YS Chan
Impact in
- Sensory Systems top 0.5%
- Hearing, Cochlea, Tinnitus, Genetics
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in ⓘ
-
- Hearing, Cochlea, Tinnitus, Genetics 38
- Neurology 66
- Vestibular and auditory disorders 55
- Co-authors
- Daisy Kwok‐Yan Shum (57 shared papers)Ken Kin Lam Yung (40 shared papers)Geoffrey L. Smith (3 shared papers)Wing‐Ho Yung (21 shared papers)Susan T. Howard (2 shared papers)Jufang He (16 shared papers)Liang-Wei Chen (6 shared papers)Bkc Chow (6 shared papers)
- Journals
- Brain Research (18 papers)Neuroscience (14 papers)The Journal of Comparative Neurology (9 papers)Neurosignals (7 papers)Journal of Biomedical Science (7 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
YS Chan
210 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 149
- Sensory Systems 598
- Developmental Neuroscience 507
- Neurology 904
- Cellular and Molecular Neuroscience 1.8k
- Endocrine and Autonomic Systems 472
Countries citing papers authored by YS Chan
This map shows the geographic impact of YS 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 YS Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites YS Chan more than expected).
Fields of papers citing papers by YS Chan
This network shows the impact of papers produced by YS 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 YS Chan. The network helps show where YS Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside YS 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
Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 171 | |
| 2 | 2003 | 158 | |
| 3 | 2010 | 152 | |
| 4 | 1991 | 144 | |
| 5 | 2007 | 127 | |
| 6 | 1989 | 119 | |
| 7 | 2002 | 116 | |
| 8 | 1991 | 100 | |
| 9 | 2020 | 97 | |
| 10 | 2006 | 90 | |
| 11 | 2010 | 83 | |
| 12 | 2008 | 82 | |
| 13 | 2022 | 81 | |
| 14 | 2017 | 70 | |
| 15 | 2009 | 67 | |
| 16 | 2004 | 66 | |
| 17 | 2017 | 63 | |
| 18 | 2011 | 63 | |
| 19 | 2018 | 59 | |
| 20 | 2005 | 52 |
About YS Chan
YS Chan is a scholar working on Sensory Systems, Neurology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 225 papers that have together received 4.6k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (55 papers), Neuroscience and Neuropharmacology Research (40 papers), Hearing, Cochlea, Tinnitus, Genetics (38 papers), Nerve injury and regeneration (31 papers), Neurogenesis and neuroplasticity mechanisms (28 papers), Neural dynamics and brain function (22 papers), Neuropeptides and Animal Physiology (21 papers) and Neuroscience of respiration and sleep (21 papers). The work is most often cited by research in Sensory Systems (598 citations), Developmental Neuroscience (507 citations), Neurology (904 citations), Cellular and Molecular Neuroscience (1.8k citations) and Endocrine and Autonomic Systems (472 citations). YS Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Daisy Kwok‐Yan Shum, Ken Kin Lam Yung, Geoffrey L. Smith, Wing‐Ho Yung, Susan T. Howard, Jufang He, Liang-Wei Chen, Bkc Chow, Tak Man Wong and Yan‐Qin Yu. Their work appears in journals such as Brain Research, Neuroscience, The Journal of Comparative Neurology, Neurosignals and Journal of Biomedical Science.
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.