Christine Won

2.8k citations
44 papers · 1.2k · h-index 18

Impact in

Papers in

Christine Won

40 papers receiving 1.1k citations

Peers

Christine Won
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 277
  • Physiology 593
  • Experimental and Cognitive Psychology 240
  • Cognitive Neuroscience 165
  • Pulmonary and Respiratory Medicine 181
Replace Peter M Turkington with:
Peter M Turkington United Kingdom
Juha Seppä Finland
Dominic K.L. Choy Hong Kong
John G. Park United States
Sophia E. Schiza Greece
Thomas S.T. Li Hong Kong
Pandora Christaki Greece
Adel Bachour Finland
Pooja Budhiraja United States
Olga Mediano Spain
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Citations per field
00.5×8.4×
Peter M Turkington · 1×
Citations per year

Countries citing papers authored by Christine Won

Since Specialization
Citations

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

Fields of papers citing papers by Christine Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018219
2 2010119
3 2008115
4 2020110
5 2019101
6 201655
7 202152
8 201845
9 201441
10 202141
11 201531
12 201230
13 201827
14 202121
15 201018
16 202318
17 201918
18 201417
19 202315
20 20218

About Christine Won

Christine Won is a scholar working on Physiology, Endocrine and Autonomic Systems, Cognitive Neuroscience, Experimental and Cognitive Psychology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (30 papers), Neuroscience of respiration and sleep (14 papers), Sleep and Wakefulness Research (9 papers), Sleep and related disorders (8 papers), Tracheal and airway disorders (5 papers), Respiratory Support and Mechanisms (3 papers), Restless Legs Syndrome Research (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (277 citations), Physiology (593 citations), Experimental and Cognitive Psychology (240 citations), Cognitive Neuroscience (165 citations) and Pulmonary and Respiratory Medicine (181 citations). Christine Won has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Ghada Bourjeily, Martino F. Pengo, Christian Guilleminault, H. Klar Yaggi, Bernardo J. Selim, Kun Li, Hyung J. Chun, Qin Li, Tamar Sofer and Christina Price. Their work appears in journals such as Journal of Clinical Sleep Medicine, CHEST Journal, Clinics in Chest Medicine, Sleep Medicine and SLEEP.

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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