Maida Chen

16 papers receiving 210 citations

Peers

Maida Chen
Comparison fields: 5 of 38
  • Endocrine and Autonomic Systems 41
  • Experimental and Cognitive Psychology 65
  • Neurology 33
  • Cognitive Neuroscience 56
  • Pediatrics, Perinatology and Child Health 49
Replace Alessandra Graziano with:
Alessandra Graziano Italy
Sussanne Reyes Chile
Priscila Farias Tempaku Brazil
Catherine M. Gordon United States
Roberta M. Leu United States
Frank M. Ralls United States
Kryštof Kantor Czechia
Mary Anne Tablizo United States
O’Neill F. D’Cruz United States
Antonín Kolek Czechia
Maida Chen relative to Alessandra Graziano Italy Alessandra Graziano's profile →
Citations per field
00.5×3.3×
Alessandra Graziano · 1×
Citations per year

Countries citing papers authored by Maida Chen

Since Specialization
Citations

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

Fields of papers citing papers by Maida Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maida Chen. 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 Maida Chen. The network helps show where Maida Chen may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201764
2 200844
3 201128
4 201620
5 201917
6 201710
7 20189
8 20166
9 20184
10 20204
11 20212
12 20212
13
Abnormal Videofluoroscopic Swallow Studies (VFSS) in Infants with Prader-Willi Syndrome Indicate a High Rate of Silent Aspiration
20161
14 20201
15 20201
16 20151

About Maida Chen

Maida Chen is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Endocrine and Autonomic Systems, Experimental and Cognitive Psychology and Genetics, having authored 16 papers that have together received 214 indexed citations. Recurring topics across this work include Tracheal and airway disorders (6 papers), Obstructive Sleep Apnea Research (6 papers), Neuroscience of respiration and sleep (4 papers), Sleep and related disorders (3 papers), Neonatal Respiratory Health Research (2 papers), Genetic Syndromes and Imprinting (2 papers), Youth Substance Use and School Attendance (2 papers) and Congenital Diaphragmatic Hernia Studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (41 citations), Experimental and Cognitive Psychology (65 citations), Neurology (33 citations), Cognitive Neuroscience (56 citations) and Pediatrics, Perinatology and Child Health (49 citations). Maida Chen has collaborated with scholars based in United States and Canada. Frequent co-authors include Tonya M. Palermo, Emily F. Law, Sarah E. Beals‐Erickson, Maggie H. Bromberg, Yemiserach Kifle, Travis Nelson, Jonathan A. Perkins, Babette S. Saltzman, Russell E. Ettinger and Richard A. Hopper. Their work appears in journals such as Sleep Medicine, Journal of Clinical Sleep Medicine, Medicine, Acta Oto-Laryngologica and Plastic & Reconstructive Surgery.

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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