William Yang

816 citations
15 papers · 657 · h-index 12

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Carcinogens and Genotoxicity Assessment

Papers in

    • DNA Repair Mechanisms 8
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 2

William Yang

15 papers receiving 653 citations

Peers

William Yang
Comparison fields: 5 of 52
  • Immunology 305
  • Cancer Research 80
  • Pathology and Forensic Medicine 93
  • Molecular Biology 382
  • Insect Science 62
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Manxia Fan United States
Alejandro Bernal United States
Polyxeni Gourzi Greece
Subhra Chaudhuri United States
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David C. Dorn Germany
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B E Rich United States
Thu Nguyen Australia
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Citations per field
00.5×4.8×
Manxia Fan · 1×
Citations per year

Countries citing papers authored by William Yang

Since Specialization
Citations

This map shows the geographic impact of William 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 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 Yang more than expected).

Fields of papers citing papers by William Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2004131
2 2005102
3 201098
4 200465
5 201142
6 199840
7 201234
8 199930
9 200629
10 202125
11 201623
12 200522
13 201411
14 20193
15 20222

About William Yang

William Yang is a scholar working on Molecular Biology, Immunology, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 657 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), PARP inhibition in cancer therapy (2 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers), Insect-Plant Interactions and Control (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Immunology (305 citations), Cancer Research (80 citations), Pathology and Forensic Medicine (93 citations), Molecular Biology (382 citations) and Insect Science (62 citations). William Yang has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Patricia J. Gearhart, Stella Martomo, Robert W. Maul, Huseyin Saribasak, Timothy L. Karr, Fumio Hanaoka, Masayuki Yokoi, David M. Wilson, Roger Woodgate and M. E. Feder. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology, Nature Immunology, DNA repair and Frontiers in Immunology.

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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