Changgui Wu
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Respiratory and Cough-Related Research 9
- Chronic Obstructive Pulmonary Disease (COPD) Research 6
- Neonatal Respiratory Health Research 4
- Physiology 18
- Asthma and respiratory diseases 18
- Co-authors
- Haowen Qi (8 shared papers)Xinyu Ti (8 shared papers)Xinling Ren (3 shared papers)Hong Yin (1 shared paper)Jian Zhang (1 shared paper)Tao Zhang (1 shared paper)Shuoyao Qu (8 shared papers)Jun Zhou (1 shared paper)
- Journals
- Respirology (3 papers)Journal of Asthma (3 papers)Immunology (2 papers)Respiration (2 papers)Experimental Biology and Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Changgui Wu
49 papers receiving 877 citations
Peers
Comparison fields: 5 of 100
- Molecular Medicine 67
- Genetics 138
- Pulmonary and Respiratory Medicine 341
- Physiology 251
- Immunology and Allergy 53
Countries citing papers authored by Changgui Wu
This map shows the geographic impact of Changgui Wu'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 Changgui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changgui Wu more than expected).
Fields of papers citing papers by Changgui Wu
This network shows the impact of papers produced by Changgui Wu. 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 Changgui Wu. The network helps show where Changgui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Changgui Wu, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 125 | |
| 2 | 2008 | 107 | |
| 3 | 2007 | 83 | |
| 4 | 2011 | 51 | |
| 5 | 2008 | 46 | |
| 6 | 2013 | 34 | |
| 7 | 2012 | 33 | |
| 8 | 2008 | 30 | |
| 9 | 2013 | 30 | |
| 10 | 2013 | 30 | |
| 11 | 2014 | 28 | |
| 12 | 2021 | 28 | |
| 13 | 2022 | 22 | |
| 14 | 2014 | 17 | |
| 15 | 2014 | 17 | |
| 16 | 2017 | 16 | |
| 17 | 2008 | 16 | |
| 18 | 2013 | 13 | |
| 19 | 2009 | 12 | |
| 20 | 2017 | 11 |
About Changgui Wu
Changgui Wu is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Immunology, Molecular Biology and Genetics, having authored 50 papers that have together received 896 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (18 papers), Respiratory and Cough-Related Research (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), IL-33, ST2, and ILC Pathways (5 papers), Mesenchymal stem cell research (4 papers), Neonatal Respiratory Health Research (4 papers), Allergic Rhinitis and Sensitization (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Molecular Medicine (67 citations), Genetics (138 citations), Pulmonary and Respiratory Medicine (341 citations), Physiology (251 citations) and Immunology and Allergy (53 citations). Changgui Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haowen Qi, Xinyu Ti, Xinling Ren, Hong Yin, Jian Zhang, Tao Zhang, Shuoyao Qu, Jun Zhou, Xingbin Hu and Feiyan Zhao. Their work appears in journals such as Respirology, Journal of Asthma, Immunology, Respiration and Experimental Biology and Medicine.
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.