John Hay

4.0k citations
96 papers · 3.1k indexed · 2 hit papers · h-index 29

Impact in

Papers in

John Hay

92 papers receiving 3.0k citations

Hit Papers

Use of Subgenic 18S Ribosomal DNA PCR and Sequencing for Genus and Genotype Identification of Acanthamoebae from Humans with Keratitis and from Sewage Sludge 2001 · 501 citations
5011968202619872006100200300400500

Peers

John Hay
Comparison fields: 5 of 151
  • Endocrinology 821
  • Virology 270
  • Parasitology 240
  • Ophthalmology 325
  • Epidemiology 1.0k
Replace Michel Desjardins with:
Michel Desjardins Canada
Craig W. Roberts United Kingdom
Hervé Bazin Belgium
Matthew P. Taylor United States
P. Wildy United Kingdom
Cheng‐Feng Qin China
J. Hay United Kingdom
Alice Dautry‐Varsat France
Robin C. May United Kingdom
Éric Ghigo France
John Hay relative to Michel Desjardins Canada Michel Desjardins's profile →
Citations per field
00.5×9.6×
Michel Desjardins · 1×
Citations per year

Countries citing papers authored by John Hay

Since Specialization
Citations

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

Fields of papers citing papers by John Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20234
3 20196
4 201610
5 20156
6 20136
7 201043
8 200234
9 200039
10
Acanthamoeba keratitis: early diagnosis, rational drug intervention and prevention
19975
11 199411
12
An improved procedure for the purification of protein fused with glutathione S-transferase.
199245
13 19881
14 1986172
15
De rebus Japonicis, Indicis, et Peruanis epistolæ recentiores
19771
16 19701
17 19701
18 19705
19 19653
20 19654

About John Hay

John Hay is a scholar working on Endocrinology, Virology, Parasitology, Catalysis and Epidemiology, having authored 96 papers that have together received 3.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (34 papers), Viral Infections and Vectors (12 papers), Virus-based gene therapy research (11 papers), Insect and Pesticide Research (10 papers), Catalysis and Oxidation Reactions (9 papers), Toxin Mechanisms and Immunotoxins (9 papers), Legionella and Acanthamoeba research (8 papers) and Plant Virus Research Studies (8 papers). The work is most often cited by research in Endocrinology (821 citations), Virology (270 citations), Parasitology (240 citations), Ophthalmology (325 citations) and Epidemiology (1.0k citations). John Hay has collaborated with scholars based in United States, United Kingdom and Kazakhstan. Frequent co-authors include William T. Ruyechan, D.V. Seal, A. R. Forrester, Ronald H. Thomson, Thomas J. Byers, Paul A. Fuerst, Jill M. Schroeder, Gregory C. Booton, Ingrid A. Niszl and Miles B. Markus. Their work appears in journals such as Journal of Virology, Virology, Frontiers in Public Health, Eye and Advances in experimental medicine and biology.

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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