Gary McAuliffe

820 citations
32 papers · 425 · h-index 12

Impact in

Papers in

    • SARS-CoV-2 detection and testing 9
    • COVID-19 Clinical Research Studies 7
    • Viral gastroenteritis research and epidemiology 7
    • SARS-CoV-2 and COVID-19 Research 6
    • Clostridium difficile and Clostridium perfringens research 4
    • Respiratory viral infections research 5

Gary McAuliffe

30 papers receiving 417 citations

Peers

Gary McAuliffe
Comparison fields: 5 of 75
  • Applied Microbiology and Biotechnology 29
  • Infectious Diseases 226
  • Molecular Medicine 58
  • Endocrinology 45
  • Parasitology 50
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Citations per field
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Citations per year

Countries citing papers authored by Gary McAuliffe

Since Specialization
Citations

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

Fields of papers citing papers by Gary McAuliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201389
2 201751
3 201439
4 202133
5 201425
6 201521
7 201419
8 201416
9 202114
10 201713
11 201712
12 201912
13 202011
14 202310
15 202310
16 20218
17 20177
18 20216
19 20205
20
An understanding of discordant SARS-CoV-2 test results: an examination of the data from a central Auckland laboratory.
20205

About Gary McAuliffe

Gary McAuliffe is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Cardiology and Cardiovascular Medicine and Hematology, having authored 32 papers that have together received 425 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (9 papers), COVID-19 Clinical Research Studies (7 papers), Viral gastroenteritis research and epidemiology (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Reproductive tract infections research (6 papers), Respiratory viral infections research (5 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (29 citations), Infectious Diseases (226 citations), Molecular Medicine (58 citations), Endocrinology (45 citations) and Parasitology (50 citations). Gary McAuliffe has collaborated with scholars based in New Zealand, Australia and Canada. Frequent co-authors include Sally Roberts, Rob Baird, Susan Taylor, Joshua T. Freeman, Arlo Upton, Mary Betty Stevens, Lance Jennings, Sheryl A. Young, Trevor P. Anderson and David R. Murdoch. Their work appears in journals such as Pathology, Antimicrobial Resistance and Infection Control, The Pediatric Infectious Disease Journal, International Journal of STD & AIDS and Journal of Clinical Microbiology.

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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