Chien‐Da Huang
- Pulmonary and Respiratory Medicine top 5%
- Critical Care and Intensive Care Medicine top 0.5%
- Physiology top 5%
- Immunology top 10%
- Anesthesiology and Pain Medicine top 1%
- Co-authors
- Chun‐Hua WangHan-Pin KuoShu‐Min LinHorng-Chyuan LinChien-Ying LiuYueh‐Fu FangHan‐Pin KuoKang‐Yun Lee
- Topics
- Asthma and respiratory diseases (14 papers)Innovations in Medical Education (11 papers)Empathy and Medical Education (8 papers)
- Cited by
- Critical Care and Intensive Care MedicineAnesthesiology and Pain MedicineDevelopmental Neuroscience
- Journals
- Journal of Biological ChemistryPLoS ONEAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chien‐Da Huang
69 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 140
- Pulmonary and Respiratory Medicine 598
- Critical Care and Intensive Care Medicine 519
- Physiology 466
- Immunology 414
- Anesthesiology and Pain Medicine 337
Countries citing papers authored by Chien‐Da Huang
This map shows the geographic impact of Chien‐Da Huang'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 Chien‐Da Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Da Huang more than expected).
Fields of papers citing papers by Chien‐Da Huang
This network shows the impact of papers produced by Chien‐Da Huang. 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 Chien‐Da Huang. The network helps show where Chien‐Da Huang may publish in the future.
Co-authorship network of co-authors of Chien‐Da Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Da Huang. A scholar is included among the top collaborators of Chien‐Da Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chien‐Da Huang. Chien‐Da Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 43 | |
| 8 | 23 | |
| 9 | 8 | |
| 10 | 41 | |
| 11 | 43 | |
| 12 | 28 | |
| 13 | 134 | |
| 14 | 17 | |
| 15 | 130 | |
| 16 | 83 | |
| 17 | 4 | |
| 18 | 21 | |
| 19 | 23 | |
| 20 | 30 |
About Chien‐Da Huang
Chien‐Da Huang is a scholar working on Family Practice, Critical Care and Intensive Care Medicine and Health Information Management, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (14 papers), Innovations in Medical Education (11 papers) and Empathy and Medical Education (8 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (519 citations), Anesthesiology and Pain Medicine (337 citations) and Developmental Neuroscience (236 citations). Chien‐Da Huang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chun‐Hua Wang, Han-Pin Kuo, Shu‐Min Lin, Horng-Chyuan Lin, Chien-Ying Liu, Yueh‐Fu Fang, Han‐Pin Kuo, Kang‐Yun Lee, Kian Fan Chung and Omar Tliba. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Respiratory and Critical Care 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.