Wayne L. Gray

1.8k citations
61 papers · 1.4k · h-index 22

Impact in

Papers in

Wayne L. Gray

61 papers receiving 1.4k citations

Peers

Wayne L. Gray
Comparison fields: 5 of 63
  • Virology 352
  • Animal Science and Zoology 340
  • Epidemiology 1.1k
  • Parasitology 196
  • Immunology 499
Replace K. A. Schat with:
K. A. Schat United States
D. McNab United Kingdom
David Deane United Kingdom
R. W. Darlington United States
Geoffrey J. Letchworth United States
Alı́ Alejo Spain
Lorraine P. Smith United Kingdom
Christopher Cowled Australia
K. K. Sethi Germany
H. Izawa Japan
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Citations per year

Countries citing papers authored by Wayne L. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Wayne L. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne L. Gray. 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 Wayne L. Gray. The network helps show where Wayne L. Gray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002116
2 198785
3 200181
4 198767
5 200267
6 199257
7 200446
8 198446
9 199945
10 200343
11 199242
12 198839
13 201937
14 199234
15
Degeneracy in the secondary immune response: stimulation of antibody formation by cross-reacting antigens.
196932
16 200731
17 198628
18 198826
19 199326
20 199825

About Wayne L. Gray

Wayne L. Gray is a scholar working on Epidemiology, Animal Science and Zoology, Immunology, Virology and Plant Science, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (52 papers), Animal Virus Infections Studies (18 papers), Plant Virus Research Studies (15 papers), Cytomegalovirus and herpesvirus research (15 papers), Poxvirus research and outbreaks (13 papers), Aquaculture disease management and microbiota (7 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Virology (352 citations), Animal Science and Zoology (340 citations), Epidemiology (1.1k citations), Parasitology (196 citations) and Immunology (499 citations). Wayne L. Gray has collaborated with scholars based in United States and Germany. Frequent co-authors include Billy R. Griffin, Carla Y. Pumphrey, Dennis J. O’Callaghan, Alice Robertson, T. M. Fletcher, Ravi Mahalingam, Kenneth B. Davis, Raymond P. Baumann, John Staczek and Lisa Mullis. Their work appears in journals such as Virology, Journal of General Virology, Virus Research, Archives of Virology and Journal of Medical Primatology.

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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