George Booth

805 citations
13 papers · 614 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Asthma and respiratory diseases
    • Diet and metabolism studies

Papers in

George Booth

13 papers receiving 583 citations

Peers

George Booth
Comparison fields: 5 of 86
  • Immunology 188
  • Physiology 140
  • Endocrine and Autonomic Systems 30
  • Microbiology 27
  • Pulmonary and Respiratory Medicine 123
Replace Masamichi Itoga with:
Masamichi Itoga Japan
R. Glenn King United States
Nico A. Maris Netherlands
B. Gustafsson Sweden
Yumi Kono Japan
Cameron Landers United States
Caroline George United States
FRITZ E. MÜLLER Germany
James Buckley United Kingdom
George Booth relative to Masamichi Itoga Japan Masamichi Itoga's profile →
Citations per field
00.5×2×3×3.9×
Masamichi Itoga · 1×
Citations per year

Countries citing papers authored by George Booth

Since Specialization
Citations

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

Fields of papers citing papers by George Booth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1977110
2 2001103
3 200898
4 201172
5 201861
6 201449
7 201535
8 201424
9 200824
10 201724
11 19988
12 20004
13 20252

About George Booth

George Booth is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Infectious Diseases, Physiology and Cancer Research, having authored 13 papers that have together received 614 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), NF-κB Signaling Pathways (2 papers), Antifungal resistance and susceptibility (2 papers), Immune Response and Inflammation (2 papers), Diabetes and associated disorders (1 paper), Immunotherapy and Immune Responses (1 paper), Bacterial Infections and Vaccines (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Immunology (188 citations), Physiology (140 citations), Endocrine and Autonomic Systems (30 citations), Microbiology (27 citations) and Pulmonary and Respiratory Medicine (123 citations). George Booth has collaborated with scholars based in United Kingdom, Denmark and Singapore. Frequent co-authors include Dave Singh, TB Van Itallie, Simon Lea, Andrew Higham, Tie Zheng Hou, Emily M. Schmidt, Jonathan Plumb, Lucy S. K. Walker, Chris Harbron and Louise E. Clough. Their work appears in journals such as Respiratory Research, British Journal of Clinical Pharmacology, Infection and Immunity, Microbiology and The Journal of 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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