and Wnt/β-catenin pathway | 4 |
| 17 | 1 | |
| 18 | [HER-2 expression in local advanced breast cancer and the efficacy of neoadjuvant chemotherapy regimens]. | 4 |
| 19 | Composition of satellite remote sensing and digital topography applied in port projects | 1 |
| 20 | Effect of perindopril and metoprolol on left ventricular hypertrophy and performance in essential hypertension. | 11 |
About Zhijun Dai
Zhijun Dai is a scholar working on Cancer Research, Oncology and Pharmacology, having authored 301 papers that have together received 7.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (32 papers), RNA modifications and cancer (18 papers) and MicroRNA in disease regulation (18 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (1.8k citations) and Immunology (883 citations). Zhijun Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huafeng Kang, Yujiao Deng, Xi-Jing Wang, Yi Zheng, Shuai Lin, Zhen Zhai, Na Li, Peng Xu, Linghui Zhou and Xiaobin Ma. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Immunity.
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.