Peter M. MacFarlane

86 papers receiving 2.1k citations

Peers

Peter M. MacFarlane
Comparison fields: 5 of 106
  • Endocrine and Autonomic Systems 1.2k
  • Pulmonary and Respiratory Medicine 990
  • Pathology and Forensic Medicine 282
  • Pharmacy 72
  • Pediatrics, Perinatology and Child Health 235
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Ryan W. Bavis United States
Tracy L. Baker United States
David F. Donnelly United States
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Claude Gaultier France
Prem Kumar United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Peter M. MacFarlane

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. MacFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009119
2 200990
3 201077
4 201275
5 200872
6 201270
7 200968
8 201468
9 201166
10 200764
11 201859
12 201457
13 201454
14 199951
15 201946
16 201245
17 201843
18 200142
19 201742
20 201541

About Peter M. MacFarlane

Peter M. MacFarlane is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Surgery, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (59 papers), Neonatal Respiratory Health Research (51 papers), Respiratory Support and Mechanisms (29 papers), Neonatal and fetal brain pathology (12 papers), Sleep and Wakefulness Research (9 papers), Congenital Diaphragmatic Hernia Studies (7 papers), High Altitude and Hypoxia (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Pulmonary and Respiratory Medicine (990 citations), Pathology and Forensic Medicine (282 citations), Pharmacy (72 citations) and Pediatrics, Perinatology and Child Health (235 citations). Peter M. MacFarlane has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Gordon S. Mitchell, Richard J. Martin, Juliann M. Di Fiore, Michael S. Hoffman, Peter B. Frappell, Stéphane Vinit, Erica A. Dale, Y. S. Prakash, Anjum Jafri and M.R. Lovett-Barr. Their work appears in journals such as Respiratory Physiology & Neurobiology, The FASEB Journal, Pediatric Research, Neonatology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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