Latonya Carrier

439 total citations
9 papers, 353 citations indexed

About

Latonya Carrier is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Latonya Carrier has authored 9 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Latonya Carrier's work include Estrogen and related hormone effects (4 papers), HER2/EGFR in Cancer Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Latonya Carrier is often cited by papers focused on Estrogen and related hormone effects (4 papers), HER2/EGFR in Cancer Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Latonya Carrier collaborates with scholars based in United States and China. Latonya Carrier's co-authors include Brian G. Rowan, Zengshan Li, Muralidharan Anbalagan, Christopher Williams, David Hangauer, Krzysztof Moroz, Carolyn G. Marsden, Matthew E. Burow, Arunthavarani Thiyagarajah and Virgilio A. Salvo and has published in prestigious journals such as PLoS ONE, Molecular Cancer Therapeutics and Breast Cancer Research and Treatment.

In The Last Decade

Latonya Carrier

9 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Latonya Carrier United States 9 161 130 64 63 48 9 353
Hsiao-Ling Hung United States 7 424 2.6× 48 0.4× 42 0.7× 64 1.0× 35 0.7× 8 640
Aparna R. Srivastava United States 8 349 2.2× 162 1.2× 10 0.2× 26 0.4× 63 1.3× 8 469
Dolores Winterstein United States 9 216 1.3× 87 0.7× 14 0.2× 41 0.7× 50 1.0× 13 334
Katayoun A. Jessen United States 9 216 1.3× 82 0.6× 18 0.3× 22 0.3× 23 0.5× 18 465
Sonia D'inzeo Italy 11 337 2.1× 58 0.4× 27 0.4× 56 0.9× 78 1.6× 16 444
Arianna Nicolussi Italy 11 340 2.1× 60 0.5× 27 0.4× 61 1.0× 81 1.7× 19 457
Jana Wendt Germany 10 395 2.5× 203 1.6× 15 0.2× 47 0.7× 92 1.9× 12 487
Shin-ichi Kaiho Japan 11 155 1.0× 75 0.6× 12 0.2× 57 0.9× 30 0.6× 20 378
Kimitoshi Kohno Japan 10 458 2.8× 222 1.7× 16 0.3× 33 0.5× 85 1.8× 13 604

Countries citing papers authored by Latonya Carrier

Since Specialization
Citations

This map shows the geographic impact of Latonya Carrier'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 Latonya Carrier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Latonya Carrier more than expected).

Fields of papers citing papers by Latonya Carrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Latonya Carrier. 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 Latonya Carrier. The network helps show where Latonya Carrier may publish in the future.

Co-authorship network of co-authors of Latonya Carrier

This figure shows the co-authorship network connecting the top 25 collaborators of Latonya Carrier. A scholar is included among the top collaborators of Latonya Carrier 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 Latonya Carrier. Latonya Carrier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Llopis, Shawn D., et al.. (2013). Dichotomous roles for the orphan nuclear receptor NURR1 in breast cancer. BMC Cancer. 13(1). 139–139. 31 indexed citations
2.
Anbalagan, Muralidharan, Alaa M. Ali, Ryan K. Jones, et al.. (2012). Peptidomimetic Src/Pretubulin Inhibitor KX-01 Alone and in Combination with Paclitaxel Suppresses Growth, Metastasis in Human ER/PR/HER2-Negative Tumor Xenografts. Molecular Cancer Therapeutics. 11(9). 1936–1947. 39 indexed citations
3.
Marsden, Carolyn G., Mary Wright, Latonya Carrier, Krzysztof Moroz, & Brian G. Rowan. (2012). Disseminated Breast Cancer Cells Acquire a Highly Malignant and Aggressive Metastatic Phenotype during Metastatic Latency in the Bone. PLoS ONE. 7(11). e47587–e47587. 14 indexed citations
4.
Marsden, Carolyn G., Mary Wright, Latonya Carrier, et al.. (2012). "A novel in vivo model for the study of human breast cancer metastasis using primary breast tumor-initiating cells from patient biopsies". BMC Cancer. 12(1). 10–10. 32 indexed citations
5.
Anbalagan, Muralidharan, et al.. (2012). Subcellular Localization of Total and Activated Src Kinase in African American and Caucasian Breast Cancer. PLoS ONE. 7(3). e33017–e33017. 30 indexed citations
6.
Anbalagan, Muralidharan, et al.. (2011). KX-01, a novel Src kinase inhibitor directed toward the peptide substrate site, synergizes with tamoxifen in estrogen receptor α positive breast cancer. Breast Cancer Research and Treatment. 132(2). 391–409. 51 indexed citations
8.
Li, Zengshan, Latonya Carrier, Arunthavarani Thiyagarajah, et al.. (2008). Combination of methylselenocysteine with tamoxifen inhibits MCF-7 breast cancer xenografts in nude mice through elevated apoptosis and reduced angiogenesis. Breast Cancer Research and Treatment. 118(1). 33–43. 68 indexed citations
9.
Li, Zengshan, Latonya Carrier, & Brian G. Rowan. (2008). Methylseleninic acid synergizes with tamoxifen to induce caspase-mediated apoptosis in breast cancer cells. Molecular Cancer Therapeutics. 7(9). 3056–3063. 34 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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