Peter McNair

28 papers receiving 859 citations

Peers

Peter McNair
Comparison fields: 5 of 107
  • Behavioral Neuroscience 49
  • Endocrine and Autonomic Systems 64
  • Endocrinology, Diabetes and Metabolism 128
  • Health Information Management 33
  • Genetics 202
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Citations per year

Countries citing papers authored by Peter McNair

Since Specialization
Citations

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

Fields of papers citing papers by Peter McNair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter McNair, 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 Peter McNair Line = papers co-authored together Peter McNair 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 1998251
2 201092
3
Similar peptides from two beta cell autoantigens, proinsulin and glutamic acid decarboxylase, stimulate T cells of individuals at risk for insulin-dependent diabetes.
199582
4 200973
5 199573
6 199765
7 199839
8 200023
9 200622
10
Circadian rhythmicity of interferon-gamma production in antigen-stimulated whole blood.
199521
11 200917
12 199517
13 200217
14 200915
15 201913
16 200212
17 201911
18 201211
19 20177
20
CMS Changes in Reimbursement for HAIs
20107

About Peter McNair

Peter McNair is a scholar working on General Health Professions, Genetics, Economics and Econometrics, Surgery and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 891 indexed citations. Recurring topics across this work include Diabetes and associated disorders (6 papers), Primary Care and Health Outcomes (5 papers), Healthcare Policy and Management (4 papers), Diabetes Management and Research (3 papers), Pancreatic function and diabetes (3 papers), Healthcare cost, quality, practices (2 papers), Circadian rhythm and melatonin (2 papers) and Medical Coding and Health Information (2 papers). The work is most often cited by research in Behavioral Neuroscience (49 citations), Endocrine and Autonomic Systems (64 citations), Endocrinology, Diabetes and Metabolism (128 citations), Health Information Management (33 citations) and Genetics (202 citations). Peter McNair has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Leonard C. Harrison, Nikolai Petrovsky, Harold S. Luft, Peter G. Colman, Andrew B. Bindman, Thomas W. H. Kay, Brian D. Tait, Margo C. Honeyman, Vladimir Brusić and Andrew M. Lew. Their work appears in journals such as Pediatric Diabetes, International Journal of Integrated Care, The Medical Journal of Australia, Medical Care and Australian and New Zealand Journal of Public Health.

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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