Yunhua Peng

2.3k citations
53 papers · 1.7k indexed · 1 hit paper · h-index 24
    • Tryptophan and brain disorders 4
    • Ubiquitin and proteasome pathways 11
    • Protein Degradation and Inhibitors 9
    • Mitochondrial Function and Pathology 8
    • Muscle Physiology and Disorders 3
  • Physiology top 10%
    • Adipose Tissue and Metabolism 6
    • Alzheimer's disease research and treatments 4
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Yunhua Peng

50 papers receiving 1.7k citations

Hit Papers

Cell cycle on the crossroad of tumorigenesis and cancer t...263202120262022202450100150200250

Peers

Yunhua Peng
Comparison fields: 5 of 121
  • Biological Psychiatry 64
  • Cancer Research 224
  • Molecular Biology 900
  • Physiology 333
  • Neurology 87
Replace Qian Lin with:
Qian Lin China
Maria Graziella Catalano Italy
Shanshan Wang China
Vadim V. Tarasov Russia
Jae‐Hoon Jeong South Korea
Mirela Delibegović United Kingdom
Xiaoqian Chen China
Antonia Patruno Italy
Antonio Iradi Spain
Yunhua Peng relative to Qian Lin China Qian Lin's profile →
Citations per field
00.5×1.5×2.5×
Qian Lin · 1×
Citations per year

Countries citing papers authored by Yunhua Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yunhua Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202410
4 202336
5 202333
6 20234
7 202230
8 20215
9
Cell cycle on the crossroad of tumorigenesis and cancer therapybreakdown →
2021263
10 202131
11 202023
12 202036
13 202078
14 20190
15 201712
16 201665
17 201616
18 201678
19 201587
20 201452

About Yunhua Peng

Yunhua Peng is a scholar working on Biological Psychiatry, Obstetrics and Gynecology and Molecular Biology, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (11 papers), Protein Degradation and Inhibitors (9 papers), Mitochondrial Function and Pathology (8 papers), Adipose Tissue and Metabolism (6 papers), Alzheimer's disease research and treatments (4 papers), Tryptophan and brain disorders (4 papers), Muscle Physiology and Disorders (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Biological Psychiatry (64 citations), Cancer Research (224 citations) and Molecular Biology (900 citations). Yunhua Peng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jing Liu, Wenyi Wei, Jiankang Liu, Jiangang Long, Le Shi, Ying Tang, Jie Tang, Nan Sook Yu, Neng Liu and Ke Cao. Their work appears in journals such as Free Radical Biology and Medicine, Cell Research, Trends in Cell Biology, Journal of Neurochemistry and Molecular Nutrition & Food Research.

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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