Tricia Moore

426 total citations
10 papers, 325 citations indexed

About

Tricia Moore is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tricia Moore has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tricia Moore's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Metabolism, Diabetes, and Cancer (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Tricia Moore is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Metabolism, Diabetes, and Cancer (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Tricia Moore collaborates with scholars based in United States. Tricia Moore's co-authors include John DiGiovanni, Linda Beltrán, Stephen D. Hursting, Steve Carbajal, Sara S. Strom, Jeanine Traag, Okkyung Rho, Shoshana Yakar, Jianjun Shen and Susan N. Perkins and has published in prestigious journals such as Cancer Research, Annals of the New York Academy of Sciences and Journal of Allergy and Clinical Immunology.

In The Last Decade

Tricia Moore

9 papers receiving 320 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tricia Moore United States 6 195 110 81 79 51 10 325
Nicole I. Hunger Australia 6 205 1.1× 121 1.1× 60 0.7× 71 0.9× 100 2.0× 6 381
Fahmida Rasha United States 10 119 0.6× 85 0.8× 30 0.4× 69 0.9× 26 0.5× 15 334
Jonathan C. Jaoude United States 7 232 1.2× 55 0.5× 44 0.5× 117 1.5× 21 0.4× 9 394
Rashmi Krishnapuram United States 9 206 1.1× 57 0.5× 68 0.8× 55 0.7× 25 0.5× 10 359
Cecilia Mur Spain 10 138 0.7× 39 0.4× 113 1.4× 27 0.3× 32 0.6× 13 261
André Sarmento‐Cabral Spain 12 199 1.0× 39 0.4× 67 0.8× 79 1.0× 108 2.1× 23 393
In Hyuk Bang South Korea 13 188 1.0× 54 0.5× 95 1.2× 47 0.6× 31 0.6× 16 434
Ken Desai United Kingdom 4 77 0.4× 94 0.9× 82 1.0× 115 1.5× 27 0.5× 6 331
Yeon Ju Yang South Korea 9 209 1.1× 64 0.6× 92 1.1× 41 0.5× 187 3.7× 10 432
Kevin T. Bauerle United States 10 171 0.9× 42 0.4× 32 0.4× 56 0.7× 98 1.9× 10 305

Countries citing papers authored by Tricia Moore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tricia Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Tricia Moore. A scholar is included among the top collaborators of Tricia Moore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tricia Moore. Tricia Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Moore, Tricia, et al.. (2018). Detection of dust mite allergens in homes throughout the US. Journal of Allergy and Clinical Immunology. 141(2). AB126–AB126.
2.
Young, Joshua, et al.. (2014). Regional diagnostic panels for aeroallergens in Canada. Allergy Asthma and Clinical Immunology. 10(S1). 1 indexed citations
3.
Moore, Tricia, Linda Beltrán, Steve Carbajal, Stephen D. Hursting, & John DiGiovanni. (2012). Energy Balance Modulates Mouse Skin Tumor Promotion through Altered IGF-1R and EGFR Crosstalk. Cancer Prevention Research. 5(10). 1236–1246. 23 indexed citations
4.
Moore, Tricia, et al.. (2012). Abstract 1010: Effect of dietary energy balance modulation on the ability of metformin to inhibit skin tumor promotion. Cancer Research. 72(8_Supplement). 1010–1010. 1 indexed citations
5.
Blando, Jorge, Tricia Moore, Stephen D. Hursting, et al.. (2011). Dietary Energy Balance Modulates Prostate Cancer Progression in Hi-Myc Mice. Cancer Prevention Research. 4(12). 2002–2014. 60 indexed citations
6.
Rho, Okkyung, et al.. (2011). Rapamycin Is a Potent Inhibitor of Skin Tumor Promotion by 12- O -Tetradecanoylphorbol-13-Acetate. Cancer Prevention Research. 4(7). 1011–1020. 52 indexed citations
7.
Moore, Tricia, et al.. (2011). Dietary energy balance modulation of epithelial carcinogenesis: a role for IGF‐1 receptor signaling and crosstalk. Annals of the New York Academy of Sciences. 1229(1). 7–17. 5 indexed citations
8.
Kiguchi, Kaoru, Takuya Kitamura, Tricia Moore, et al.. (2010). Dual Inhibition of Both the Epidermal Growth Factor Receptor and erbB2 Effectively Inhibits the Promotion of Skin Tumors during Two-Stage Carcinogenesis. Cancer Prevention Research. 3(8). 940–952. 10 indexed citations
9.
Moore, Tricia, Steve Carbajal, Linda Beltrán, et al.. (2008). Reduced Susceptibility to Two-Stage Skin Carcinogenesis in Mice with Low Circulating Insulin-Like Growth Factor I Levels. Cancer Research. 68(10). 3680–3688. 49 indexed citations
10.
Moore, Tricia, Linda Beltrán, Steve Carbajal, et al.. (2008). Dietary Energy Balance Modulates Signaling through the Akt/Mammalian Target of Rapamycin Pathways in Multiple Epithelial Tissues. Cancer Prevention Research. 1(1). 65–76. 124 indexed citations

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.

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2026