Duncan B. Sutherland

487 citations
12 papers · 364 · h-index 8

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2
    • Gut microbiota and health 2

Duncan B. Sutherland

11 papers receiving 347 citations

Peers

Duncan B. Sutherland
Comparison fields: 5 of 93
  • Virology 39
  • Immunology 164
  • Parasitology 32
  • Gastroenterology 17
  • Infectious Diseases 58
Replace J.-C. Guillon with:
J.-C. Guillon France
Anna Goodwin United States
Xiaoping Tang China
Kazuto Ishida Japan
Monique Parenteau Canada
Telma Miyuki Oshiro Brazil
J.C. Nicolas France
Iwona Mozer‐Lisewska Poland
Sher L. Hendrickson United States
Ichiro Takajo Japan
Duncan B. Sutherland relative to J.-C. Guillon France J.-C. Guillon's profile →
Citations per field
00.5×10×17×
J.-C. Guillon · 1×
Citations per year

Countries citing papers authored by Duncan B. Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Duncan B. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duncan B. Sutherland. 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 Duncan B. Sutherland. The network helps show where Duncan B. Sutherland may publish in the future.

Co-authors

The 23 scholars most cited alongside Duncan B. Sutherland, 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 Duncan B. Sutherland Line = papers co-authored together Duncan B. Sutherland links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201684
2 200772
3 201256
4 195547
5 201531
6 201429
7 199420
8 201014
9 19666
10 20073
11 19712
12 19710

About Duncan B. Sutherland

Duncan B. Sutherland is a scholar working on Immunology, Molecular Biology, Virology, Ocean Engineering and Epidemiology, having authored 12 papers that have together received 364 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Parasites and Host Interactions (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Gut microbiota and health (2 papers), HIV Research and Treatment (2 papers), Engineering and Technology Innovations (1 paper) and Seismic Waves and Analysis (1 paper). The work is most often cited by research in Virology (39 citations), Immunology (164 citations), Parasitology (32 citations), Gastroenterology (17 citations) and Infectious Diseases (58 citations). Duncan B. Sutherland has collaborated with scholars based in Switzerland, Australia and United States. Frequent co-authors include Sidonia Fagarasan, Keiichiro Suzuki, Charani Ranasinghe, Ian A. Ramshaw, C. R. McArthur, Peter C. Doherty, Garry A. Neil, Benjamin J. Marsland, J. Sjef Verbeek and Julia Esser‐von Bieren. Their work appears in journals such as The Journal of Immunology, Geophysics, Current Opinion in Immunology, PLoS Pathogens and American Journal of Physiology-Cell Physiology.

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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