G. M. Davis

3.2k citations
45 papers · 1.3k · h-index 20

Impact in

Papers in

G. M. Davis

45 papers receiving 1.3k citations

Peers

G. M. Davis
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 444
  • Pulmonary and Respiratory Medicine 919
  • Anesthesiology and Pain Medicine 108
  • Physiology 456
  • Surgery 357
Replace Michael Sampson with:
Michael Sampson United Kingdom
Anthony L. Mansell United States
Agneta Markström Sweden
Ephraim Bar‐Yishay Israel
Peggy M. Simon United States
S. J. England Canada
J P Derenne France
Daniel K. Ng China
Yakov Sivan Israel
Ral Antic Australia
G. M. Davis relative to Michael Sampson United Kingdom Michael Sampson's profile →
Citations per field
00.5×2.7×
Michael Sampson · 1×
Citations per year

Countries citing papers authored by G. M. Davis

Since Specialization
Citations

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

Fields of papers citing papers by G. M. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004289
2 199889
3 199886
4 200581
5 199766
6 199763
7 199861
8 199545
9 198942
10 198738
11 198835
12 199534
13 199432
14 200632
15 200827
16 198825
17 200022
18 199621
19 200620
20 199019

About G. M. Davis

G. M. Davis is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Endocrine and Autonomic Systems, Anesthesiology and Pain Medicine and Epidemiology, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (20 papers), Respiratory Support and Mechanisms (19 papers), Congenital Diaphragmatic Hernia Studies (12 papers), Neuroscience of respiration and sleep (10 papers), Airway Management and Intubation Techniques (5 papers), Muscle activation and electromyography studies (4 papers), Obstructive Sleep Apnea Research (4 papers) and Tracheal and airway disorders (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (444 citations), Pulmonary and Respiratory Medicine (919 citations), Anesthesiology and Pain Medicine (108 citations), Physiology (456 citations) and Surgery (357 citations). G. M. Davis has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Robert T. Brouillette, Allan L. Coates, Gillian M. Nixon, John J. Manoukian, Andrea Kermack, Karen A. Brown, Francine M. Ducharme, M. A. Bureau, Apostolos Papageorgiou and Lajos Kovács. Their work appears in journals such as Pediatric Pulmonology, Journal of Applied Physiology, The Journal of Pediatrics, PEDIATRICS and Acta Paediatrica.

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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