Bryan Wu

2.4k citations
25 papers · 1.7k · h-index 19

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders

Papers in

Bryan Wu

24 papers receiving 1.7k citations

Peers

Bryan Wu
Comparison fields: 5 of 111
  • Immunology 912
  • Biological Psychiatry 41
  • Aging 26
  • Immunology and Allergy 70
  • Neurology 94
Replace Nicolas Fazilleau with:
Nicolas Fazilleau France
Nan‐Shih Liao Taiwan
Jacques Deguine United States
Alexandros D. Polydorides United States
Kim Kusser United States
Kristina T. Lu United States
Sheila Brown United Kingdom
Lori Garman United States
Jonathan M. Coquet Sweden
Josephine Lum Singapore
Bryan Wu relative to Nicolas Fazilleau France Nicolas Fazilleau's profile →
Citations per field
00.5×2×2.6×
Nicolas Fazilleau · 1×
Citations per year

Countries citing papers authored by Bryan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008340
2 2010225
3 1995147
4 2011139
5 2009112
6 2011111
7 201087
8 201282
9 201181
10 201655
11 201555
12 201648
13 201443
14 201640
15 200232
16 201530
17 201821
18 201920
19 202319
20 201515

About Bryan Wu

Bryan Wu is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Epidemiology and Physiology, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (12 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immunotherapy and Immune Responses (4 papers), Allergic Rhinitis and Sensitization (3 papers), Asthma and respiratory diseases (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (912 citations), Biological Psychiatry (41 citations), Aging (26 citations), Immunology and Allergy (70 citations) and Neurology (94 citations). Bryan Wu has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Deborah K. Dunn‐Walters, David Kipling, Victoria Martin, Hui Sun Leong, R. S. Vaughan, Anders Wikby, Kate Gibson, E. Kondeatis, Bengt‐Olof Nilsson and Orla Duggan. Their work appears in journals such as Frontiers in Immunology, Journal of Allergy and Clinical Immunology, Aging Cell, Biogerontology and International Immunology.

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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