Dejun Cui
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 5
- Glycosylation and Glycoproteins Research 2
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Tianke Li (1 shared paper)Xiaoli Huang (1 shared paper)Qin Xie (1 shared paper)Fu‐Qian He (1 shared paper)Huatian Gan (1 shared paper)Xiaohui Zhang (1 shared paper)Chen Chen (2 shared papers)Daping Yang (3 shared papers)
- Journals
- Aging (2 papers)Translational Oncology (1 paper)Anti-Cancer Drugs (1 paper)Frontiers in Microbiology (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Dejun Cui
34 papers receiving 396 citations
Peers
Comparison fields: 5 of 72
- Biological Psychiatry 10
- Cancer Research 59
- Neurology 28
- Pharmacology 50
- Pharmacology 22
Countries citing papers authored by Dejun Cui
This map shows the geographic impact of Dejun Cui'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 Dejun Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Cui more than expected).
Fields of papers citing papers by Dejun Cui
This network shows the impact of papers produced by Dejun Cui. 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 Dejun Cui. The network helps show where Dejun Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejun Cui, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 104 | |
| 2 | 2021 | 31 | |
| 3 | 2017 | 27 | |
| 4 | 2013 | 24 | |
| 5 | 2022 | 21 | |
| 6 | Primary intestinal NK/T cell lymphoma: a clinicopathologic study of 25 Chinese cases. | 2012 | 19 |
| 7 | 2022 | 16 | |
| 8 | 2017 | 14 | |
| 9 | 2025 | 12 | |
| 10 | Identification of colorectal cancer-associated macrophage biomarkers by integrated bioinformatic analysis. | 2021 | 11 |
| 11 | 2017 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2013 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2022 | 6 | |
| 19 | [Analysis of measles immunity level in persistent populations in Beijing, 2012]. | 2013 | 6 |
| 20 | 2024 | 5 |
About Dejun Cui
Dejun Cui is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 402 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers), Inflammatory Bowel Disease (4 papers), Ferroptosis and cancer prognosis (3 papers), Immune cells in cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Biological Psychiatry (10 citations), Cancer Research (59 citations), Neurology (28 citations), Pharmacology (50 citations) and Pharmacology (22 citations). Dejun Cui has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tianke Li, Xiaoli Huang, Qin Xie, Fu‐Qian He, Huatian Gan, Xiaohui Zhang, Chen Chen, Daping Yang, Lu Han and Bo Huang. Their work appears in journals such as Aging, Translational Oncology, Anti-Cancer Drugs, Frontiers in Microbiology and Frontiers in Pharmacology.
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.