John H. Drew

3.1k citations
112 papers · 1.9k indexed · h-index 26

Impact in

Papers in

John H. Drew

110 papers receiving 1.7k citations

Peers

John H. Drew
Comparison fields: 5 of 163
  • Pediatrics, Perinatology and Child Health 766
  • Obstetrics and Gynecology 153
  • Sensory Systems 87
  • Pulmonary and Respiratory Medicine 564
  • Endocrine and Autonomic Systems 109
Replace Jane Schulman with:
Jane Schulman United States
Nuala A. Sheehan United Kingdom
Hannu Oja Finland
David Faraggi Israel
Dennis B. Gillings United States
Dejian Lai United States
Markus Scholz Germany
Robert L. Carpenter United States
Fredrik Jönsson Sweden
Kwang‐Youn A. Kim United States
John H. Drew relative to Jane Schulman United States Jane Schulman's profile →
Citations per field
00.5×7.3×
Jane Schulman · 1×
Citations per year

Countries citing papers authored by John H. Drew

Since Specialization
Citations

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

Fields of papers citing papers by John H. Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202213
2 20101
3 20052
4 20034
5 199532
6
NEUROSENSORY OUTCOME AT 5 YEARS AND EXTREMELY LOW-BIRTH-WEIGHT
19958
7 19921
8 199160
9 19918
10 19894
11 19893
12 19892
13 198765
14 198731
15 198611
16 198458
17 198313
18 19771
19 197621
20 19744

About John H. Drew

John H. Drew is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Clinical Biochemistry and Statistics and Probability, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (21 papers), Neonatal Health and Biochemistry (16 papers), Birth, Development, and Health (12 papers), Congenital Diaphragmatic Hernia Studies (12 papers), Child and Adolescent Health (7 papers), Infant Development and Preterm Care (7 papers), Neonatal and fetal brain pathology (7 papers) and Matrix Theory and Algorithms (6 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (766 citations), Obstetrics and Gynecology (153 citations), Sensory Systems (87 citations), Pulmonary and Respiratory Medicine (564 citations) and Endocrine and Autonomic Systems (109 citations). John H. Drew has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Lawrence M. Leemis, Andrew G. Glen, William H. Kitchen, Norman A. Beischer, Charles R. Johnson, Diane L. Evans, Anne Rickards, Victor Yu, Neil Campbell and Carlos M. Arroyave. Their work appears in journals such as The Medical Journal of Australia, Australian and New Zealand Journal of Obstetrics and Gynaecology, Archives of Disease in Childhood, The Journal of Pediatrics and INFORMS journal on computing.

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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