Tammy Mui

629 citations
9 papers · 546 · h-index 8

Impact in

Papers in

    • Biomarkers in Disease Mechanisms 1
    • Immunodeficiency and Autoimmune Disorders 1
    • T-cell and B-cell Immunology 1
    • Telomeres, Telomerase, and Senescence 2
    • Asthma and respiratory diseases 2

Tammy Mui

9 papers receiving 532 citations

Peers

Tammy Mui
Comparison fields: 5 of 89
  • Health, Toxicology and Mutagenesis 141
  • Physiology 119
  • Aging 8
  • Immunology 88
  • Pulmonary and Respiratory Medicine 107
Replace Lidia Proietti with:
Lidia Proietti Italy
Yi‐Lin Dan China
Marwa Mahmoud Abdelaziz Egypt
Yichen Guo United States
Priya Tripathi India
Bertram Bleck United States
Liyan Cui China
Pureun‐Haneul Lee South Korea
Takugo Cho United States
Muntasir M. Abdelaziz United Kingdom
Tammy Mui relative to Lidia Proietti Italy Lidia Proietti's profile →
Citations per field
00.5×2×3×4×5×
Lidia Proietti · 1×
Citations per year

Countries citing papers authored by Tammy Mui

Since Specialization
Citations

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

Fields of papers citing papers by Tammy Mui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2008180
2 201282
3 199773
4 201066
5 200955
6 199640
7 200928
8 201117
9 20085

About Tammy Mui

Tammy Mui is a scholar working on Immunology, Physiology, Hematology, Pulmonary and Respiratory Medicine and Virology, having authored 9 papers that have together received 546 indexed citations. Recurring topics across this work include Blood groups and transfusion (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Asthma and respiratory diseases (2 papers), Respiratory Support and Mechanisms (2 papers), Biomarkers in Disease Mechanisms (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (141 citations), Physiology (119 citations), Aging (8 citations), Immunology (88 citations) and Pulmonary and Respiratory Medicine (107 citations). Tammy Mui has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Don D. Sin, Yuexin Li, Thomas N. Denny, S. F. Paul Man, Ni Bai, Eiji Tamagawa, Stephan F. van Eeden, Andrew J. Sandford, Xing Li and Xuekui Zhang. Their work appears in journals such as Journal of Applied Physiology, Innate Immunity, Journal of the American Geriatrics Society, American Journal of Physiology-Lung Cellular and Molecular Physiology and American Journal of Respiratory Cell and Molecular Biology.

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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