Wayne Gao

27 papers receiving 1.8k citations

Wayne Gao's Hit Papers

Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015 2017 · 1.5k citations
1.5k0+3+6Years since publication4008001.2k

Peers

Wayne Gao
Comparison fields: 5 of 126
  • Physiology 652
  • Otorhinolaryngology 42
  • Applied Psychology 49
  • Speech and Hearing 63
  • Organizational Behavior and Human Resource Management 103
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Vin Gupta United States
Balem Dimtsu Ethiopia
Shelley Wilson United States
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Derrick Bary Abila Uganda
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Countries citing papers authored by Wayne Gao

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015
Hit paper breakdown →
20171457
2 2022107
3 202448
4 201924
5 201822
6 202122
7 202021
8 201815
9 202111
10 201911
11 202011
12 20219
13 20227
14 20236
15 20256
16 20226
17 20236
18 20234
19 20214
20 20224

About Wayne Gao

Wayne Gao is a scholar working on Physiology, Modeling and Simulation, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Health, Toxicology and Mutagenesis, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Smoking Behavior and Cessation (5 papers), COVID-19 epidemiological studies (3 papers), Air Quality and Health Impacts (3 papers), Head and Neck Cancer Studies (2 papers), Global Cancer Incidence and Screening (2 papers), Obesity, Physical Activity, Diet (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Physiology (652 citations), Otorhinolaryngology (42 citations), Applied Psychology (49 citations), Speech and Hearing (63 citations) and Organizational Behavior and Human Resource Management (103 citations). Wayne Gao has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chi Pang Wen, H. Gilbert Welch, Allison J. Wu, Mattia Sanna, Min‐Kuang Tsai, Yea‐Hung Chen, Hung‐Yi Chiou, Yi‐Hua Chen, Min Kuang Tsai and Chih‐Cheng Hsu. Their work appears in journals such as Tobacco Control, Tobacco Induced Diseases, JAMA Internal Medicine, International Journal of Epidemiology and Journal of the American Heart Association.

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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