Mengxia Yu
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 25
- Acute Myeloid Leukemia Research 22
- Chronic Myeloid Leukemia Treatments 5
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- Histone Deacetylase Inhibitors Research 8
- Protein Degradation and Inhibitors 4
- Retinoids in leukemia and cellular processes 3
- Co-authors
- Jie Jin (29 shared papers)Chao Hu (7 shared papers)Hongyan Tong (9 shared papers)Zhixin Ma (9 shared papers)Jiansong Huang (10 shared papers)Yile Zhou (8 shared papers)Yungui Wang (8 shared papers)Shujuan Huang (8 shared papers)
- Journals
- Scientific Reports (3 papers)Oncotarget (3 papers)PLoS ONE (3 papers)Blood (2 papers)EBioMedicine (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Mengxia Yu
34 papers receiving 466 citations
Peers
Comparison fields: 5 of 70
- Hematology 204
- Genetics 87
- Cancer Research 93
- Molecular Biology 282
- Oncology 90
Countries citing papers authored by Mengxia Yu
This map shows the geographic impact of Mengxia 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 Mengxia Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengxia Yu more than expected).
Fields of papers citing papers by Mengxia Yu
This network shows the impact of papers produced by Mengxia 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 Mengxia Yu. The network helps show where Mengxia Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengxia 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2014 | 47 | |
| 3 | 2014 | 36 | |
| 4 | 2018 | 30 | |
| 5 | 2013 | 27 | |
| 6 | 2017 | 24 | |
| 7 | 2020 | 22 | |
| 8 | 2014 | 21 | |
| 9 | 2019 | 18 | |
| 10 | 2017 | 18 | |
| 11 | 2017 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2020 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2021 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2014 | 9 |
About Mengxia Yu
Mengxia Yu is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 35 papers that have together received 470 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Histone Deacetylase Inhibitors Research (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Protein Degradation and Inhibitors (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Lymphoblastic Leukemia research (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Hematology (204 citations), Genetics (87 citations), Cancer Research (93 citations), Molecular Biology (282 citations) and Oncology (90 citations). Mengxia Yu has collaborated with scholars based in China and United States. Frequent co-authors include Jie Jin, Chao Hu, Hongyan Tong, Zhixin Ma, Jiansong Huang, Yile Zhou, Yungui Wang, Shujuan Huang, Xia Li and Jinghan Wang. Their work appears in journals such as Scientific Reports, Oncotarget, PLoS ONE, Blood and EBioMedicine.
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.