Stephen Wang

28 papers receiving 526 citations

Peers

Stephen Wang
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 229
  • Physiology 325
  • Speech and Hearing 53
  • Neurology 83
  • Pulmonary and Respiratory Medicine 132
Replace Y.-L. Lo with:
Y.-L. Lo Taiwan
Chris D. Turnbull United Kingdom
Dimosthenis Lykouras Greece
Sibylle Brosch Germany
Hong Peng Li China
Federico Sireci Italy
Adriana Salvaggio Italy
Varghese Abraham United States
Sunil P. Verma United States
Marie Parent Canada
Stephen Wang relative to Y.-L. Lo Taiwan Y.-L. Lo's profile →
Citations per field
00.5×10×15×19.5×
Y.-L. Lo · 1×
Citations per year

Countries citing papers authored by Stephen Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Stephen Wang Line = papers co-authored together Stephen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020123
2 201572
3 201840
4 201738
5 201730
6 202328
7 201826
8 202224
9
Enhancing Brand Credibility via Celebrity Endorsement: Trustworthiness Trumps Attractiveness and Expertise
201821
10 201620
11 202318
12 202416
13 202411
14 20249
15 19919
16 20258
17 20248
18 20256
19 20255
20 20245

About Stephen Wang

Stephen Wang is a scholar working on Neurology, Infectious Diseases, Physiology, Endocrine and Autonomic Systems and Critical Care and Intensive Care Medicine, 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), Intensive Care Unit Cognitive Disorders (3 papers), Voice and Speech Disorders (3 papers) and Diabetes and associated 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 Taiwan. 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, Yinyin Zang and Noel N. Williams. 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.

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