Stephen Wang
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- Neuroscience of respiration and sleep 5
- Physiology top 10%
- Obstructive Sleep Apnea Research 7
- Voice and Speech Disorders 3
- Speech and Hearing top 10%
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- Long-Term Effects of COVID-19 11
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- COVID-19 Clinical Research Studies 9
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- COVID-19 and healthcare impacts 4
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- Diabetes and associated disorders 3
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- Intensive Care Unit Cognitive Disorders 3
- Co-authors
- Brendan T KeenanRichard J. SchwabTimothy Q. DuongDrew A. TorigianAllan I PackAndrew WiemkenBethany StaleyDavid B. Sarwer
- Journals
- Scientific Reports (5 papers)American Journal of Respiratory and Critical Care Medicine (3 papers)Diabetes Obesity and Metabolism (2 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Stephen Wang
28 papers receiving 526 citations
Peers
Comparison fields: 5 of 81
- Endocrine and Autonomic Systems 229
- Physiology 325
- Speech and Hearing 53
- Neurology 83
- Pulmonary and Respiratory Medicine 132
Countries citing papers authored by Stephen Wang
This map shows the geographic impact of Stephen Wang'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 Stephen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Wang more than expected).
Fields of papers citing papers by Stephen Wang
This network shows the impact of papers produced by Stephen Wang. 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 Stephen Wang. The network helps show where Stephen Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 8 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 16 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 18 | |
| 13 | 2023 | 28 | |
| 14 | 2022 | 24 | |
| 15 | 2020 | 123 | |
| 16 | Enhancing Brand Credibility via Celebrity Endorsement: Trustworthiness Trumps Attractiveness and Expertise | 2018 | 21 |
| 17 | 2018 | 26 | |
| 18 | 2017 | 30 | |
| 19 | 2017 | 38 | |
| 20 | 2015 | 72 |
About Stephen Wang
Stephen Wang is a scholar working on Critical Care and Intensive Care Medicine, Endocrine and Autonomic Systems, Neurology, Infectious Diseases and Physiology, having authored 28 papers that have together received 533 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (11 papers), COVID-19 Clinical Research Studies (9 papers), Obstructive Sleep Apnea Research (7 papers), Neuroscience of respiration and sleep (5 papers), COVID-19 and healthcare impacts (4 papers), Diabetes and associated disorders (3 papers), Intensive Care Unit Cognitive Disorders (3 papers) and Voice and Speech Disorders (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (229 citations), Physiology (325 citations), Speech and Hearing (53 citations), Neurology (83 citations) and Pulmonary and Respiratory Medicine (132 citations). Stephen Wang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Brendan T Keenan, Richard J. Schwab, Timothy Q. Duong, Drew A. Torigian, Allan I Pack, Andrew Wiemken, Bethany Staley, David B. Sarwer, Noel N. Williams and Yinyin Zang. Their work appears in journals such as Scientific Reports, American Journal of Respiratory and Critical Care Medicine, Diabetes Obesity and Metabolism, Multiple Sclerosis and Related Disorders and Cancer Research.
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.