Daniel R. Chang

612 total citations
12 papers, 392 citations indexed

About

Daniel R. Chang is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daniel R. Chang has authored 12 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daniel R. Chang's work include Surgical Simulation and Training (3 papers), Head and Neck Surgical Oncology (2 papers) and Airway Management and Intubation Techniques (2 papers). Daniel R. Chang is often cited by papers focused on Surgical Simulation and Training (3 papers), Head and Neck Surgical Oncology (2 papers) and Airway Management and Intubation Techniques (2 papers). Daniel R. Chang collaborates with scholars based in United States, Norway and Canada. Daniel R. Chang's co-authors include Haruhiko Akiyama, Jichao Chen, Rachel K. Miller, Hong Ji, Pierre D. McCrea, Mark A. Krasnow, Erik K Weitzel, Philip G. Chen, Kevin C. McMains and Sarah N. Bowe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Pain.

In The Last Decade

Daniel R. Chang

10 papers receiving 389 citations

Peers

Daniel R. Chang
Chixiang Chen United States
Daniel R. Chang
Citations per year, relative to Daniel R. Chang Daniel R. Chang (= 1×) peers Chixiang Chen

Countries citing papers authored by Daniel R. Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel R. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Chang. A scholar is included among the top collaborators of Daniel R. Chang 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 Daniel R. Chang. Daniel R. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Chang, Daniel R., et al.. (2023). Single-use versus reusable metallic laryngoscopes for non-emergent intubation: A retrospective review of 72,672 intubations. Journal of Clinical Anesthesia. 89. 111187–111187.
2.
Major, Melanie R., Daniel R. Chang, Yvonne M. Rasko, et al.. (2022). Craniofacial Fellowship Applicant Perceptions of Virtual Interviews. Journal of Craniofacial Surgery. 33(8). 2379–2382. 1 indexed citations
3.
Chang, Daniel R., Ying Ye, & Christina L. Jeng. (2019). Impact of interscalene nerve block on lymphedema in a post-mastectomy patient undergoing shoulder surgery. Journal of Clinical Anesthesia. 60. 9–10. 1 indexed citations
4.
Chang, Daniel R., L. Bunegin, James K. Aden, et al.. (2018). Construct validity of a low‐cost medium‐fidelity endoscopic sinus surgery simulation model. The Laryngoscope. 129(7). 1505–1509. 11 indexed citations
5.
Chen, Philip G., Daniel R. Chang, Erik K Weitzel, et al.. (2016). The Role of Simulation in Teaching Sinus Surgery in Otolaryngology Residency: A Survey of Rhinologists. Allergy & Rhinology. 7(4). 244–248. 15 indexed citations
6.
Chang, Daniel R., Sarah N. Bowe, L. Bunegin, et al.. (2016). Fabrication and validation of a low-cost, medium-fidelity silicone injection molded endoscopic sinus surgery simulation model. The Laryngoscope. 127(4). 781–786. 42 indexed citations
7.
Weitzel, Erik K, et al.. (2016). Failure pressures after repairs of 2-cm × 2.5-cm rhinologic dural defects in a porcine ex vivo model. International Forum of Allergy & Rhinology. 6(10). 1034–1039.
8.
Arko, Leopold, Jordan W. Swanson, Rosemary E. Henn, et al.. (2015). Spring-mediated sagittal craniosynostosis treatment at the Children’s Hospital of Philadelphia: technical notes and literature review. Neurosurgical FOCUS. 38(5). E7–E7. 44 indexed citations
9.
Chang, Daniel R., et al.. (2014). Two nested developmental waves demarcate a compartment boundary in the mouse lung. Nature Communications. 5(1). 3923–3923. 81 indexed citations
10.
Chang, Daniel R., Rachel K. Miller, Hong Ji, et al.. (2013). Lung epithelial branching program antagonizes alveolar differentiation. Proceedings of the National Academy of Sciences. 110(45). 18042–18051. 127 indexed citations
11.
Smith, Shannon M., Anthony Pereira, Daniel R. Chang, et al.. (2013). Discrepancies between registered and published primary outcome specifications in analgesic trials: ACTTION systematic review and recommendations. Pain. 154(12). 2769–2774. 24 indexed citations
12.
Smith, Shannon M., Daniel R. Chang, Anthony Pereira, et al.. (2012). Adherence to CONSORT harms-reporting recommendations in publications of recent analgesic clinical trials: An ACTTION systematic review. Pain. 153(12). 2415–2421. 46 indexed citations

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.

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