Huaping Dai
- Internal Medicine top 2%
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 91
- Pulmonary Hypertension Research and Treatments 25
- Medical Imaging and Pathology Studies 24
- Chronic Obstructive Pulmonary Disease (COPD) Research 19
- Occupational and environmental lung diseases 16
- Neonatal Respiratory Health Research 14
- Pleural and Pulmonary Diseases 10
- Physiology top 5%
- Sarcoidosis and Beryllium Toxicity Research 18
Huaping Dai
137 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 117
- Internal Medicine 187
- Pulmonary and Respiratory Medicine 1.4k
- Physiology 376
- Critical Care and Intensive Care Medicine 52
- Cancer Research 150
Countries citing papers authored by Huaping Dai
This map shows the geographic impact of Huaping Dai'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 Huaping Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaping Dai more than expected).
Fields of papers citing papers by Huaping Dai
This network shows the impact of papers produced by Huaping Dai. 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 Huaping Dai. The network helps show where Huaping Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huaping Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 53 | |
| 12 | 2017 | 25 | |
| 13 | 2016 | 49 | |
| 14 | 2014 | 6 | |
| 15 | 2014 | 24 | |
| 16 | 2014 | 2 | |
| 17 | 2014 | 1 | |
| 18 | 2011 | 1 | |
| 19 | [A questionnaire survey on the current practices of respiratory care in intensive care unit in 30 provinces]. | 2009 | 6 |
| 20 | 2009 | 0 |
About Huaping Dai
Huaping Dai is a scholar working on Pulmonary and Respiratory Medicine, Internal Medicine, Physiology, Critical Care and Intensive Care Medicine and Genetics, having authored 144 papers that have together received 2.4k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (91 papers), Pulmonary Hypertension Research and Treatments (25 papers), Medical Imaging and Pathology Studies (24 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (19 papers), Sarcoidosis and Beryllium Toxicity Research (18 papers), Occupational and environmental lung diseases (16 papers), Neonatal Respiratory Health Research (14 papers) and Pleural and Pulmonary Diseases (10 papers). The work is most often cited by research in Internal Medicine (187 citations), Pulmonary and Respiratory Medicine (1.4k citations), Physiology (376 citations), Critical Care and Intensive Care Medicine (52 citations) and Cancer Research (150 citations). Huaping Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chen Wang, Xuefeng Xu, Ulrich Costabel, Dingyuan Jiang, Jing Geng, Chen Wang, Josune Guzman, Xiaoxi Huang, Dianhua Jiang and Huijuan Xiao. Their work appears in journals such as Experimental Biology and Medicine, CHEST Journal, Frontiers in Pharmacology, Frontiers in Medicine and Frontiers in Immunology.
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.