Li Yu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
-
- RNA modifications and cancer 6
- Oncology 26
- CAR-T cell therapy research 8
- Co-authors
- Ken H. Young (7 shared papers)He Zhou (3 shared papers)Tong Zhou (3 shared papers)Xiong Zhang (2 shared papers)L. Jeffrey Medeiros (4 shared papers)Melissa Hunter (1 shared paper)Gerard J. Nuovo (1 shared paper)Kara Batte (1 shared paper)
- Journals
- Blood (4 papers)Frontiers in Oncology (4 papers)Scientific Reports (3 papers)Oncology Reports (3 papers)Molecular Neurodegeneration (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Li Yu
110 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 149
- Cancer Research 703
- Molecular Biology 1.0k
- Molecular Medicine 72
- Genetics 149
- Oncology 349
Countries citing papers authored by Li Yu
This map shows the geographic impact of Li 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 Li Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Yu more than expected).
Fields of papers citing papers by Li Yu
This network shows the impact of papers produced by Li 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 Li Yu. The network helps show where Li Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 227 | |
| 2 | 2015 | 192 | |
| 3 | 2017 | 115 | |
| 4 | 2017 | 98 | |
| 5 | 2011 | 95 | |
| 6 | 2019 | 87 | |
| 7 | 2014 | 87 | |
| 8 | 2020 | 86 | |
| 9 | 2016 | 80 | |
| 10 | 2002 | 70 | |
| 11 | 2015 | 66 | |
| 12 | 2017 | 62 | |
| 13 | 2016 | 62 | |
| 14 | 2013 | 49 | |
| 15 | 2017 | 48 | |
| 16 | 2014 | 47 | |
| 17 | 2016 | 37 | |
| 18 | 2021 | 34 | |
| 19 | Shikonin protects chondrocytes from interleukin-1beta-induced apoptosis by regulating PI3K/Akt signaling pathway. | 2015 | 33 |
| 20 | 2019 | 30 |
About Li Yu
Li Yu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 123 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Cancer-related molecular mechanisms research (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), MicroRNA in disease regulation (9 papers), CAR-T cell therapy research (8 papers), Ferroptosis and cancer prognosis (7 papers), RNA modifications and cancer (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Cancer Research (703 citations), Molecular Biology (1.0k citations), Molecular Medicine (72 citations), Genetics (149 citations) and Oncology (349 citations). Li Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ken H. Young, He Zhou, Tong Zhou, Xiong Zhang, L. Jeffrey Medeiros, Melissa Hunter, Gerard J. Nuovo, Kara Batte, Gregory A. Otterson and Melissa Crawford. Their work appears in journals such as Blood, Frontiers in Oncology, Scientific Reports, Oncology Reports and Molecular Neurodegeneration.
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.