Guy T. Layton

1.9k citations
50 papers · 1.7k indexed · h-index 22

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Guy T. Layton

50 papers receiving 1.6k citations

Peers

Guy T. Layton
Comparison fields: 5 of 90
  • Virology 246
  • Immunology 794
  • Immunology and Allergy 156
  • Dermatology 139
  • Epidemiology 321
Replace Glenn Ishioka with:
Glenn Ishioka United States
Denise M. McKinney United States
Donna Fluitsma Netherlands
Claude Auriault France
Fabienne Anjuère France
Andrew F. Geczy Australia
J P Tite United Kingdom
Nelly A. Kuklin United States
I M Katona United States
Hidehiro Takahashi Japan
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Citations per field
00.5×1.7×
Glenn Ishioka · 1×
Citations per year

Countries citing papers authored by Guy T. Layton

Since Specialization
Citations

This map shows the geographic impact of Guy T. Layton'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 Guy T. Layton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy T. Layton more than expected).

Fields of papers citing papers by Guy T. Layton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy T. Layton. 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 Guy T. Layton. The network helps show where Guy T. Layton may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200968
2 2002228
3 200214
4 200112
5 200122
6 200039
7 199876
8 19976
9 199722
10 199613
11 199638
12 199512
13 199525
14 199414
15 199281
16
Evaluation of an inhibition enzyme immunoassay kit for mammary serum antigen (MSA)
19916
17 19913
18
Cancer-associated serum antigen (CASA) and ovarian serum antigen (OSA): Two new tumor marker kits for detecting carcinoma-associated mucins
19918
19 199139
20 198933

About Guy T. Layton

Guy T. Layton is a scholar working on Virology, Immunology and Allergy, Immunology, Radiology, Nuclear Medicine and Imaging and Dermatology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), HIV Research and Treatment (11 papers), Herpesvirus Infections and Treatments (9 papers), T-cell and B-cell Immunology (8 papers), Glycosylation and Glycoproteins Research (6 papers), Immunotherapy and Immune Responses (6 papers), Mosquito-borne diseases and control (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Virology (246 citations), Immunology (794 citations), Immunology and Allergy (156 citations), Dermatology (139 citations) and Epidemiology (321 citations). Guy T. Layton has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Stephen Harris, Manfred B. Lutz, Sally E. Adams, Peter L. Devine, Steve Harris, Magdalena Plebanski, Sarah C. Gilbert, Alan J. Kingsman, Adrian V. S. Hill and D.R. Stanworth. Their work appears in journals such as European Journal of Immunology, Vaccine, The Journal of Immunology, Journal of Immunological Methods and Journal of Medical Virology.

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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