Mengxia Yu

1.9k citations
35 papers · 479 · h-index 15

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 17
    • Chronic Myeloid Leukemia Treatments 5
    • Histone Deacetylase Inhibitors Research 6
    • Protein Degradation and Inhibitors 3
    • Retinoids in leukemia and cellular processes 2

Mengxia Yu

34 papers receiving 475 citations

Peers

Mengxia Yu
Comparison fields: 5 of 70
  • Hematology 178
  • Genetics 71
  • Cancer Research 76
  • Molecular Biology 254
  • Oncology 73
Replace Ajay Abraham with:
Ajay Abraham United States
Christina Economopoulou Greece
Guowei Dai China
Mushtaq Ashraf Pakistan
Mark N. Ho United States
Kazutaka Takagi Japan
Kazuyuki Shigeno Japan
Nicole Fortenbery United States
Ilaria Defilippi Italy
Alice Melão Portugal
Mengxia Yu relative to Ajay Abraham United States Ajay Abraham's profile →
Citations per field
00.5×2.7×
Ajay Abraham · 1×
Citations per year

Countries citing papers authored by Mengxia Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mengxia Yu Line = papers co-authored together Mengxia Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201851
2 201447
3 201436
4 201830
5 201327
6 202024
7 201724
8 201421
9 201719
10 201719
11 201619
12 201917
13 201716
14 202014
15 201714
16 202012
17 202112
18 201411
19 201810
20 20149

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 479 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Histone Deacetylase Inhibitors Research (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Protein Degradation and Inhibitors (3 papers), Retinoids in leukemia and cellular processes (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Hematology (178 citations), Genetics (71 citations), Cancer Research (76 citations), Molecular Biology (254 citations) and Oncology (73 citations). Mengxia Yu has collaborated with scholars based in China and United States. Frequent co-authors include Jie Jin, Chao Hu, Hongyan Tong, Jiansong Huang, Zhixin Ma, Yile Zhou, Shujuan Huang, Yungui Wang, Jinghan Wang and Xia Li. Their work appears in journals such as PLoS ONE, Oncotarget, Scientific Reports, 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.

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