Ya‐Hui Chi
Impact in
- Virology top 5%
- HIV Research and Treatment
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- Nuclear Structure and Function 14
- RNA Research and Splicing 13
- Fibroblast Growth Factor Research 7
- RNA regulation and disease 5
- Genomics and Chromatin Dynamics 5
- Cell Biology 13
- Microtubule and mitosis dynamics 9
- Co-authors
- Kuan‐Teh Jeang (13 shared papers)Venkat S. R. K. Yedavalli (1 shared paper)Christine Neuveut (1 shared paper)Lawrence Kleiman (1 shared paper)Kerstin Haller (4 shared papers)Jean‐Marie Péloponèse (4 shared papers)David D. Kitts (3 shared papers)Po‐Huang Liang (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Scientific Reports (3 papers)PLoS ONE (3 papers)Biochemical and Biophysical Research Communications (2 papers)Stem Cells and Development (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Ya‐Hui Chi
61 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Virology 153
- Cell Biology 407
- Molecular Biology 1.5k
- Infectious Diseases 229
- Aging 14
Countries citing papers authored by Ya‐Hui Chi
This map shows the geographic impact of Ya‐Hui Chi'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 Ya‐Hui Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Hui Chi more than expected).
Fields of papers citing papers by Ya‐Hui Chi
This network shows the impact of papers produced by Ya‐Hui Chi. 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 Ya‐Hui Chi. The network helps show where Ya‐Hui Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Hui Chi, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 457 | |
| 2 | 2012 | 176 | |
| 3 | 2007 | 146 | |
| 4 | 2004 | 140 | |
| 5 | 2000 | 100 | |
| 6 | 2007 | 95 | |
| 7 | 2002 | 65 | |
| 8 | 2009 | 64 | |
| 9 | 2014 | 58 | |
| 10 | 2007 | 51 | |
| 11 | 2009 | 41 | |
| 12 | 2013 | 38 | |
| 13 | 2008 | 33 | |
| 14 | 2003 | 32 | |
| 15 | 2016 | 32 | |
| 16 | 2015 | 29 | |
| 17 | 2002 | 25 | |
| 18 | 2002 | 25 | |
| 19 | 2002 | 24 | |
| 20 | 2000 | 22 |
About Ya‐Hui Chi
Ya‐Hui Chi is a scholar working on Molecular Biology, Cell Biology, Immunology, Infectious Diseases and Oncology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nuclear Structure and Function (14 papers), RNA Research and Splicing (13 papers), Microtubule and mitosis dynamics (9 papers), Fibroblast Growth Factor Research (7 papers), RNA regulation and disease (5 papers), Genomics and Chromatin Dynamics (5 papers), interferon and immune responses (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Virology (153 citations), Cell Biology (407 citations), Molecular Biology (1.5k citations), Infectious Diseases (229 citations) and Aging (14 citations). Ya‐Hui Chi has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Kuan‐Teh Jeang, Venkat S. R. K. Yedavalli, Christine Neuveut, Lawrence Kleiman, Kerstin Haller, Jean‐Marie Péloponèse, David D. Kitts, Po‐Huang Liang, John Hsu and Chih‐Jung Kuo. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, PLoS ONE, Biochemical and Biophysical Research Communications and Stem Cells and Development.
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.