Irene A. Chang
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 10%
- Endocrine and Autonomic Systems top 10%
- Surgery
- Experimental and Cognitive Psychology
- Co-authors
- Marisa CarrascoDenise L. EvertMachiko ShirahataRobert S. FitzgeraldEric W. KostukMichael WellsJames GatherwrightDavid X. Zheng
- Topics
- Neuroscience of respiration and sleep (5 papers)Nasal Surgery and Airway Studies (5 papers)Reconstructive Surgery and Microvascular Techniques (4 papers)
- Journals
- Brain ResearchJournal of the American Academy of DermatologyPlastic & Reconstructive Surgery
- Partner nations
- United StatesCyprusUnited Kingdom
In The Last Decade
Irene A. Chang
27 papers receiving 457 citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 306
- Computer Vision and Pattern Recognition 77
- Endocrine and Autonomic Systems 55
- Surgery 55
- Experimental and Cognitive Psychology 54
Countries citing papers authored by Irene A. Chang
This map shows the geographic impact of Irene A. 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 Irene A. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene A. Chang more than expected).
Fields of papers citing papers by Irene A. Chang
This network shows the impact of papers produced by Irene A. 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 Irene A. Chang. The network helps show where Irene A. Chang may publish in the future.
Co-authorship network of co-authors of Irene A. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Irene A. Chang. A scholar is included among the top collaborators of Irene A. 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 Irene A. Chang. Irene A. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 39 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 7 | |
| 19 | 43 | |
| 20 | 271 |
About Irene A. Chang
Irene A. Chang is a scholar working on Transplantation, Endocrine and Autonomic Systems and Sensory Systems, having authored 32 papers that have together received 476 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (5 papers), Nasal Surgery and Airway Studies (5 papers) and Reconstructive Surgery and Microvascular Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (306 citations), Endocrine and Autonomic Systems (55 citations) and Human-Computer Interaction (26 citations). Irene A. Chang has collaborated with scholars based in United States, Cyprus and United Kingdom. Frequent co-authors include Marisa Carrasco, Denise L. Evert, Machiko Shirahata, Robert S. Fitzgerald, Eric W. Kostuk, Michael Wells, James Gatherwright, David X. Zheng, David H. Sachs and Alexandre G. Lellouch. Their work appears in journals such as Brain Research, Journal of the American Academy of Dermatology and Plastic & Reconstructive Surgery.
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.