Brian Wu

953 citations
9 papers · 518 · h-index 7

Impact in

    • Osteoarthritis Treatment and Mechanisms
    • Rheumatoid Arthritis Research and Therapies
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Osteoarthritis Treatment and Mechanisms 4
    • Urticaria and Related Conditions 1
    • Wnt/β-catenin signaling in development and cancer 2
    • Circular RNAs in diseases 1

Brian Wu

7 papers receiving 515 citations

Peers

Brian Wu
Comparison fields: 5 of 67
  • Rheumatology 219
  • Cancer Research 66
  • Rehabilitation 28
  • Immunology and Allergy 21
  • Pharmacology 55
Replace Marc Fajardo with:
Marc Fajardo United States
Kenya Terabe Japan
T Tsukazaki Japan
N. Ogata Japan
Vasek Pitelka Canada
Branavan Sivakumar United Kingdom
Takuo Juji Japan
Denisa S. Melichian United States
Youngnim Shin South Korea
Kazutoshi Kurokouchi Japan
Brian Wu relative to Marc Fajardo United States Marc Fajardo's profile →
Citations per field
00.5×2.9×
Marc Fajardo · 1×
Citations per year

Countries citing papers authored by Brian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Brian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2018147
2 2019136
3 202182
4 201663
5 201746
6 201937
7 20226
8 20251
9 20250

About Brian Wu

Brian Wu is a scholar working on Rheumatology, Molecular Biology, Surgery, Hematology and Immunology, having authored 9 papers that have together received 518 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Macrophage Migration Inhibitory Factor (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Wound Healing and Treatments (1 paper), Vasculitis and related conditions (1 paper), Knee injuries and reconstruction techniques (1 paper), Urticaria and Related Conditions (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Rheumatology (219 citations), Cancer Research (66 citations), Rehabilitation (28 citations), Immunology and Allergy (21 citations) and Pharmacology (55 citations). Brian Wu has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Mohit Kapoor, P. Datta, Anirudh Sharma, Evgeny Rossomacha, Jason S. Rockel, Rajiv Gandhi, Pampee P. Young, Sarah Lechner, Caressa Lietman and Andrew A. Shinar. Their work appears in journals such as Current Rheumatology Reports, JCI Insight, Wound Repair and Regeneration, Scientific Reports and Science Signaling.

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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