Tricia Moore
Impact in
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- Cancer, Lipids, and Metabolism
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- Metabolism, Diabetes, and Cancer 4
- Oncology 3
- Cancer Risks and Factors 2
- Co-authors
- John DiGiovanni (8 shared papers)Stephen D. Hursting (4 shared papers)Linda Beltrán (4 shared papers)Steve Carbajal (3 shared papers)Sara S. Strom (2 shared papers)Jeanine Traag (1 shared paper)Okkyung Rho (2 shared papers)Achinto Saha (1 shared paper)
- Journals
- Cancer Prevention Research (5 papers)Journal of Dental Education (2 papers)Cancer Research (2 papers)Annals of the New York Academy of Sciences (1 paper)Journal of Allergy and Clinical Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
Tricia Moore
13 papers receiving 347 citations
Peers
Comparison fields: 5 of 61
- Aging 12
- Cancer Research 69
- Oncology 101
- Physiology 78
- Endocrinology, Diabetes and Metabolism 46
Countries citing papers authored by Tricia Moore
This map shows the geographic impact of Tricia Moore'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 Tricia Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tricia Moore more than expected).
Fields of papers citing papers by Tricia Moore
This network shows the impact of papers produced by Tricia Moore. 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 Tricia Moore. The network helps show where Tricia Moore may publish in the future.
Co-authors
The 22 scholars most cited alongside Tricia Moore, 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 | 2008 | 125 | |
| 2 | 2011 | 62 | |
| 3 | 2011 | 53 | |
| 4 | 2008 | 49 | |
| 5 | 2012 | 24 | |
| 6 | 2011 | 11 | |
| 7 | 2010 | 10 | |
| 8 | 2007 | 9 | |
| 9 | 2011 | 5 | |
| 10 | 2014 | 1 | |
| 11 | 2012 | 1 | |
| 12 | 2018 | 1 | |
| 13 | The student tutor experience in a problem-based learning course: A case study | 2009 | 1 |
About Tricia Moore
Tricia Moore is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Physiology and Education, having authored 13 papers that have together received 352 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Education and Critical Thinking Development (3 papers), Problem and Project Based Learning (3 papers), Allergic Rhinitis and Sensitization (2 papers), Cancer Risks and Factors (2 papers) and Innovations in Medical Education (2 papers). The work is most often cited by research in Aging (12 citations), Cancer Research (69 citations), Oncology (101 citations), Physiology (78 citations) and Endocrinology, Diabetes and Metabolism (46 citations). Tricia Moore has collaborated with scholars based in United States. Frequent co-authors include John DiGiovanni, Stephen D. Hursting, Linda Beltrán, Steve Carbajal, Sara S. Strom, Jeanine Traag, Okkyung Rho, Achinto Saha, Jianjun Shen and Shoshana Yakar. Their work appears in journals such as Cancer Prevention Research, Journal of Dental Education, Cancer Research, Annals of the New York Academy of Sciences and Journal of Allergy and Clinical Immunology.
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.