Grace Chew
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
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- Breast Cancer Treatment Studies
Papers in
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- Breast Cancer Treatment Studies 9
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- Digital Radiography and Breast Imaging 7
- Co-authors
- D.J. Albert (6 shared papers)Kara L. Britt (8 shared papers)Erik W. Thompson (8 shared papers)Michael A. Henderson (7 shared papers)Wendy V. Ingman (4 shared papers)John L. Hopper (3 shared papers)G. E. Brown (1 shared paper)Cecilia W. Huo (5 shared papers)
- Journals
- Physiology & Behavior (3 papers)Breast Cancer Research (3 papers)The Breast (3 papers)Breast Cancer Research and Treatment (3 papers)European Journal of Cancer (2 papers)
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
Grace Chew
31 papers receiving 678 citations
Peers
Comparison fields: 5 of 88
- Behavioral Neuroscience 61
- Cancer Research 81
- Pulmonary and Respiratory Medicine 170
- Oncology 142
- Social Psychology 116
Countries citing papers authored by Grace Chew
This map shows the geographic impact of Grace Chew'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 Grace Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Chew more than expected).
Fields of papers citing papers by Grace Chew
This network shows the impact of papers produced by Grace Chew. 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 Grace Chew. The network helps show where Grace Chew may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Chew, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 168 | |
| 2 | 2015 | 130 | |
| 3 | 1980 | 118 | |
| 4 | 1989 | 42 | |
| 5 | 1983 | 30 | |
| 6 | 2018 | 27 | |
| 7 | 1981 | 17 | |
| 8 | 1981 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 1982 | 16 | |
| 11 | 2014 | 15 | |
| 12 | The pathobiology of mammographic density | 2014 | 13 |
| 13 | 2016 | 11 | |
| 14 | 1981 | 9 | |
| 15 | 2020 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2023 | 5 |
About Grace Chew
Grace Chew is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Social Psychology, having authored 31 papers that have together received 695 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Digital Radiography and Breast Imaging (7 papers), Breast Implant and Reconstruction (3 papers), AI in cancer detection (3 papers), Neuroendocrine regulation and behavior (2 papers), Medical Imaging Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Behavioral Neuroscience (61 citations), Cancer Research (81 citations), Pulmonary and Respiratory Medicine (170 citations), Oncology (142 citations) and Social Psychology (116 citations). Grace Chew has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include D.J. Albert, Kara L. Britt, Erik W. Thompson, Michael A. Henderson, Wendy V. Ingman, John L. Hopper, G. E. Brown, Cecilia W. Huo, Dan McIntyre and Prue Hill. Their work appears in journals such as Physiology & Behavior, Breast Cancer Research, The Breast, Breast Cancer Research and Treatment and European Journal of Cancer.
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.