William Chia
Impact in
- Aging top 0.5%
- Cell Biology top 0.2%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
Papers in
-
- Developmental Biology and Gene Regulation 46
- Genomics and Chromatin Dynamics 10
- Cell Biology 33
- Hippo pathway signaling and YAP/TAZ 14
- Microtubule and mitosis dynamics 13
- Co-authors
- Xiaohang Yang (23 shared papers)Xavier Morin (5 shared papers)Fengwei Yu (13 shared papers)Michael Zavortink (3 shared papers)Yu Cai (11 shared papers)Richard Daneman (1 shared paper)Hongyan Wang (7 shared papers)Tony Atkinson (14 shared papers)
- Journals
- Development (8 papers)Journal of Cell Science (7 papers)Developmental Biology (6 papers)Genes & Development (5 papers)Cell (4 papers)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
William Chia
94 papers receiving 6.1k citations
William Chia's Hit Papers
Peers
Comparison fields: 5 of 130
- Aging 382
- Cell Biology 2.4k
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 4.8k
- Developmental Neuroscience 228
Countries citing papers authored by William Chia
This map shows the geographic impact of William Chia'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 William Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Chia more than expected).
Fields of papers citing papers by William Chia
This network shows the impact of papers produced by William Chia. 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 William Chia. The network helps show where William Chia may publish in the future.
Co-authors
The 25 scholars most cited alongside William Chia, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A protein trap strategy to detect GFP-tagged proteins expressed from their endogenous loci in Drosophila Hit paper breakdown → | 2001 | 656 |
| 2 | 1996 | 325 | |
| 3 | 2000 | 309 | |
| 4 | 1988 | 234 | |
| 5 | 2006 | 214 | |
| 6 | 1997 | 184 | |
| 7 | 1991 | 162 | |
| 8 | 1995 | 157 | |
| 9 | 1986 | 156 | |
| 10 | 2007 | 147 | |
| 11 | 2005 | 146 | |
| 12 | 1996 | 138 | |
| 13 | 2008 | 124 | |
| 14 | 2008 | 119 | |
| 15 | 2003 | 117 | |
| 16 | 1999 | 113 | |
| 17 | 2002 | 113 | |
| 18 | 2005 | 107 | |
| 19 | 2003 | 106 | |
| 20 | 2000 | 104 |
About William Chia
William Chia is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Plant Science and Materials Chemistry, having authored 94 papers that have together received 6.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (46 papers), Neurobiology and Insect Physiology Research (23 papers), Hippo pathway signaling and YAP/TAZ (14 papers), Microtubule and mitosis dynamics (13 papers), Enzyme Structure and Function (12 papers), Plant Molecular Biology Research (11 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and Genomics and Chromatin Dynamics (10 papers). The work is most often cited by research in Aging (382 citations), Cell Biology (2.4k citations), Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (4.8k citations) and Developmental Neuroscience (228 citations). William Chia has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Xiaohang Yang, Xavier Morin, Fengwei Yu, Michael Zavortink, Yu Cai, Richard Daneman, Hongyan Wang, Tony Atkinson, J. John Holbrook and Anthony R. Clarke. Their work appears in journals such as Development, Journal of Cell Science, Developmental Biology, Genes & Development and Cell.
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.