John C. Sinclair

24 papers receiving 810 citations

Peers

John C. Sinclair
Comparison fields: 5 of 105
  • Statistics, Probability and Uncertainty 131
  • Statistics and Probability 176
  • Pediatrics, Perinatology and Child Health 140
  • Critical Care and Intensive Care Medicine 41
  • Obstetrics and Gynecology 59
Replace Claudio M. Vera with:
Claudio M. Vera Chile
A Aïssa Benhaddad France
Gemma Clayton United Kingdom
Rafael Marques Soares Brazil
Roman Z. Jaeschke Canada
Georgia D Tomova United Kingdom
Erin M. Macdonald Canada
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Laurie Berrie United Kingdom
Mohamad Alshurafa Canada
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Citations per year

Countries citing papers authored by John C. Sinclair

Since Specialization
Citations

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

Fields of papers citing papers by John C. Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994209
2 1998151
3 200194
4 199583
5 198353
6 196450
7 198649
8 196645
9 197044
10 198932
11 198224
12 198520
13 200314
14 201310
15
Medical staffing in Ontario neonatal intensive care units.
19898
16 20098
17 20118
18 19706
19 19723
20 19753

About John C. Sinclair

John C. Sinclair is a scholar working on Critical Care and Intensive Care Medicine, Statistics and Probability, Pediatrics, Perinatology and Child Health, Statistics, Probability and Uncertainty and Physiology, having authored 26 papers that have together received 925 indexed citations. Recurring topics across this work include Thermal Regulation in Medicine (7 papers), Statistical Methods in Clinical Trials (7 papers), Infant Development and Preterm Care (5 papers), Meta-analysis and systematic reviews (5 papers), Thermoregulation and physiological responses (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Neonatal Respiratory Health Research (3 papers) and Statistical Methods in Epidemiology (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (131 citations), Statistics and Probability (176 citations), Pediatrics, Perinatology and Child Health (140 citations), Critical Care and Intensive Care Medicine (41 citations) and Obstetrics and Gynecology (59 citations). John C. Sinclair has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Michael B. Bracken, William A. Silverman, Manouchehr Tavakoli, Jonathan J Deeks, Huw T.O. Davies, Iain Kinloch Crombie, Gordon Henry Guyatt, Stephen G. Pauker, Richard J. Cook and Frederic J. Agate. Their work appears in journals such as Journal of Clinical Epidemiology, The Journal of Pediatrics, New England Journal of Medicine, Early Human Development and Clinics in Perinatology.

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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