Ying Du
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 2%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
Papers in
- Immunology 26
- Immune Cell Function and Interaction 15
- IL-33, ST2, and ILC Pathways 9
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- Cancer-related molecular mechanisms research 15
- MicroRNA in disease regulation 10
- Co-authors
- Zusen Fan (36 shared papers)Buqing Ye (25 shared papers)Pingping Zhu (21 shared papers)Guanling Huang (16 shared papers)Pengyan Xia (15 shared papers)Yong Tian (19 shared papers)Benyu Liu (16 shared papers)Jiayi Wu (12 shared papers)
- Journals
- Nature Communications (8 papers)Nature Immunology (6 papers)The EMBO Journal (5 papers)PLoS ONE (3 papers)Cancer Research (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ying Du
85 papers receiving 6.1k citations
Ying Du's Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 2.2k
- Immunology 1.2k
- Molecular Biology 3.4k
- Oncology 713
- Otorhinolaryngology 95
Countries citing papers authored by Ying Du
This map shows the geographic impact of Ying Du'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 Ying Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Du more than expected).
Fields of papers citing papers by Ying Du
This network shows the impact of papers produced by Ying Du. 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 Ying Du. The network helps show where Ying Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Du, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Long Noncoding RNA lncTCF7 Promotes Self-Renewal of Human Liver Cancer Stem Cells through Activation of Wnt Signaling Hit paper breakdown → | 2015 | 545 |
| 2 | 2010 | 312 | |
| 3 | 2017 | 296 | |
| 4 | 2013 | 260 | |
| 5 | 2018 | 242 | |
| 6 | 2016 | 241 | |
| 7 | 2014 | 227 | |
| 8 | 2017 | 210 | |
| 9 | 2016 | 206 | |
| 10 | 2016 | 188 | |
| 11 | 2019 | 178 | |
| 12 | 2017 | 171 | |
| 13 | 2016 | 170 | |
| 14 | 2013 | 169 | |
| 15 | 2009 | 163 | |
| 16 | 2017 | 155 | |
| 17 | 2014 | 132 | |
| 18 | 2019 | 123 | |
| 19 | 2022 | 122 | |
| 20 | 2018 | 108 |
About Ying Du
Ying Du is a scholar working on Immunology, Cancer Research, Molecular Biology, Catalysis and Surgery, having authored 87 papers that have together received 6.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Cancer-related molecular mechanisms research (15 papers), Circular RNAs in diseases (10 papers), MicroRNA in disease regulation (10 papers), IL-33, ST2, and ILC Pathways (9 papers), RNA modifications and cancer (8 papers), Epigenetics and DNA Methylation (8 papers) and Eosinophilic Esophagitis (6 papers). The work is most often cited by research in Cancer Research (2.2k citations), Immunology (1.2k citations), Molecular Biology (3.4k citations), Oncology (713 citations) and Otorhinolaryngology (95 citations). Ying Du has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zusen Fan, Buqing Ye, Pingping Zhu, Guanling Huang, Pengyan Xia, Yong Tian, Benyu Liu, Jiayi Wu, Lei He and Yanying Wang. Their work appears in journals such as Nature Communications, Nature Immunology, The EMBO Journal, PLoS ONE and Cancer Research.
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.