Li Yu
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 35
- Histone Deacetylase Inhibitors Research 23
- RNA modifications and cancer 19
- Hematology 110
- Acute Myeloid Leukemia Research 83
- Co-authors
- Shu‐Hsia Chen (2 shared papers)Sergei Kusmartsev (1 shared paper)Qian Qian (15 shared papers)Ping Zhan (19 shared papers)Chunhua Xu (27 shared papers)Xiaoning Gao (25 shared papers)Ping Zhan (17 shared papers)Yonghui Li (34 shared papers)
- Journals
- Oncotarget (11 papers)PLoS ONE (10 papers)Tumor Biology (9 papers)Blood (8 papers)Annals of Hematology (7 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Li Yu
396 papers receiving 9.2k citations
Peers
Comparison fields: 5 of 141
- Hematology 1.7k
- Cancer Research 1.5k
- Geriatrics and Gerontology 259
- Immunology 1.5k
- Oncology 1.6k
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 416 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 408 | |
| 2 | 2010 | 390 | |
| 3 | 2000 | 304 | |
| 4 | 2015 | 270 | |
| 5 | 2005 | 170 | |
| 6 | 2002 | 168 | |
| 7 | 2012 | 141 | |
| 8 | 2011 | 135 | |
| 9 | 2014 | 131 | |
| 10 | 2020 | 130 | |
| 11 | 2007 | 117 | |
| 12 | 2005 | 115 | |
| 13 | 2005 | 97 | |
| 14 | 2013 | 94 | |
| 15 | 2018 | 88 | |
| 16 | 2006 | 87 | |
| 17 | 2011 | 85 | |
| 18 | 2015 | 79 | |
| 19 | 2017 | 77 | |
| 20 | Trends in the treatment of advanced hepatocellular carcinoma: immune checkpoint blockade immunotherapy and related combination therapies. | 2019 | 77 |
About Li Yu
Li Yu is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Cancer Research, having authored 416 papers that have together received 9.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (83 papers), Epigenetics and DNA Methylation (35 papers), Immune Cell Function and Interaction (24 papers), Histone Deacetylase Inhibitors Research (23 papers), Acute Lymphoblastic Leukemia research (20 papers), MicroRNA in disease regulation (19 papers), RNA modifications and cancer (19 papers) and Cancer-related molecular mechanisms research (18 papers). The work is most often cited by research in Hematology (1.7k citations), Cancer Research (1.5k citations), Geriatrics and Gerontology (259 citations), Immunology (1.5k citations) and Oncology (1.6k citations). Li Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shu‐Hsia Chen, Sergei Kusmartsev, Qian Qian, Ping Zhan, Chunhua Xu, Xiaoning Gao, Ping Zhan, Yonghui Li, Lili Wang and Yu Jing. Their work appears in journals such as Oncotarget, PLoS ONE, Tumor Biology, Blood and Annals of Hematology.
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.