Muyu Yang

429 citations
6 papers · 110 · h-index 4

Impact in

    • Genomics and Chromatin Dynamics
    • Genomics and Phylogenetic Studies
    • Single-cell and spatial transcriptomics
    • RNA Research and Splicing
    • Bioinformatics and Genomic Networks
    • RNA and protein synthesis mechanisms
    • Cancer Genomics and Diagnostics

Papers in

    • Genomics and Chromatin Dynamics 4
    • Genomics and Phylogenetic Studies 1
    • RNA and protein synthesis mechanisms 1
    • Bioinformatics and Genomic Networks 1
    • RNA Research and Splicing 1
    • Explainable Artificial Intelligence (XAI) 1

Muyu Yang

5 papers receiving 109 citations

Peers

Muyu Yang
Comparison fields: 5 of 33
  • Molecular Biology 77
  • Cancer Research 15
  • Health Informatics 1
  • Biophysics 4
  • Genetics 15
Replace Chendi Wang with:
Chendi Wang China
Natasha Leanna Patel-Murray United States
Zhuoxing Shi China
Rongqin Zhang China
Qiheng Qian China
Shuyu Hou United States
Zakaria Louadi Germany
Piers Wilkinson United Kingdom
Mhaned Oubounyt Germany
Muyu Yang relative to Chendi Wang China Chendi Wang's profile →
Citations per field
00.5×4.9×
Chendi Wang · 1×
Citations per year

Countries citing papers authored by Muyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Muyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Muyu Yang, 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 Muyu Yang Line = papers co-authored together Muyu Yang links everyone, so they are left out of the graph.

All Works

About Muyu Yang

Muyu Yang is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Cancer Research and Infectious Diseases, having authored 6 papers that have together received 110 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Genomics and Phylogenetic Studies (1 paper), RNA and protein synthesis mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Bioinformatics and Genomic Networks (1 paper), Genomic variations and chromosomal abnormalities (1 paper), RNA Research and Splicing (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Molecular Biology (77 citations), Cancer Research (15 citations), Health Informatics (1 citation), Biophysics (4 citations) and Genetics (15 citations). Muyu Yang has collaborated with scholars based in United States and China. Frequent co-authors include Jian Ma, Yang Zhang, Valerie Chen, Ameet Talwalkar, Tom Misteli, Joon Sik Kim, Frank Alber, Lorenzo Boninsegna, Danqing Wang and Lei Li. Their work appears in journals such as Bioinformatics, Nature Communications, Nature Methods, Journal of Molecular Biology and Nature Reviews Genetics.

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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