D. Webster

642 citations
16 papers · 551 · h-index 10

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Microbiology top 10%
    • Microbial infections and disease research

Papers in

    • Immune Cell Function and Interaction 2
    • Immunodeficiency and Autoimmune Disorders 1
    • Microbial infections and disease research 2

D. Webster

15 papers receiving 513 citations

Peers

D. Webster
Comparison fields: 5 of 72
  • Immunology 216
  • Microbiology 58
  • Radiology, Nuclear Medicine and Imaging 179
  • Small Animals 29
  • Rheumatology 46
Replace George Senyk with:
George Senyk United States
P. R. Cullen United Kingdom
Femke J. M. Muller Netherlands
J H Slack United States
C H Hammer United States
Hiroo Inouye Japan
Jean‐Pierre Mach Switzerland
Ferenc Péterfy Hungary
Kanna Kobayashi Japan
J P Kusnierz France
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Citations per field
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Citations per year

Countries citing papers authored by D. Webster

Since Specialization
Citations

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

Fields of papers citing papers by D. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1988153
2 200986
3 199467
4 200143
5 199533
6 200332
7 198930
8
Lymphocyte recruitment in vaccinia virus-induced cutaneous delayed-type hypersensitivity.
198630
9 200525
10 197418
11 200710
12 20149
13 19886
14 19746
15 19803
16
Aviremia 10-year post-ART discontinuation initiated at seroconversion
20150

About D. Webster

D. Webster is a scholar working on Immunology, Microbiology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Virology, having authored 16 papers that have together received 551 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Plant Physiology and Cultivation Studies (2 papers), Microbial infections and disease research (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Immune Cell Function and Interaction (2 papers), Glycosylation and Glycoproteins Research (1 paper), Plant Reproductive Biology (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Immunology (216 citations), Microbiology (58 citations), Radiology, Nuclear Medicine and Imaging (179 citations), Small Animals (29 citations) and Rheumatology (46 citations). D. Webster has collaborated with scholars based in United Kingdom, Denmark and France. Frequent co-authors include Anthony R. Rees, Dan Eilat, Jocelyn R. Eason, Helena Windsor, D.G. Pitcher, Clare Louise Ling, Jeanette M. Stoltz, Thomas B. Issekutz, Jonathan J. S. Powell and CH Aldam. Their work appears in journals such as HIV Medicine, Bone Marrow Transplantation, Journal of Infection, Sociology and Clinical Infectious Diseases.

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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