Amy E. Sutherland

54 papers receiving 1.2k citations

Peers

Amy E. Sutherland
Comparison fields: 5 of 85
  • Pediatrics, Perinatology and Child Health 690
  • Endocrine and Autonomic Systems 160
  • Obstetrics and Gynecology 169
  • Developmental Neuroscience 87
  • Genetics 159
Replace Tamara Yawno with:
Tamara Yawno Australia
Michelle M. Loeliger Australia
Veena G. Supramaniam United Kingdom
Giampaolo Garani Italy
Xinhai Ji United States
Bettina Mesplès France
Jessie R. Maxwell United States
Pelin Cengiz United States
S Harel Israel
Michael J Cole 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201883
2 201682
3 201566
4 201454
5 201754
6 201954
7 201852
8 201448
9 201845
10 201243
11 201842
12 201738
13 201937
14 202034
15 202134
16 201733
17 201932
18 201226
19 201826
20 201926

About Amy E. Sutherland

Amy E. Sutherland is a scholar working on Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Developmental Neuroscience, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (32 papers), Neonatal Respiratory Health Research (23 papers), Birth, Development, and Health (11 papers), Pregnancy and preeclampsia studies (9 papers), Neuroscience of respiration and sleep (8 papers), Preterm Birth and Chorioamnionitis (4 papers), Circadian rhythm and melatonin (3 papers) and Anesthesia and Neurotoxicity Research (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (690 citations), Endocrine and Autonomic Systems (160 citations), Obstetrics and Gynecology (169 citations), Developmental Neuroscience (87 citations) and Genetics (159 citations). Amy E. Sutherland has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Suzanne Miller, Graham Jenkin, Tamara Yawno, Margie Castillo-Meléndez, Beth J. Allison, Courtney A. McDonald, Michael Collingwood Fahey, Euan Morrison Wallace, Yen Pham and Ilias Nitsos. Their work appears in journals such as Developmental Neuroscience, Pediatric Research, Experimental Neurology, The Journal of Physiology and International Journal of Molecular Sciences.

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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