Stephen Chan
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Surgery top 10%
- Tissue Engineering and Regenerative Medicine
- Shoulder Injury and Treatment
- Infectious Aortic and Vascular Conditions
Papers in
- Surgery 5
- Tissue Engineering and Regenerative Medicine 2
- Shoulder Injury and Treatment 2
- Xenotransplantation and immune response 1
- Facial Trauma and Fracture Management 1
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- Hearing Loss and Rehabilitation 2
- Co-authors
- Christopher K. Breuer (2 shared papers)Liqiong Gui (2 shared papers)Laura E. Niklason (2 shared papers)Akihito Muto (1 shared paper)Matthew L. Bush (2 shared papers)Brian Hixon (2 shared papers)Jennifer B. Shinn (2 shared papers)Brian R. Waterman (2 shared papers)
- Journals
- The Laryngoscope (2 papers)Otology & Neurotology (1 paper)Tissue Engineering Part C Methods (1 paper)Arthroscopy Sports Medicine and Rehabilitation (1 paper)Tissue Engineering Part A (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen Chan
7 papers receiving 457 citations
Peers
Comparison fields: 5 of 54
- Biomaterials 226
- Surgery 317
- Speech and Hearing 27
- Cognitive Neuroscience 73
- Sensory Systems 14
Countries citing papers authored by Stephen Chan
This map shows the geographic impact of Stephen Chan'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 Stephen Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Chan more than expected).
Fields of papers citing papers by Stephen Chan
This network shows the impact of papers produced by Stephen Chan. 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 Stephen Chan. The network helps show where Stephen Chan may publish in the future.
Co-authors
The 13 scholars most cited alongside Stephen Chan, 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 | 2009 | 207 | |
| 2 | 2009 | 80 | |
| 3 | 2017 | 58 | |
| 4 | 2016 | 55 | |
| 5 | 2019 | 34 | |
| 6 | 2020 | 18 | |
| 7 | 2017 | 10 |
About Stephen Chan
Stephen Chan is a scholar working on Surgery, Cognitive Neuroscience, Biomaterials, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 462 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Shoulder Injury and Treatment (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Xenotransplantation and immune response (1 paper) and Facial Trauma and Fracture Management (1 paper). The work is most often cited by research in Biomaterials (226 citations), Surgery (317 citations), Speech and Hearing (27 citations), Cognitive Neuroscience (73 citations) and Sensory Systems (14 citations). Stephen Chan has collaborated with scholars based in United States. Frequent co-authors include Christopher K. Breuer, Liqiong Gui, Laura E. Niklason, Akihito Muto, Matthew L. Bush, Brian Hixon, Jennifer B. Shinn, Brian R. Waterman, Kelly G. Kilcoyne and Andrew G. Chan. Their work appears in journals such as The Laryngoscope, Otology & Neurotology, Tissue Engineering Part C Methods, Arthroscopy Sports Medicine and Rehabilitation and Tissue Engineering Part A.
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.