Daniel R. Chang
Impact in
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- Neonatal Respiratory Health Research
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- Meta-analysis and systematic reviews
Papers in
- Surgery 6
- Surgical Simulation and Training 3
- Head and Neck Surgical Oncology 2
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- Neonatal Respiratory Health Research 2
- Co-authors
- Haruhiko Akiyama (2 shared papers)Jichao Chen (2 shared papers)Hong Ji (1 shared paper)Pierre D. McCrea (1 shared paper)Rachel K. Miller (1 shared paper)Mark A. Krasnow (1 shared paper)Philip G. Chen (4 shared papers)Kevin C. McMains (4 shared papers)
- Journals
- Pain (2 papers)The Laryngoscope (2 papers)Journal of Clinical Anesthesia (2 papers)Neurosurgical FOCUS (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesNorwayCanada
In The Last Decade
Daniel R. Chang
10 papers receiving 389 citations
Peers
Comparison fields: 5 of 72
- Pulmonary and Respiratory Medicine 166
- Statistics, Probability and Uncertainty 33
- Surgery 205
- Otorhinolaryngology 16
- Anesthesiology and Pain Medicine 20
Countries citing papers authored by Daniel R. Chang
This map shows the geographic impact of Daniel R. Chang'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 Daniel R. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Chang more than expected).
Fields of papers citing papers by Daniel R. Chang
This network shows the impact of papers produced by Daniel R. Chang. 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 Daniel R. Chang. The network helps show where Daniel R. Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel R. Chang, 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 | 2013 | 127 | |
| 2 | 2014 | 81 | |
| 3 | 2012 | 46 | |
| 4 | 2015 | 44 | |
| 5 | 2016 | 42 | |
| 6 | 2013 | 24 | |
| 7 | 2016 | 15 | |
| 8 | 2018 | 11 | |
| 9 | 2019 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2016 | 0 |
About Daniel R. Chang
Daniel R. Chang is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Otorhinolaryngology and Anesthesiology and Pain Medicine, having authored 12 papers that have together received 392 indexed citations. Recurring topics across this work include Surgical Simulation and Training (3 papers), Airway Management and Intubation Techniques (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Neonatal Respiratory Health Research (2 papers), Digital Imaging in Medicine (2 papers), Sinusitis and nasal conditions (2 papers), Head and Neck Surgical Oncology (2 papers) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (166 citations), Statistics, Probability and Uncertainty (33 citations), Surgery (205 citations), Otorhinolaryngology (16 citations) and Anesthesiology and Pain Medicine (20 citations). Daniel R. Chang has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Haruhiko Akiyama, Jichao Chen, Hong Ji, Pierre D. McCrea, Rachel K. Miller, Mark A. Krasnow, Philip G. Chen, Kevin C. McMains, Erik K Weitzel and Sarah N. Bowe. Their work appears in journals such as Pain, The Laryngoscope, Journal of Clinical Anesthesia, Neurosurgical FOCUS and Nature Communications.
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.