Danielle L. Wilson

611 citations
26 papers · 428 indexed · h-index 11

Impact in

Papers in

Danielle L. Wilson

24 papers receiving 421 citations

Peers

Danielle L. Wilson
Comparison fields: 5 of 47
  • Endocrine and Autonomic Systems 208
  • Obstetrics and Gynecology 107
  • Experimental and Cognitive Psychology 174
  • Physiology 240
  • Gastroenterology 35
Replace Alison M. Fung with:
Alison M. Fung Australia
Kim Ho United States
Diane M. Blyton Australia
John Kimoff Canada
K Lee United States
Samantha L. Hollis Australia
Katherine Cheshire United Kingdom
Joel S.C. Yang Australia
Aidan J. Weichard Australia
Anna Borgström Sweden
Danielle L. Wilson relative to Alison M. Fung Australia Alison M. Fung's profile →
Citations per field
00.5×1.6×
Alison M. Fung · 1×
Citations per year

Countries citing papers authored by Danielle L. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Danielle L. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle L. Wilson. 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 Danielle L. Wilson. The network helps show where Danielle L. Wilson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20240
4 20232
5 20231
6 20232
7 20235
8 20223
9 20227
10 20207
11 202013
12 20152
13 201521
14 201384
15 201233
16 201240
17 20128
18
Prediction of sleep-disordered breathing in pregnancy
20111
19 201076
20
ASPIRIN AND PREVENTION OF PREECLAMPSIA
19958

About Danielle L. Wilson

Danielle L. Wilson is a scholar working on Endocrine and Autonomic Systems, Obstetrics and Gynecology, Physiology, Pediatrics, Perinatology and Child Health and Experimental and Cognitive Psychology, having authored 26 papers that have together received 428 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (15 papers), Neuroscience of respiration and sleep (12 papers), Neonatal and fetal brain pathology (8 papers), Sleep and related disorders (5 papers), Sleep and Wakefulness Research (4 papers), Gestational Diabetes Research and Management (4 papers), Pregnancy and preeclampsia studies (3 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (208 citations), Obstetrics and Gynecology (107 citations), Experimental and Cognitive Psychology (174 citations), Physiology (240 citations) and Gastroenterology (35 citations). Danielle L. Wilson has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Maree Barnes, Susan Walker, Alison M. Fung, Mark E. Howard, Fergal J. O’Donoghue, Lenore Ellett, Michael Permezel, Martin Jackson, Simon F. Crowe and Stephen Tong. Their work appears in journals such as Journal of Sleep Research, Breastfeeding Medicine, PLoS ONE, SLEEP and BJOG An International Journal of Obstetrics & Gynaecology.

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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