William E. Yang

656 citations
27 papers · 512 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • RNA modifications and cancer

Papers in

    • Cancer-related molecular mechanisms research 3
    • Cancer Genomics and Diagnostics 2
    • Gene expression and cancer classification 5
    • Genomics and Phylogenetic Studies 4
    • Bioinformatics and Genomic Networks 3
    • Biomedical Text Mining and Ontologies 2
    • Single-cell and spatial transcriptomics 2
    • RNA modifications and cancer 2

William E. Yang

27 papers receiving 504 citations

Peers

William E. Yang
Comparison fields: 5 of 100
  • Cancer Research 98
  • Molecular Biology 279
  • Genetics 94
  • Oncology 68
  • Biological Psychiatry 4
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William E. Yang relative to Bhaskar Dutta United States Bhaskar Dutta's profile →
Citations per field
00.5×1.5×2×2.4×
Bhaskar Dutta · 1×
Citations per year

Countries citing papers authored by William E. Yang

Since Specialization
Citations

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

Fields of papers citing papers by William E. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201477
2 200859
3 202058
4 201451
5 201432
6 201828
7 201828
8 201524
9 201623
10 201421
11 201816
12 201815
13 199914
14 201811
15 201611
16 20248
17 20177
18 20166
19 20145
20 20175

About William E. Yang

William E. Yang is a scholar working on Cancer Research, Molecular Biology, Clinical Biochemistry, Health Information Management and Endocrinology, having authored 27 papers that have together received 512 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Genomics and Phylogenetic Studies (4 papers), Cancer-related molecular mechanisms research (3 papers), Bioinformatics and Genomic Networks (3 papers), Cancer Genomics and Diagnostics (2 papers), Biomedical Text Mining and Ontologies (2 papers), Single-cell and spatial transcriptomics (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (98 citations), Molecular Biology (279 citations), Genetics (94 citations), Oncology (68 citations) and Biological Psychiatry (4 citations). William E. Yang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Mary Qu Yang, Jack Y. Yang, Zhongxue Chen, Renchu Guan, Weida Tong, Jun S. Liu, Youping Deng, Andrzej Niemierko, Kenji Yoshigoe and Xiang Qin. Their work appears in journals such as BMC Bioinformatics, BMC Systems Biology, BMC Medical Genomics, JNCI Journal of the National Cancer Institute and The Journal of Infectious Diseases.

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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