Brian E. Hsu
Impact in
- Immunology top 10%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immune Cell Function and Interaction
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
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- Immune cells in cancer 5
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
- Immune Response and Inflammation 3
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- Cell Adhesion Molecules Research 1
- Co-authors
- Peter M. Siegel (8 shared papers)Sébastien Tabariès (5 shared papers)Matthew G. Annis (5 shared papers)Russell G. Jones (2 shared papers)Eric H. Ma (2 shared papers)Ian Robert Watson (3 shared papers)LeeAnn Ramsay (2 shared papers)Camille Lehuédé (1 shared paper)
- Journals
- Breast Cancer Research (2 papers)Oncogene (2 papers)Oncotarget (1 paper)Science (1 paper)Applied Sciences (1 paper)
- Partner nations
- CanadaTaiwanUnited States
In The Last Decade
Brian E. Hsu
12 papers receiving 549 citations
Peers
Comparison fields: 5 of 68
- Immunology 261
- Oncology 183
- Cancer Research 73
- Immunology and Allergy 16
- Molecular Biology 173
Countries citing papers authored by Brian E. Hsu
This map shows the geographic impact of Brian E. Hsu'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 E. Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Hsu more than expected).
Fields of papers citing papers by Brian E. Hsu
This network shows the impact of papers produced by Brian E. Hsu. 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 E. Hsu. The network helps show where Brian E. Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian E. Hsu, 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 | 2019 | 182 | |
| 2 | 2015 | 103 | |
| 3 | 2018 | 73 | |
| 4 | 2018 | 53 | |
| 5 | 2015 | 45 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 27 | |
| 8 | 2022 | 17 | |
| 9 | 2020 | 13 | |
| 10 | 2022 | 4 | |
| 11 | 2017 | 1 | |
| 12 | 2023 | 1 |
About Brian E. Hsu
Brian E. Hsu is a scholar working on Immunology, Immunology and Allergy, Oncology, Neurology and Cancer Research, having authored 12 papers that have together received 549 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Immune Response and Inflammation (3 papers), Cell Adhesion Molecules Research (1 paper), Cancer Cells and Metastasis (1 paper), Heat shock proteins research (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Immunology (261 citations), Oncology (183 citations), Cancer Research (73 citations), Immunology and Allergy (16 citations) and Molecular Biology (173 citations). Brian E. Hsu has collaborated with scholars based in Canada, Taiwan and United States. Frequent co-authors include Peter M. Siegel, Sébastien Tabariès, Matthew G. Annis, Russell G. Jones, Eric H. Ma, Ian Robert Watson, LeeAnn Ramsay, Camille Lehuédé, Sylvia Andrzejewski and Sandra Völs. Their work appears in journals such as Breast Cancer Research, Oncogene, Oncotarget, Science and Applied Sciences.
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.