Hwan‐Ching Tai
- Physiology top 2%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 2%
- Cell Biology top 5%
- Co-authors
- Erin M. SchumanBradley T. HymanAlberto Serrano‐PozoTara L. Spires‐JonesMatthew P. FroschTadafumi HashimotoKatherine J. KopeikinaYu‐Ju Chen
- Topics
- Alzheimer's disease research and treatments (12 papers)Neuroscience and Neuropharmacology Research (7 papers)Cultural Heritage Materials Analysis (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Hwan‐Ching Tai
38 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 135
- Physiology 1.1k
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 573
- Neurology 365
- Cell Biology 288
Countries citing papers authored by Hwan‐Ching Tai
This map shows the geographic impact of Hwan‐Ching Tai'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 Hwan‐Ching Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwan‐Ching Tai more than expected).
Fields of papers citing papers by Hwan‐Ching Tai
This network shows the impact of papers produced by Hwan‐Ching Tai. 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 Hwan‐Ching Tai. The network helps show where Hwan‐Ching Tai may publish in the future.
Co-authorship network of co-authors of Hwan‐Ching Tai
This figure shows the co-authorship network connecting the top 25 collaborators of Hwan‐Ching Tai. A scholar is included among the top collaborators of Hwan‐Ching Tai 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 Hwan‐Ching Tai. Hwan‐Ching Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 25 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 26 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 21 | |
| 10 | 7 | |
| 11 | 108 | |
| 12 | 284 | |
| 13 | 108 | |
| 14 | 253 | |
| 15 | 95 | |
| 16 | Stradivari Violins Exhibit Formant Frequencies Resembling Vowels Produced by Females | 7 |
| 17 | 124 | |
| 18 | 394 | |
| 19 | 23 | |
| 20 | 58 |
About Hwan‐Ching Tai
Hwan‐Ching Tai is a scholar working on Structural Biology, Music and Archeology, having authored 41 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Neuroscience and Neuropharmacology Research (7 papers) and Cultural Heritage Materials Analysis (6 papers). The work is most often cited by research in Neurology (365 citations), Physiology (1.1k citations) and Biological Psychiatry (86 citations). Hwan‐Ching Tai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Erin M. Schuman, Bradley T. Hyman, Alberto Serrano‐Pozo, Tara L. Spires‐Jones, Matthew P. Frosch, Tadafumi Hashimoto, Katherine J. Kopeikina, Yu‐Ju Chen, Jason Wu and Anne Marion Taylor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.