Jacquelyn Shaw
Impact in
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- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Metabolism, Diabetes, and Cancer
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
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- Cancer, Hypoxia, and Metabolism
Papers in
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- PI3K/AKT/mTOR signaling in cancer 2
- Coenzyme Q10 studies and effects 1
- Metabolism, Diabetes, and Cancer 1
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- Cancer Mechanisms and Therapy 1
- Historical and Scientific Studies 1
- Co-authors
- Matthew Maurer (3 shared papers)Jocelyn Downie (2 shared papers)Benjamin D. Hopkins (2 shared papers)Ramon Parsons (2 shared papers)Nicole Steinbach (1 shared paper)Meaghan Dendy (1 shared paper)Sarah M. Mense (1 shared paper)Hanina Hibshoosh (1 shared paper)
- Journals
- Integrative Cancer Therapies (1 paper)Science (1 paper)Bioethics (1 paper)Oncotarget (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jacquelyn Shaw
6 papers receiving 357 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 269
- Cancer Research 42
- Oncology 73
- Aging 5
- Genetics 27
Countries citing papers authored by Jacquelyn Shaw
This map shows the geographic impact of Jacquelyn Shaw'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 Jacquelyn Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacquelyn Shaw more than expected).
Fields of papers citing papers by Jacquelyn Shaw
This network shows the impact of papers produced by Jacquelyn Shaw. 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 Jacquelyn Shaw. The network helps show where Jacquelyn Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacquelyn Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 248 | |
| 2 | 2014 | 46 | |
| 3 | 2012 | 35 | |
| 4 | 2013 | 28 | |
| 5 | Moving Forward with a Clear Conscience: A Model Conscientious Objection Policy for Canadian Colleges of Physicians and Surgeons | 2013 | 5 |
| 6 | 2014 | 3 |
About Jacquelyn Shaw
Jacquelyn Shaw is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Public Health, Environmental and Occupational Health and Pharmacy, having authored 6 papers that have together received 365 indexed citations. Recurring topics across this work include Reproductive Health and Contraception (2 papers), Medical Malpractice and Liability Issues (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Mechanisms and Therapy (1 paper), Coenzyme Q10 studies and effects (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Historical and Scientific Studies (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Molecular Biology (269 citations), Cancer Research (42 citations), Oncology (73 citations), Aging (5 citations) and Genetics (27 citations). Jacquelyn Shaw has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Matthew Maurer, Jocelyn Downie, Benjamin D. Hopkins, Ramon Parsons, Nicole Steinbach, Meaghan Dendy, Sarah M. Mense, Hanina Hibshoosh, Jennifer S. Yu and Barry Fine. Their work appears in journals such as Integrative Cancer Therapies, Science, Bioethics, Oncotarget and SSRN Electronic 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.