Brian Webster

905 citations
17 papers · 754 · h-index 14

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • CAR-T cell therapy research 5
    • Lymphatic System and Diseases 2
    • interferon and immune responses 4

Brian Webster

16 papers receiving 743 citations

Peers

Brian Webster
Comparison fields: 5 of 61
  • Immunology 221
  • Hepatology 95
  • Oncology 203
  • Biochemistry 31
  • Immunology and Allergy 13
Replace Angelica M. Cazaly with:
Angelica M. Cazaly United Kingdom
Anannya Bhattacharya United States
Maria Luisa Colamussi Italy
Flavia Borellini United States
Salil Garg United States
Yiftah Barsheshet Israel
Matthew E. Johnson United States
Adel M. Nour United States
Yong Ran China
Bojan Vilagos Austria
Brian Webster relative to Angelica M. Cazaly United Kingdom Angelica M. Cazaly's profile →
Citations per field
00.5×2×2.6×
Angelica M. Cazaly · 1×
Citations per year

Countries citing papers authored by Brian Webster

Since Specialization
Citations

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

Fields of papers citing papers by Brian Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2006176
2 2013100
3 200679
4 201858
5 202251
6 201950
7 201642
8 201341
9 201039
10 202130
11 201529
12 202219
13 202115
14 201214
15 20067
16 19874
17 20250

About Brian Webster

Brian Webster is a scholar working on Oncology, Immunology, Hepatology, Emergency Medical Services and Molecular Biology, having authored 17 papers that have together received 754 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), interferon and immune responses (4 papers), Hepatitis C virus research (3 papers), Lymphatic System and Diseases (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Immunology (221 citations), Hepatology (95 citations), Oncology (203 citations), Biochemistry (31 citations) and Immunology and Allergy (13 citations). Brian Webster has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Susan Chyou, Theresa T. Lu, Marlène Dreux, Sonia Assil, Warner C. Greene, Mélanie Ott, Eric H. Ekland, Lucila M. A. Agle, Eva Herker and Chia-Lin Tsou. Their work appears in journals such as Journal of Virology, Cytotherapy, OncoImmunology, New England Journal of Medicine and Journal of Neuropathology & Experimental Neurology.

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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