Brian Yeung

1.1k citations
11 papers · 825 · h-index 8

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Genetics top 5%
    • Diabetes and associated disorders

Papers in

    • Diabetes and associated disorders 5
    • Digestive system and related health 1
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4

Brian Yeung

11 papers receiving 813 citations

Peers

Brian Yeung
Comparison fields: 5 of 73
  • Immunology 434
  • Genetics 346
  • Oncology 154
  • Cell Biology 88
  • Endocrinology, Diabetes and Metabolism 79
Replace Rémi J. Creusot with:
Rémi J. Creusot United States
Thomas Kaido United States
Tali Feferman Israel
Manami Itoi Japan
Hjalte List Larsen Denmark
Miriella Pasquier Switzerland
N Karin Israel
Ying Xim Tan China
Jeremy P. Springhorn United States
Tiziana Plati Italy
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Citations per field
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Rémi J. Creusot · 1×
Citations per year

Countries citing papers authored by Brian Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Brian Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1998207
2 1998152
3 2020129
4 1999115
5 1998110
6 199851
7 200130
8 200222
9 20004
10 20023
11 20242

About Brian Yeung

Brian Yeung is a scholar working on Genetics, Immunology, Cognitive Neuroscience, Surgery and Molecular Biology, having authored 11 papers that have together received 825 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Tactile and Sensory Interactions (2 papers), Interactive and Immersive Displays (1 paper), Digestive system and related health (1 paper), Diet, Metabolism, and Disease (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Immunology (434 citations), Genetics (346 citations), Oncology (154 citations), Cell Biology (88 citations) and Endocrinology, Diabetes and Metabolism (79 citations). Brian Yeung has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Nora Sarvetnick, Marika Falcone, Jae Lee, Joanna D. Davies, Enrique Rodrı́guez, Troy Krahl, Regula Mueller, Myung‐Shik Lee, Eric O’Connor and William S. Trimble. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Cancer Immunology Research, Clinical Immunology and Biochemistry.

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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