Catherine Chu
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Sensory Systems top 5%
- Ion Channels and Receptors
Papers in
-
- Genomics and Phylogenetic Studies 3
- RNA and protein synthesis mechanisms 3
- Surgery 3
- Lipoproteins and Cardiovascular Health 2
- Co-authors
- Pui–Yan Kwok (10 shared papers)Ludmila Pawlikowska (2 shared papers)Bruce M. Psaty (2 shared papers)Donglei Hu (1 shared paper)Ernest T. Lam (2 shared papers)Wen‐Chi Hsueh (1 shared paper)Nir Barzilai (1 shared paper)Gil Atzmon (1 shared paper)
- Journals
- Nature Methods (2 papers)GigaScience (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)Journal of Allergy and Clinical Immunology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaThailand
In The Last Decade
Catherine Chu
21 papers receiving 870 citations
Peers
Comparison fields: 5 of 96
- Aging 181
- Sensory Systems 62
- Molecular Biology 463
- Physiology 156
- Endocrine and Autonomic Systems 36
Countries citing papers authored by Catherine Chu
This map shows the geographic impact of Catherine Chu'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 Catherine Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Chu more than expected).
Fields of papers citing papers by Catherine Chu
This network shows the impact of papers produced by Catherine Chu. 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 Catherine Chu. The network helps show where Catherine Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Chu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 254 | |
| 2 | 2016 | 147 | |
| 3 | 2010 | 53 | |
| 4 | 2009 | 51 | |
| 5 | 2011 | 48 | |
| 6 | 2013 | 47 | |
| 7 | 2019 | 43 | |
| 8 | 2016 | 42 | |
| 9 | 2014 | 35 | |
| 10 | 2011 | 34 | |
| 11 | 2009 | 30 | |
| 12 | 2013 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 1997 | 18 | |
| 15 | 2021 | 13 | |
| 16 | 2007 | 12 | |
| 17 | 2020 | 9 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 3 | |
| 20 | 2024 | 1 |
About Catherine Chu
Catherine Chu is a scholar working on Molecular Biology, Surgery, Genetics, Cardiology and Cardiovascular Medicine and Sensory Systems, having authored 22 papers that have together received 883 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Ion Channels and Receptors (2 papers), Williams Syndrome Research (1 paper), Neuroscience and Neural Engineering (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Aging (181 citations), Sensory Systems (62 citations), Molecular Biology (463 citations), Physiology (156 citations) and Endocrine and Autonomic Systems (36 citations). Catherine Chu has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Pui–Yan Kwok, Ludmila Pawlikowska, Bruce M. Psaty, Donglei Hu, Ernest T. Lam, Wen‐Chi Hsueh, Nir Barzilai, Gil Atzmon, Nicholas J. Schork and Scott Huntsman. Their work appears in journals such as Nature Methods, GigaScience, American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Allergy and Clinical Immunology and Cell Reports.
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.