Ian Kay

1.4k citations
28 papers · 1.0k · h-index 17

Impact in

Papers in

    • Pneumonia and Respiratory Infections 7
    • Respiratory viral infections research 4
    • Antimicrobial Resistance in Staphylococcus 6
    • Clostridium difficile and Clostridium perfringens research 3
    • SARS-CoV-2 detection and testing 3

Ian Kay

28 papers receiving 984 citations

Peers

Ian Kay
Comparison fields: 5 of 75
  • Clinical Biochemistry 250
  • Infectious Diseases 457
  • Epidemiology 416
  • Microbiology 77
  • Applied Microbiology and Biotechnology 23
Replace Nadège Bourgeois‐Nicolaos with:
Nadège Bourgeois‐Nicolaos France
Anne‐Marie Van den Abeele Belgium
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P. Rocco LaSala United States
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Ian Kay relative to Nadège Bourgeois‐Nicolaos France Nadège Bourgeois‐Nicolaos's profile →
Citations per field
00.5×2.9×
Nadège Bourgeois‐Nicolaos · 1×
Citations per year

Countries citing papers authored by Ian Kay

Since Specialization
Citations

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

Fields of papers citing papers by Ian Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003154
2 2009150
3 200593
4 200692
5 200370
6 200465
7 200355
8 200353
9 200334
10 201833
11 199531
12 200130
13 200828
14 199921
15 201419
16 200118
17 201716
18 201115
19 199711
20 19966

About Ian Kay

Ian Kay is a scholar working on Epidemiology, Infectious Diseases, Clinical Biochemistry, Pulmonary and Respiratory Medicine and Microbiology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Respiratory viral infections research (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), SARS-CoV-2 detection and testing (3 papers), Pleural and Pulmonary Diseases (3 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Clinical Biochemistry (250 citations), Infectious Diseases (457 citations), Epidemiology (416 citations), Microbiology (77 citations) and Applied Microbiology and Biotechnology (23 citations). Ian Kay has collaborated with scholars based in Australia, United Kingdom and Spain. Frequent co-authors include Silvano Palladino, Todd M. Pryce, Geoffrey W. Coombs, James Flexman, Grant Waterer, Anna‐Maria Costa, Christopher H. Heath, Manel Luján, Jordi Rello and Thiago Lisboa. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology, PLoS ONE, Respirology and Clinical Microbiology and Infection.

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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