Miao Yu

1.8k citations
75 papers · 1.2k indexed · h-index 20

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 8
    • Metabolism, Diabetes, and Cancer 5
    • Plant biochemistry and biosynthesis 5
    • Cholesterol and Lipid Metabolism 6

Miao Yu

68 papers receiving 1.1k citations

Peers

Miao Yu
Comparison fields: 5 of 127
  • Biochemistry 83
  • Cancer Research 171
  • Molecular Biology 541
  • Cell Biology 101
  • Geriatrics and Gerontology 24
Replace Annika Mehlem with:
Annika Mehlem Sweden
Xinyu Li China
Chae‐Myeong Ha United States
Min Xu China
Wakako Takabe Japan
Shi Yin China
CK Kim South Korea
Jiansheng Huang China
Yusuke Nakatsu Japan
Narsa M. Reddy United States
Miao Yu relative to Annika Mehlem Sweden Annika Mehlem's profile →
Citations per field
00.5×1.5×
Annika Mehlem · 1×
Citations per year

Countries citing papers authored by Miao Yu

Since Specialization
Citations

This map shows the geographic impact of Miao 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 Miao Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Yu more than expected).

Fields of papers citing papers by Miao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miao 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 Miao Yu. The network helps show where Miao Yu may publish in the future.

Co-authors

The 25 scholars most cited alongside Miao 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 Miao Yu Line = papers co-authored together Miao Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201691
2 201862
3 201661
4 201750
5 201146
6 201844
7 201941
8 201941
9 202338
10 201236
11 202035
12 201834
13 202034
14 201930
15 201628
16 201628
17 201925
18 201823
19 202022
20 201820

About Miao Yu

Miao Yu is a scholar working on Molecular Biology, Surgery, Oncology, Cancer Research and Epidemiology, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Cancer, Lipids, and Metabolism (6 papers), Cholesterol and Lipid Metabolism (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Plant biochemistry and biosynthesis (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Plant and animal studies (4 papers). The work is most often cited by research in Biochemistry (83 citations), Cancer Research (171 citations), Molecular Biology (541 citations), Cell Biology (101 citations) and Geriatrics and Gerontology (24 citations). Miao Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuanli Chen, Xiaoxiao Yang, Yajun Duan, Monty Krieger, Jihong Han, Steven A. Carr, Linkang Zhou, Muhammad Arshad, Li Xu and Chuanrui Ma. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Frontiers in Cell and Developmental Biology, Bioorganic & Medicinal Chemistry Letters and British Journal of Pharmacology.

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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