Brian Woo

578 citations
13 papers · 437 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Immune Response and Inflammation

Papers in

Brian Woo

12 papers receiving 422 citations

Peers

Brian Woo
Comparison fields: 5 of 91
  • Cancer Research 87
  • Immunology 117
  • Pulmonary and Respiratory Medicine 97
  • Molecular Biology 185
  • Surgery 83
Replace George Baltatzis with:
George Baltatzis Greece
Chengxin Zhang China
Zihao Li China
Xiaodong Lv China
Christopher Fan United States
Zhuo Gao China
Ping‐Fang Hu China
Ewa Kurzejamska Sweden
Qing Yuan China
Megumi Takehara Japan
Brian Woo relative to George Baltatzis Greece George Baltatzis's profile →
Citations per field
00.5×3.8×
George Baltatzis · 1×
Citations per year

Countries citing papers authored by Brian Woo

Since Specialization
Citations

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

Fields of papers citing papers by Brian Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013101
2 2016101
3 201963
4 201354
5 201551
6
An intelligent agent for adapting and delivering electronic course materials to mobile learners
200531
7 201624
8 20165
9 20222
10 20002
11 20241
12 20151
13 20051

About Brian Woo

Brian Woo is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Cancer Research and Oncology, having authored 13 papers that have together received 437 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Occupational and environmental lung diseases (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Kruppel-like factors research (1 paper), MicroRNA in disease regulation (1 paper), Connective tissue disorders research (1 paper), Medical Imaging and Pathology Studies (1 paper) and Personal Information Management and User Behavior (1 paper). The work is most often cited by research in Cancer Research (87 citations), Immunology (117 citations), Pulmonary and Respiratory Medicine (97 citations), Molecular Biology (185 citations) and Surgery (83 citations). Brian Woo has collaborated with scholars based in United States, Chile and Russia. Frequent co-authors include Zhen Chen, Traci Marin, Shu Chien, Brendan Gongol, Marcy Martin, Shankar Subramaniam, Olivia Majer, Bo Liu, Erik Van Dis and Gregory M. Barton. Their work appears in journals such as Journal of Oral and Maxillofacial Surgery, Journal of Translational Medicine, Scientific Reports, Cell Reports and Circulation Research.

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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