Daoxin Wang
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
-
- Respiratory Support and Mechanisms
- Neonatal Respiratory Health Research
Papers in
-
- Respiratory Support and Mechanisms 15
- Neonatal Respiratory Health Research 10
- Chronic Obstructive Pulmonary Disease (COPD) Research 7
- Co-authors
- Di Qi (25 shared papers)Wang Deng (27 shared papers)Jing He (15 shared papers)Xinyu Deng (8 shared papers)Xumao Tang (11 shared papers)Changyi Li (7 shared papers)Longhua Feng (4 shared papers)Wen Li (2 shared papers)
- Journals
- Respiratory Research (5 papers)Frontiers in Medicine (4 papers)Shock (4 papers)International Journal of COPD (3 papers)Clinical Science (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Daoxin Wang
90 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 124
- Infectious Diseases 259
- Pulmonary and Respiratory Medicine 347
- Critical Care and Intensive Care Medicine 40
- Immunology 172
- Cancer Research 112
Countries citing papers authored by Daoxin Wang
This map shows the geographic impact of Daoxin 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 Daoxin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoxin Wang more than expected).
Fields of papers citing papers by Daoxin Wang
This network shows the impact of papers produced by Daoxin 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 Daoxin Wang. The network helps show where Daoxin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoxin 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 141 | |
| 2 | 2020 | 84 | |
| 3 | 2020 | 75 | |
| 4 | 2016 | 73 | |
| 5 | 2020 | 68 | |
| 6 | 2012 | 65 | |
| 7 | 2021 | 59 | |
| 8 | 2014 | 57 | |
| 9 | 2018 | 55 | |
| 10 | 2020 | 55 | |
| 11 | 2022 | 52 | |
| 12 | 2021 | 49 | |
| 13 | 2017 | 43 | |
| 14 | 2018 | 40 | |
| 15 | 2012 | 36 | |
| 16 | 2013 | 35 | |
| 17 | 2012 | 32 | |
| 18 | 2013 | 32 | |
| 19 | 2019 | 31 | |
| 20 | 2003 | 29 |
About Daoxin Wang
Daoxin Wang is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Critical Care and Intensive Care Medicine, Molecular Biology and Epidemiology, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (15 papers), Ion Transport and Channel Regulation (12 papers), Neonatal Respiratory Health Research (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Ion channel regulation and function (6 papers), Sepsis Diagnosis and Treatment (4 papers), COVID-19 Clinical Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Infectious Diseases (259 citations), Pulmonary and Respiratory Medicine (347 citations), Critical Care and Intensive Care Medicine (40 citations), Immunology (172 citations) and Cancer Research (112 citations). Daoxin Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Di Qi, Wang Deng, Jing He, Xinyu Deng, Xumao Tang, Changyi Li, Longhua Feng, Wen Li, Qian Yu and Yan Zhao. Their work appears in journals such as Respiratory Research, Frontiers in Medicine, Shock, International Journal of COPD and Clinical Science.
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.