Yan Yu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research
Papers in
-
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 5
- Cancer-related gene regulation 4
-
- MicroRNA in disease regulation 7
- Co-authors
- Daolin Tang (6 shared papers)Zhi-yong Sheng (16 shared papers)Min Xie (5 shared papers)Xiaolong Chen (13 shared papers)Guangying Cui (12 shared papers)Ranran Sun (11 shared papers)Ning Dong (11 shared papers)Philip Vernon (2 shared papers)
- Journals
- Burns (4 papers)Critical Care Medicine (3 papers)Shock (3 papers)PLoS ONE (2 papers)Autophagy (2 papers)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Yan Yu
73 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 718
- Clinical Biochemistry 246
- Molecular Biology 1.3k
- Epidemiology 573
- Immunology 307
Countries citing papers authored by Yan Yu
This map shows the geographic impact of Yan 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 Yan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Yu more than expected).
Fields of papers citing papers by Yan Yu
This network shows the impact of papers produced by Yan 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 Yan Yu. The network helps show where Yan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 241 | |
| 2 | 2010 | 217 | |
| 3 | 2012 | 172 | |
| 4 | 2019 | 148 | |
| 5 | 2010 | 132 | |
| 6 | Expression patterns and prognostic value of m6A-related genes in colorectal cancer. | 2019 | 117 |
| 7 | 2014 | 111 | |
| 8 | 2002 | 90 | |
| 9 | 2010 | 75 | |
| 10 | 2018 | 73 | |
| 11 | 2019 | 71 | |
| 12 | 2015 | 67 | |
| 13 | 2018 | 66 | |
| 14 | 2018 | 65 | |
| 15 | 2011 | 61 | |
| 16 | 2006 | 57 | |
| 17 | 2015 | 56 | |
| 18 | 2020 | 55 | |
| 19 | Semiquantitative screening test for G6PD deficiency detects severe deficiency but misses a substantial proportion of partially-deficient females. | 2003 | 52 |
| 20 | 2018 | 47 |
About Yan Yu
Yan Yu is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Immunology, having authored 73 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), MicroRNA in disease regulation (7 papers), Autophagy in Disease and Therapy (6 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers), Advanced Glycation End Products research (4 papers), Cancer-related gene regulation (4 papers) and Respiratory Support and Mechanisms (3 papers). The work is most often cited by research in Cancer Research (718 citations), Clinical Biochemistry (246 citations), Molecular Biology (1.3k citations), Epidemiology (573 citations) and Immunology (307 citations). Yan Yu has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Daolin Tang, Zhi-yong Sheng, Min Xie, Xiaolong Chen, Guangying Cui, Ranran Sun, Ning Dong, Philip Vernon, Rui Kang and Fang Ren. Their work appears in journals such as Burns, Critical Care Medicine, Shock, PLoS ONE and Autophagy.
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.