Brian Tsui
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
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- Endoplasmic Reticulum Stress and Disease 1
- Cellular Mechanics and Interactions 1
- Co-authors
- Hannah K. Carter (7 shared papers)Peter D. Adams (2 shared papers)Ideker Trey (2 shared papers)Tina Wang (2 shared papers)Jason F. Kreisberg (2 shared papers)Andrew M. Gross (1 shared paper)Holly M. Brown‐Borg (1 shared paper)Michael Yu (1 shared paper)
- Journals
- Scientific Reports (2 papers)Nature Communications (1 paper)Nature Medicine (1 paper)Cell Systems (1 paper)Database (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Brian Tsui
9 papers receiving 1k citations
Brian Tsui's Hit Papers
Peers
Comparison fields: 5 of 107
- Health Informatics 180
- Aging 109
- Health Information Management 106
- Hepatology 47
- Cell Biology 67
Countries citing papers authored by Brian Tsui
This map shows the geographic impact of Brian Tsui'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 Tsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Tsui more than expected).
Fields of papers citing papers by Brian Tsui
This network shows the impact of papers produced by Brian Tsui. 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 Tsui. The network helps show where Brian Tsui may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Tsui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence Hit paper breakdown → | 2019 | 486 |
| 2 | 2017 | 233 | |
| 3 | 2017 | 130 | |
| 4 | 2020 | 86 | |
| 5 | 2018 | 77 | |
| 6 | 2018 | 19 | |
| 7 | 2020 | 19 | |
| 8 | 2021 | 13 | |
| 9 | 2018 | 6 |
About Brian Tsui
Brian Tsui is a scholar working on Aging, Cell Biology, Molecular Biology, Hepatology and Cancer Research, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Cancer Genomics and Diagnostics (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cellular Mechanics and Interactions (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Health Informatics (180 citations), Aging (109 citations), Health Information Management (106 citations), Hepatology (47 citations) and Cell Biology (67 citations). Brian Tsui has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Hannah K. Carter, Peter D. Adams, Ideker Trey, Tina Wang, Jason F. Kreisberg, Andrew M. Gross, Holly M. Brown‐Borg, Michael Yu, Neil Robertson and Colleen L. Chute. Their work appears in journals such as Scientific Reports, Nature Communications, Nature Medicine, Cell Systems and Database.
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.