Chia‐Ling Wu
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- Muscle Physiology and Disorders 9
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Ed Harlow (1 shared paper)Li Su (1 shared paper)G H Enders (1 shared paper)Li‐Huei Tsai (1 shared paper)Matthew Meyerson (1 shared paper)Claude Gorka (1 shared paper)Susan C. Kandarian (8 shared papers)Kristian Helin (1 shared paper)
- Journals
- Laboratory Investigation (3 papers)PLoS ONE (3 papers)Research in Developmental Disabilities (3 papers)Journal of Pediatric Surgery (2 papers)British Journal of Pharmacology (2 papers)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Chia‐Ling Wu
64 papers receiving 2.4k citations
Chia‐Ling Wu's Hit Papers
Peers
Comparison fields: 5 of 126
- Oncology 800
- Cell Biology 413
- Molecular Biology 1.4k
- Developmental Neuroscience 47
- Hepatology 85
Countries citing papers authored by Chia‐Ling Wu
This map shows the geographic impact of Chia‐Ling Wu'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 Chia‐Ling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Ling Wu more than expected).
Fields of papers citing papers by Chia‐Ling Wu
This network shows the impact of papers produced by Chia‐Ling Wu. 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 Chia‐Ling Wu. The network helps show where Chia‐Ling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Ling Wu, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A family of human cdc2‐related protein kinases. Hit paper breakdown → | 1992 | 791 |
| 2 | 1993 | 444 | |
| 3 | 2014 | 86 | |
| 4 | 2011 | 68 | |
| 5 | 1991 | 67 | |
| 6 | 2012 | 65 | |
| 7 | 2021 | 48 | |
| 8 | 2005 | 47 | |
| 9 | 2018 | 46 | |
| 10 | 2014 | 46 | |
| 11 | 2006 | 44 | |
| 12 | 2010 | 40 | |
| 13 | 2012 | 38 | |
| 14 | 2012 | 37 | |
| 15 | 2011 | 34 | |
| 16 | 2006 | 31 | |
| 17 | 2017 | 31 | |
| 18 | 2011 | 31 | |
| 19 | 2021 | 28 | |
| 20 | 2009 | 27 |
About Chia‐Ling Wu
Chia‐Ling Wu is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Surgery and Cardiology and Cardiovascular Medicine, having authored 66 papers that have together received 2.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Liver physiology and pathology (4 papers), Down syndrome and intellectual disability research (4 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers), Mosquito-borne diseases and control (4 papers), Viral Infections and Immunology Research (4 papers), Immune Response and Inflammation (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (800 citations), Cell Biology (413 citations), Molecular Biology (1.4k citations), Developmental Neuroscience (47 citations) and Hepatology (85 citations). Chia‐Ling Wu has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Ed Harlow, Li Su, G H Enders, Li‐Huei Tsai, Matthew Meyerson, Claude Gorka, Susan C. Kandarian, Kristian Helin, E Harlow and Brian David Dynlacht. Their work appears in journals such as Laboratory Investigation, PLoS ONE, Research in Developmental Disabilities, Journal of Pediatric Surgery and British Journal of Pharmacology.
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.