Brian E. Hsu

677 citations
10 papers · 553 · h-index 9

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune cells in cancer 4
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • Cancer Cells and Metastasis 2

Brian E. Hsu

10 papers receiving 548 citations

Peers

Brian E. Hsu
Comparison fields: 5 of 54
  • Immunology 225
  • Oncology 147
  • Cancer Research 49
  • Molecular Biology 139
  • Pathology and Forensic Medicine 29
Replace Hye‐Kyung Jeon with:
Hye‐Kyung Jeon South Korea
Yohei Saito United States
Meidi Gu United States
Lixin Wang China
Viktoria Schäfer Germany
Swarna Mehrotra United States
Brian M. Weist United States
Ana Raquel Henriques Greece
Sandeep K. Raghuwanshi United States
Christie Mortales United States
Brian E. Hsu relative to Hye‐Kyung Jeon South Korea Hye‐Kyung Jeon's profile →
Citations per field
00.5×2×4×5.7×
Hye‐Kyung Jeon · 1×
Citations per year

Countries citing papers authored by Brian E. Hsu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Brian E. Hsu Line = papers co-authored together Brian E. Hsu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2019185
2 2015105
3 201876
4 201853
5 201544
6 202031
7 202028
8 202217
9 202013
10 20171

About Brian E. Hsu

Brian E. Hsu is a scholar working on Immunology, Oncology, Molecular Biology, Neurology and Cancer Research, having authored 10 papers that have together received 553 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Mechanisms of cancer metastasis (3 papers), Cancer Cells and Metastasis (2 papers), RNA and protein synthesis mechanisms (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Heat shock proteins research (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Immunology (225 citations), Oncology (147 citations), Cancer Research (49 citations), Molecular Biology (139 citations) and Pathology and Forensic Medicine (29 citations). Brian E. Hsu has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Peter M. Siegel, Matthew G. Annis, Sébastien Tabariès, Russell G. Jones, Eric H. Ma, Ian R. Watson, LeeAnn Ramsay, Julien Senécal, Sandra Völs and Anne‐Marie Mes‐Masson. Their work appears in journals such as Oncogene, Breast Cancer Research, Hepatology, Frontiers in Immunology and Oncotarget.

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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