Weiping Mu

1.8k citations
6 papers · 886 · 1 hit paper · h-index 5

Impact in

    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • Machine Learning in Bioinformatics
    • RNA Research and Splicing
    • Glycosylation and Glycoproteins Research

Papers in

    • Genetics, Bioinformatics, and Biomedical Research 2
    • Ubiquitin and proteasome pathways 1
    • Metabolomics and Mass Spectrometry Studies 1
    • Glycosylation and Glycoproteins Research 1
    • Biomedical Text Mining and Ontologies 1
    • Pluripotent Stem Cells Research 1
    • Scientific Computing and Data Management 1

Weiping Mu

5 papers receiving 876 citations

Weiping Mu's Hit Papers

Generic Diagramming Platform (GDP): a comprehensive database of high-quality biomedical graphics 2024 · 478 citations
4780+1Years since publication100200300400

Peers

Weiping Mu
Comparison fields: 5 of 104
  • Molecular Biology 483
  • Aging 8
  • Immunology 74
  • Oncology 81
  • Cancer Research 44
Replace Yuko Hidaka with:
Yuko Hidaka Japan
Shane L. Hubler United States
Hui Tong China
Himanshi Narang India
Dapei Li China
Dilip Chandu India
Alexander Zhyvoloup United Kingdom
Roy Walker Australia
Xiaomin Wang China
Cérina Chhuon France
Weiping Mu relative to Yuko Hidaka Japan Yuko Hidaka's profile →
Citations per field
00.5×12.2×
Yuko Hidaka · 1×
Citations per year

Countries citing papers authored by Weiping Mu

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Generic Diagramming Platform (GDP): a comprehensive database of high-quality biomedical graphics
Hit paper breakdown →
2024478
2 2014391
3 20247
4 20226
5 20234
6 20250

About Weiping Mu

Weiping Mu is a scholar working on Molecular Biology, Information Systems and Management, Oncology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 6 papers that have together received 886 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (2 papers), Peptidase Inhibition and Analysis (1 paper), Scientific Computing and Data Management (1 paper), Ubiquitin and proteasome pathways (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Molecular Biology (483 citations), Aging (8 citations), Immunology (74 citations), Oncology (81 citations) and Cancer Research (44 citations). Weiping Mu has collaborated with scholars based in China. Frequent co-authors include Jian Ren, Yubin Xie, Shuai Jiang, Wenzhong Liu, Qi Zhao, Yueyuan Zheng, Zexian Liu, Yu Xue, Yong Zhao and Luowanyue Zhang. Their work appears in journals such as Nucleic Acids Research, Genes and Science China Life Sciences.

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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