Amy E. Sutherland

50 papers receiving 1.1k citations

Peers

Amy E. Sutherland
Comparison fields: 5 of 87
  • Pediatrics, Perinatology and Child Health 787
  • Endocrine and Autonomic Systems 190
  • Obstetrics and Gynecology 216
  • Developmental Neuroscience 102
  • Pulmonary and Respiratory Medicine 610
Replace Tamara Yawno with:
Tamara Yawno Australia
Bettina Mesplès France
Charlotte Höybye Sweden
Jessie R. Maxwell United States
S Harel Israel
Michael J Cole Australia
Giampaolo Garani Italy
Annett Rake Germany
Giselle Salmasi Canada
Raghu Ramakrishnaiah United States
Amy E. Sutherland relative to Tamara Yawno Australia Tamara Yawno's profile →
Citations per field
00.5×1.5×
Tamara Yawno · 1×
Citations per year

Countries citing papers authored by Amy E. Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Amy E. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy E. Sutherland. 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 Amy E. Sutherland. The network helps show where Amy E. Sutherland may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 201673
3 201559
4 201454
5 201749
6 201849
7 201947
8 201443
9 201842
10 201242
11 201839
12 201737
13 201934
14 201730
15 201929
16 202029
17 202127
18 201226
19 201824
20 201923

About Amy E. Sutherland

Amy E. Sutherland is a scholar working on Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems, Obstetrics and Gynecology, Developmental Neuroscience and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (36 papers), Neonatal and fetal brain pathology (33 papers), Birth, Development, and Health (15 papers), Pregnancy and preeclampsia studies (12 papers), Neuroscience of respiration and sleep (11 papers), Preterm Birth and Chorioamnionitis (7 papers), Anesthesia and Neurotoxicity Research (5 papers) and Congenital Diaphragmatic Hernia Studies (5 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (787 citations), Endocrine and Autonomic Systems (190 citations), Obstetrics and Gynecology (216 citations), Developmental Neuroscience (102 citations) and Pulmonary and Respiratory Medicine (610 citations). Amy E. Sutherland has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Stephanie Miller, Graham Jenkin, Tamara Yawno, Margie Castillo-Meléndez, Courtney McDonald, Beth J. Allison, Michael Fahey, Euan M. Wallace, Yen Pham and Ilias Nitsos. Their work appears in journals such as Developmental Neuroscience, Pediatric Research, Experimental Neurology, The Journal of Physiology and Journal of Pineal Research.

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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