Maida L. Chen

655 citations
17 papers · 349 indexed · h-index 11
Topics
Obstructive Sleep Apnea Research (10 papers)Neuroscience of respiration and sleep (9 papers)Tracheal and airway disorders (5 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Maida L. Chen

17 papers receiving 341 citations

Peers

Maida L. Chen
Comparison fields: 5 of 50
  • Physiology 196
  • Endocrine and Autonomic Systems 195
  • Pulmonary and Respiratory Medicine 192
  • Surgery 53
  • Cognitive Neuroscience 45
Replace Mieke Maris with:
Mieke Maris Belgium
Andrei Khramtsov United States
Alessandra Rizzoli Italy
Peter Nieminen Finland
Laura Vigil Spain
Christian Schlatzer Switzerland
François Abel United Kingdom
S Eitner Germany
Stacey Quo United States
Adriane Iurck Zonato Brazil
Maida L. Chen relative to Mieke Maris Belgium Mieke Maris's profile →
Citations per field
00.5×1.7×
Mieke Maris · 1×
Citations per year

Countries citing papers authored by Maida L. Chen

Since Specialization
Citations

This map shows the geographic impact of Maida L. 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 L. 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 L. Chen more than expected).

Fields of papers citing papers by Maida L. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maida L. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Maida L. Chen. A scholar is included among the top collaborators of Maida L. Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maida L. Chen. Maida L. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2 22
3 10
4 6
5 7
6 15
7 20
8 8
9 23
10 64
11 22
12 8
13 26
14
Obesity management in Prader-Willi syndrome.
7
15 27
16 36
17 43

About Maida L. Chen

Maida L. Chen is a scholar working on Endocrine and Autonomic Systems, Physiology and Speech and Hearing, having authored 17 papers that have together received 349 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (10 papers), Neuroscience of respiration and sleep (9 papers) and Tracheal and airway disorders (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (195 citations), Physiology (196 citations) and Pulmonary and Respiratory Medicine (192 citations). Maida L. Chen has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Sanjay R. Parikh, David L. Horn, Geoffrey M. Greenlee, Hitesh Kapadia, Erin M. Kirkham, Kaalan Johnson, Sally L. Davidson Ward, Michael C. K. Khoo, Thomas G. Keens and Zheng Lin. Their work appears in journals such as The Journal of Pediatrics, SLEEP and The Laryngoscope.

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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