W. Chia
Impact in
- Aging top 5%
- Hematology top 5%
- Iron Metabolism and Disorders
Papers in
-
- Developmental Biology and Gene Regulation 8
- RNA Research and Splicing 4
- Cancer-related gene regulation 3
- Protein Structure and Dynamics 2
- Genetics 5
- Virus-based gene therapy research 2
- Co-authors
- Verônica Rodrigues (4 shared papers)Xiaohang Yang (6 shared papers)B. Murugasu-Oei (2 shared papers)Peh Yean Cheah (3 shared papers)Mathieu Cellier (1 shared paper)Tony Kwan (1 shared paper)Philippe Gros (1 shared paper)Abdelmajid Belouchi (1 shared paper)
- Journals
- Genes & Development (5 papers)Journal of Molecular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Experimental Biology (1 paper)Biochemical Journal (1 paper)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
W. Chia
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Aging 53
- Hematology 164
- Nutrition and Dietetics 222
- Cellular and Molecular Neuroscience 240
- Molecular Biology 833
Countries citing papers authored by W. Chia
This map shows the geographic impact of W. 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 W. Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Chia more than expected).
Fields of papers citing papers by W. Chia
This network shows the impact of papers produced by W. 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 W. Chia. The network helps show where W. Chia may publish in the future.
Co-authors
The 25 scholars most cited alongside W. 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 282 | |
| 2 | 1998 | 130 | |
| 3 | 1995 | 120 | |
| 4 | 1995 | 92 | |
| 5 | 1995 | 87 | |
| 6 | 1985 | 73 | |
| 7 | 1993 | 66 | |
| 8 | 1988 | 57 | |
| 9 | 1981 | 54 | |
| 10 | 1991 | 51 | |
| 11 | 1992 | 50 | |
| 12 | 2005 | 44 | |
| 13 | 1985 | 42 | |
| 14 | 1997 | 41 | |
| 15 | 1999 | 30 | |
| 16 | 1996 | 29 | |
| 17 | 1993 | 29 | |
| 18 | 1994 | 28 | |
| 19 | 1982 | 23 | |
| 20 | 1991 | 21 |
About W. Chia
W. Chia is a scholar working on Molecular Biology, Genetics, Immunology, Plant Science and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Invertebrate Immune Response Mechanisms (4 papers), RNA Research and Splicing (4 papers), Chromosomal and Genetic Variations (3 papers), Neurobiology and Insect Physiology Research (3 papers), Cancer-related gene regulation (3 papers), Virus-based gene therapy research (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Aging (53 citations), Hematology (164 citations), Nutrition and Dietetics (222 citations), Cellular and Molecular Neuroscience (240 citations) and Molecular Biology (833 citations). W. Chia has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Verônica Rodrigues, Xiaohang Yang, B. Murugasu-Oei, Peh Yean Cheah, Mathieu Cellier, Tony Kwan, Philippe Gros, Abdelmajid Belouchi, Gilbert G. Privé and Thomas Dick. Their work appears in journals such as Genes & Development, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Journal of Experimental Biology and Biochemical Journal.
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.