Guangfa Wang
Impact in
-
- Intensive Care Unit Cognitive Disorders
Papers in
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- Chronic Obstructive Pulmonary Disease (COPD) Research 10
- Pleural and Pulmonary Diseases 6
- Tracheal and airway disorders 6
- Co-authors
- Xincun Dou (13 shared papers)Jiajie Zhang (18 shared papers)Shaoyu Wu (10 shared papers)Jing Ma (26 shared papers)Zhenzhen Cai (6 shared papers)Jinjun Rao (6 shared papers)Shuguang Wu (5 shared papers)Jiping Liao (17 shared papers)
- Journals
- Respiration (7 papers)BMC Pulmonary Medicine (5 papers)CHEST Journal (5 papers)European Journal of Medicinal Chemistry (4 papers)Phytotherapy Research (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Guangfa Wang
176 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 148
- Critical Care and Intensive Care Medicine 94
- Complementary and alternative medicine 116
- Physiology 350
- Pulmonary and Respiratory Medicine 350
- Endocrine and Autonomic Systems 73
Countries citing papers authored by Guangfa Wang
This map shows the geographic impact of Guangfa 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 Guangfa Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangfa Wang more than expected).
Fields of papers citing papers by Guangfa Wang
This network shows the impact of papers produced by Guangfa 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 Guangfa Wang. The network helps show where Guangfa Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangfa 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
Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 155 | |
| 2 | 2009 | 151 | |
| 3 | 2020 | 84 | |
| 4 | 2017 | 80 | |
| 5 | 2009 | 79 | |
| 6 | 2019 | 77 | |
| 7 | 2022 | 76 | |
| 8 | 2018 | 65 | |
| 9 | 2009 | 63 | |
| 10 | 2022 | 60 | |
| 11 | 2011 | 58 | |
| 12 | 2010 | 47 | |
| 13 | 2009 | 46 | |
| 14 | 2016 | 44 | |
| 15 | 2007 | 43 | |
| 16 | 2010 | 42 | |
| 17 | 2018 | 41 | |
| 18 | 2010 | 40 | |
| 19 | 2019 | 39 | |
| 20 | 2016 | 38 |
About Guangfa Wang
Guangfa Wang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Physiology, Oncology and Materials Chemistry, having authored 186 papers that have together received 2.7k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (17 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers), Molecular Sensors and Ion Detection (9 papers), Luminescence and Fluorescent Materials (9 papers), Neuroscience of respiration and sleep (6 papers), Traditional Chinese Medicine Analysis (6 papers), Pleural and Pulmonary Diseases (6 papers) and Tracheal and airway disorders (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (94 citations), Complementary and alternative medicine (116 citations), Physiology (350 citations), Pulmonary and Respiratory Medicine (350 citations) and Endocrine and Autonomic Systems (73 citations). Guangfa Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xincun Dou, Jiajie Zhang, Shaoyu Wu, Jing Ma, Zhenzhen Cai, Jinjun Rao, Shuguang Wu, Jiping Liao, Da Lei and Yushu Li. Their work appears in journals such as Respiration, BMC Pulmonary Medicine, CHEST Journal, European Journal of Medicinal Chemistry and Phytotherapy 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.