Dandan Yu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
Papers in
-
- Cancer, Hypoxia, and Metabolism 14
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 8
- Oncology 42
- Cancer Cells and Metastasis 9
- Co-authors
- Shanliang Zhong (13 shared papers)Jinhai Tang (11 shared papers)Jianhua Zhao (10 shared papers)Wei‐xian Chen (4 shared papers)Zhenyu Lin (20 shared papers)Yingying Jing (5 shared papers)Lixin Wei (5 shared papers)Su‐Jin Yang (9 shared papers)
In The Last Decade
Dandan Yu
167 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 1.1k
- Oncology 690
- Molecular Biology 1.8k
- Immunology 393
- Geriatrics and Gerontology 62
Countries citing papers authored by Dandan Yu
This map shows the geographic impact of Dandan 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 Dandan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Yu more than expected).
Fields of papers citing papers by Dandan Yu
This network shows the impact of papers produced by Dandan 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 Dandan Yu. The network helps show where Dandan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 180 | |
| 2 | 2015 | 136 | |
| 3 | 2014 | 107 | |
| 4 | 2015 | 102 | |
| 5 | 2014 | 97 | |
| 6 | 2015 | 86 | |
| 7 | 2020 | 78 | |
| 8 | 2015 | 72 | |
| 9 | 2022 | 64 | |
| 10 | 2015 | 59 | |
| 11 | 2018 | 57 | |
| 12 | 2015 | 57 | |
| 13 | 2017 | 56 | |
| 14 | 2020 | 56 | |
| 15 | 2017 | 50 | |
| 16 | 2021 | 48 | |
| 17 | 2021 | 48 | |
| 18 | 2021 | 45 | |
| 19 | 2015 | 44 | |
| 20 | 2013 | 44 |
About Dandan Yu
Dandan Yu is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Hematology, having authored 171 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (14 papers), MicroRNA in disease regulation (11 papers), Histone Deacetylase Inhibitors Research (10 papers), Circular RNAs in diseases (10 papers), Cancer Cells and Metastasis (9 papers), Multiple Myeloma Research and Treatments (9 papers), Cancer-related molecular mechanisms research (8 papers) and Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (690 citations), Molecular Biology (1.8k citations), Immunology (393 citations) and Geriatrics and Gerontology (62 citations). Dandan Yu has collaborated with scholars based in China, Hong Kong and Norway. Frequent co-authors include Shanliang Zhong, Jinhai Tang, Jianhua Zhao, Wei‐xian Chen, Zhenyu Lin, Yingying Jing, Lixin Wei, Su‐Jin Yang, Ying Wu and Xiao-Hui Zhang. Their work appears in journals such as Tumor Biology, Acta Biochimica et Biophysica Sinica, Cancer Letters, Oncotarget and Scientific Reports.
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.