David J. Burchfield

2.4k citations
66 papers · 1.3k indexed · h-index 19

Impact in

Papers in

David J. Burchfield

63 papers receiving 1.2k citations

Peers

David J. Burchfield
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 253
  • Pediatrics, Perinatology and Child Health 612
  • Pulmonary and Respiratory Medicine 585
  • Obstetrics and Gynecology 137
  • Emergency Medicine 149
Replace M. Weninger with:
M. Weninger Austria
Paul Thiessen Canada
Andrea Dotta Italy
Gerhard Jorch Germany
J Messer France
Helen Mactier United Kingdom
David L. Schutzman United States
Raul Bejar United States
Apostolos Papageorgiou Canada
Jan Mazela Poland
David J. Burchfield relative to M. Weninger Austria M. Weninger's profile →
Citations per field
00.5×1.5×1.9×
M. Weninger · 1×
Citations per year

Countries citing papers authored by David J. Burchfield

Since Specialization
Citations

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

Fields of papers citing papers by David J. Burchfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Burchfield. 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 David J. Burchfield. The network helps show where David J. Burchfield may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20233
3 202133
4 2007114
5 20055
6 200210
7 200115
8 20011
9 19966
10 19955
11 199418
12 19947
13 199312
14 199313
15 19924
16 199118
17 199130
18 199024
19 19909
20 19886

About David J. Burchfield

David J. Burchfield is a scholar working on Endocrine and Autonomic Systems, Toxicology, Pediatrics, Perinatology and Child Health, Emergency Medicine and Obstetrics and Gynecology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (18 papers), Neuroscience of respiration and sleep (17 papers), Prenatal Substance Exposure Effects (11 papers), Neonatal and fetal brain pathology (10 papers), Infant Development and Preterm Care (8 papers), Cardiac Arrest and Resuscitation (7 papers), Cannabis and Cannabinoid Research (7 papers) and Respiratory Support and Mechanisms (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (253 citations), Pediatrics, Perinatology and Child Health (612 citations), Pulmonary and Respiratory Medicine (585 citations), Obstetrics and Gynecology (137 citations) and Emergency Medicine (149 citations). David J. Burchfield has collaborated with scholars based in United States, Mexico and South Korea. Frequent co-authors include Tonse N.K. Raju, Gerald F. Joseph, Brian M. Mercer, Robert M. Abrams, B.M. Mercer, R.M. Abrams, Kenneth J. Gerhardt, Victor W. Lucas, Matthew A. Saxonhouse and Ernest M. Graham. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Developmental Brain Research, The Journal of Pediatrics, Journal of Perinatology and Resuscitation.

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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