Dan Yu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Cells and Metastasis
- Drug Transport and Resistance Mechanisms
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 17
- Cancer Cells and Metastasis 4
- Drug Transport and Resistance Mechanisms 4
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Xue Zhao (16 shared papers)Xueshibojie Liu (8 shared papers)Chunshun Jin (12 shared papers)Jinzhang Cheng (9 shared papers)Chunsong Yang (4 shared papers)Kai Xue (4 shared papers)Lingli Zhang (2 shared papers)Guanghong Han (2 shared papers)
- Journals
- Medicine (3 papers)OncoTargets and Therapy (2 papers)Journal of Translational Medicine (2 papers)Tumor Biology (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Yu
61 papers receiving 869 citations
Peers
Comparison fields: 5 of 130
- Cancer Research 171
- Oncology 192
- Biomaterials 68
- Psychiatry and Mental health 65
- Otorhinolaryngology 19
Countries citing papers authored by Dan Yu
This map shows the geographic impact of Dan Yu'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 Dan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yu more than expected).
Fields of papers citing papers by Dan Yu
This network shows the impact of papers produced by Dan Yu. 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 Dan Yu. The network helps show where Dan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yu, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 57 | |
| 2 | 2019 | 52 | |
| 3 | 2017 | 44 | |
| 4 | 2018 | 44 | |
| 5 | 2017 | 37 | |
| 6 | 2011 | 35 | |
| 7 | Chemoresistance of CD133+ cancer stem cells in laryngeal carcinoma. | 2011 | 34 |
| 8 | 2015 | 32 | |
| 9 | 2018 | 32 | |
| 10 | 2008 | 31 | |
| 11 | 2019 | 31 | |
| 12 | 2014 | 21 | |
| 13 | 2020 | 19 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 18 | |
| 16 | 2018 | 18 | |
| 17 | 2017 | 18 | |
| 18 | 2017 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2021 | 15 |
About Dan Yu
Dan Yu is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Sociology and Political Science, having authored 64 papers that have together received 887 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Cancer-related molecular mechanisms research (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Epilepsy research and treatment (3 papers), Head and Neck Cancer Studies (3 papers) and China's Ethnic Minorities and Relations (3 papers). The work is most often cited by research in Cancer Research (171 citations), Oncology (192 citations), Biomaterials (68 citations), Psychiatry and Mental health (65 citations) and Otorhinolaryngology (19 citations). Dan Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xue Zhao, Xueshibojie Liu, Chunshun Jin, Jinzhang Cheng, Chunsong Yang, Kai Xue, Lingli Zhang, Guanghong Han, Lianji Wen and Zilong Hao. Their work appears in journals such as Medicine, OncoTargets and Therapy, Journal of Translational Medicine, Tumor Biology 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.