Catherine Chu
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Sensory Systems top 10%
- Ion Channels and Receptors
Papers in
-
- RNA and protein synthesis mechanisms 3
- DNA Repair Mechanisms 1
- Gene expression and cancer classification 1
- FOXO transcription factor regulation 1
- Genetics 4
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Pui–Yan Kwok (11 shared papers)Ludmila Pawlikowska (2 shared papers)Bruce M. Psaty (2 shared papers)Bani Tamraz (2 shared papers)Alex P. Reiner (1 shared paper)Nir Barzilai (1 shared paper)Justin Chen (1 shared paper)Steven R. Cummings (1 shared paper)
- Journals
- Nature Methods (2 papers)Molecular Pain (1 paper)Neurosurgery (1 paper)Oncogene (1 paper)Aging Cell (1 paper)
- Partner nations
- United StatesChinaThailand
In The Last Decade
Catherine Chu
23 papers receiving 971 citations
Peers
Comparison fields: 5 of 99
- Aging 191
- Sensory Systems 54
- Molecular Biology 467
- Geriatrics and Gerontology 19
- Physiology 145
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 278 | |
| 2 | 2016 | 157 | |
| 3 | 2011 | 55 | |
| 4 | 2010 | 54 | |
| 5 | 2009 | 53 | |
| 6 | 2011 | 51 | |
| 7 | 2013 | 51 | |
| 8 | 2019 | 44 | |
| 9 | 2016 | 42 | |
| 10 | 2014 | 36 | |
| 11 | 2011 | 34 | |
| 12 | 2009 | 30 | |
| 13 | 1997 | 20 | |
| 14 | 2013 | 19 | |
| 15 | 2014 | 18 | |
| 16 | 2021 | 14 | |
| 17 | 2007 | 13 | |
| 18 | 2020 | 10 | |
| 19 | 2019 | 5 | |
| 20 | 2019 | 3 |
About Catherine Chu
Catherine Chu is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Sensory Systems, having authored 23 papers that have together received 991 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Ion Channels and Receptors (2 papers), DNA Repair Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper), FOXO transcription factor regulation (1 paper) and Chemotherapy-induced cardiotoxicity and mitigation (1 paper). The work is most often cited by research in Aging (191 citations), Sensory Systems (54 citations), Molecular Biology (467 citations), Geriatrics and Gerontology (19 citations) and Physiology (145 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, Bani Tamraz, Alex P. Reiner, Nir Barzilai, Justin Chen, Steven R. Cummings, Gil Atzmon and Warren S. Browner. Their work appears in journals such as Nature Methods, Molecular Pain, Neurosurgery, Oncogene and Aging 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.