Can Cui
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Toxin Mechanisms and Immunotoxins
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 6
- Oncology 20
- Cancer Immunotherapy and Biomarkers 10
- CAR-T cell therapy research 6
- Colorectal Cancer Treatments and Studies 5
- Co-authors
- Donald M. Coen (2 shared papers)Nikhil S. Joshi (9 shared papers)Joseph Craft (5 shared papers)Xisong Ke (3 shared papers)Fei Yang (1 shared paper)Qian Li (1 shared paper)R. John Collier (3 shared papers)Kyoung Joon Oh (3 shared papers)
- Journals
- Theriogenology (2 papers)International Journal of Biological Macromolecules (2 papers)Frontiers in Immunology (2 papers)Frontiers in Genetics (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Can Cui
85 papers receiving 2.2k citations
Can Cui's Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 550
- Cancer Research 307
- Oncology 384
- Molecular Biology 860
- Epidemiology 262
Countries citing papers authored by Can Cui
This map shows the geographic impact of Can 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 Can Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Cui more than expected).
Fields of papers citing papers by Can Cui
This network shows the impact of papers produced by Can 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 Can Cui. The network helps show where Can Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neoantigen-driven B cell and CD4 T follicular helper cell collaboration promotes anti-tumor CD8 T cell responses Hit paper breakdown → | 2021 | 296 |
| 2 | 2006 | 184 | |
| 3 | 2021 | 161 | |
| 4 | 2018 | 125 | |
| 5 | 1996 | 98 | |
| 6 | 2022 | 95 | |
| 7 | 2022 | 86 | |
| 8 | 1995 | 75 | |
| 9 | 2020 | 69 | |
| 10 | 2022 | 53 | |
| 11 | 1997 | 48 | |
| 12 | 2004 | 46 | |
| 13 | 2013 | 45 | |
| 14 | 2023 | 44 | |
| 15 | 2019 | 42 | |
| 16 | 2022 | 38 | |
| 17 | 2019 | 37 | |
| 18 | 2009 | 36 | |
| 19 | 2014 | 34 | |
| 20 | 2024 | 30 |
About Can Cui
Can Cui is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), MicroRNA in disease regulation (8 papers), Immunotherapy and Immune Responses (7 papers), Circular RNAs in diseases (6 papers), CAR-T cell therapy research (6 papers), Colorectal Cancer Treatments and Studies (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (550 citations), Cancer Research (307 citations), Oncology (384 citations), Molecular Biology (860 citations) and Epidemiology (262 citations). Can Cui has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Donald M. Coen, Nikhil S. Joshi, Joseph Craft, Xisong Ke, Fei Yang, Qian Li, R. John Collier, Kyoung Joon Oh, Hangjun Zhan and Yi Qu. Their work appears in journals such as Theriogenology, International Journal of Biological Macromolecules, Frontiers in Immunology, Frontiers in Genetics and OncoTargets and Therapy.
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.