Qingming Yu

622 citations
14 papers · 521 · h-index 12

Impact in

    • Neuropeptides and Animal Physiology
    • Receptor Mechanisms and Signaling
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Pharmacological Receptor Mechanisms and Effects

Papers in

    • Congenital heart defects research 4
    • Receptor Mechanisms and Signaling 3
    • RNA Research and Splicing 2
    • Ubiquitin and proteasome pathways 1
    • Zebrafish Biomedical Research Applications 3

Qingming Yu

14 papers receiving 508 citations

Peers

Qingming Yu
Comparison fields: 5 of 63
  • Cellular and Molecular Neuroscience 135
  • Molecular Biology 394
  • Cell Biology 75
  • Neurology 35
  • Immunology and Allergy 14
Replace Kazuko Nakata with:
Kazuko Nakata Japan
Kevin A. Glenn United States
Chie Naruse Japan
Jinhi Ahn Canada
Ayano Konagai Japan
Anne‐Marie Haeberlé France
Geng‐Xian Shi United States
R. A. Lazzarini United States
Marina S. Gelman United States
Dustin Shilling United States
Qingming Yu relative to Kazuko Nakata Japan Kazuko Nakata's profile →
Citations per field
00.5×1.5×1.9×
Kazuko Nakata · 1×
Citations per year

Countries citing papers authored by Qingming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Qingming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 199865
2 200553
3 200453
4 200751
5 200549
6 200848
7 200744
8 200143
9 200832
10 199930
11 201527
12 201513
13 20138
14 20105

About Qingming Yu

Qingming Yu is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Neurology and Immunology, having authored 14 papers that have together received 521 indexed citations. Recurring topics across this work include Congenital heart defects research (4 papers), Receptor Mechanisms and Signaling (3 papers), Zebrafish Biomedical Research Applications (3 papers), RNA Research and Splicing (2 papers), Neuropeptides and Animal Physiology (2 papers), Alzheimer's disease research and treatments (1 paper), Ubiquitin and proteasome pathways (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (135 citations), Molecular Biology (394 citations), Cell Biology (75 citations), Neurology (35 citations) and Immunology and Allergy (14 citations). Qingming Yu has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Jianhua Zhou, Tie Zou, Jun Guo, Lan Ma, An Zhou, Zhi-jie Jey Cheng, Gang Pei, Yalan Wu, Jing‐Wei Xiong and John D. Mably. Their work appears in journals such as Journal of Neurochemistry, Journal of Biological Chemistry, The FASEB Journal, Journal of Cell Science and PLoS ONE.

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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