Jerry Usary

4.6k total citations
19 papers, 1.6k citations indexed

About

Jerry Usary is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jerry Usary has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Jerry Usary's work include Cancer Cells and Metastasis (7 papers), Cancer-related Molecular Pathways (6 papers) and Gene expression and cancer classification (4 papers). Jerry Usary is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Cancer-related Molecular Pathways (6 papers) and Gene expression and cancer classification (4 papers). Jerry Usary collaborates with scholars based in United States, Norway and Canada. Jerry Usary's co-authors include Charles M. Perou, David B. Darr, Daniel Oh, Xiaping He, Melissa A. Troester, Cheng Fan, Norman E. Sharpless, Patrick J. Roberts, Austin J. Combest and William C. Zamboni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Jerry Usary

18 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jerry Usary United States 16 894 855 531 365 222 19 1.6k
Celina M. D’Cruz United States 16 1.1k 1.2× 688 0.8× 299 0.6× 493 1.4× 265 1.2× 38 1.8k
Ali Naderi United Kingdom 21 993 1.1× 606 0.7× 566 1.1× 205 0.6× 345 1.6× 36 1.7k
Amy E. McCart Reed Australia 22 707 0.8× 685 0.8× 534 1.0× 359 1.0× 125 0.6× 66 1.5k
Yanis Boumber United States 22 1.6k 1.8× 699 0.8× 471 0.9× 420 1.2× 154 0.7× 56 2.3k
S. John Weroha United States 21 741 0.8× 610 0.7× 368 0.7× 174 0.5× 230 1.0× 71 1.5k
Manikandan Periyasamy United Kingdom 16 767 0.9× 463 0.5× 344 0.6× 206 0.6× 191 0.9× 19 1.2k
Bedri Karakas United States 17 1.1k 1.3× 500 0.6× 379 0.7× 314 0.9× 197 0.9× 25 1.6k
Josh Lauring United States 22 1.4k 1.6× 515 0.6× 510 1.0× 272 0.7× 194 0.9× 42 2.0k
Isabel Chu United States 11 1.1k 1.3× 1.0k 1.2× 346 0.7× 213 0.6× 183 0.8× 12 1.8k
Zaida García‐Casado Spain 20 782 0.9× 482 0.6× 427 0.8× 229 0.6× 187 0.8× 79 1.3k

Countries citing papers authored by Jerry Usary

Since Specialization
Citations

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

Fields of papers citing papers by Jerry Usary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerry Usary

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

All Works

19 of 19 papers shown
1.
Dyke, T A Van, Victor Weigman, Karen Rasmussen, et al.. (2019). Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors. UNC Libraries. 1 indexed citations
2.
Hollern, Daniel P., Cristina M. Contreras, Grace O. Silva, et al.. (2018). A mouse model featuring tissue-specific deletion of p53 and Brca1 gives rise to mammary tumors with genomic and transcriptomic similarities to human basal-like breast cancer. Breast Cancer Research and Treatment. 174(1). 143–155. 19 indexed citations
3.
O’Flanagan, Ciara H., Emily L. Rossi, Xuewen Chen, et al.. (2017). Metabolic reprogramming underlies metastatic potential in an obesity-responsive murine model of metastatic triple negative breast cancer. npj Breast Cancer. 3(1). 26–26. 35 indexed citations
4.
Glass, Oliver, Michelle Bowie, Julie A. Fuller, et al.. (2017). Differential response to exercise in claudin-low breast cancer. Oncotarget. 8(60). 100989–101004. 22 indexed citations
5.
He, Xiaping, et al.. (2016). Abstract A24: Characterization of a novel p53; BRCA1-deficient claudin-low mammary tumor cell line. Cancer Research. 76(3_Supplement). A24–A24.
6.
Usary, Jerry, David B. Darr, Adam D. Pfefferle, & Charles M. Perou. (2016). Overview of Genetically Engineered Mouse Models of Distinct Breast Cancer Subtypes. Current Protocols in Pharmacology. 72(1). 14.38.1–14.38.11. 20 indexed citations
7.
Usary, Jerry, Wei Zhao, David B. Darr, et al.. (2013). Predicting Drug Responsiveness in Human Cancers Using Genetically Engineered Mice. Clinical Cancer Research. 19(17). 4889–4899. 40 indexed citations
8.
Pfefferle, Adam D., Jason I. Herschkowitz, Jerry Usary, et al.. (2013). Transcriptomic classification of genetically engineered mouse models of breast cancer identifies human subtype counterparts. Genome biology. 14(11). R125–R125. 145 indexed citations
9.
Roberts, Patrick J., Jerry Usary, David B. Darr, et al.. (2012). Combined PI3K/mTOR and MEK Inhibition Provides Broad Antitumor Activity in Faithful Murine Cancer Models. Clinical Cancer Research. 18(19). 5290–5303. 107 indexed citations
10.
Roberts, Patrick J., John Bisi, Jay C. Strum, et al.. (2012). Multiple Roles of Cyclin-Dependent Kinase 4/6 Inhibitors in Cancer Therapy. JNCI Journal of the National Cancer Institute. 104(6). 476–487. 215 indexed citations
11.
Dunlap, Sarah M., Letícia Nogueira, Jerry Usary, et al.. (2012). Dietary Energy Balance Modulates Epithelial-to-Mesenchymal Transition and Tumor Progression in Murine Claudin-Low and Basal-like Mammary Tumor Models. Cancer Prevention Research. 5(7). 930–942. 63 indexed citations
12.
Siamakpour‐Reihani, Sharareh, Joseph M. Caster, Andrew Courtwright, et al.. (2011). The Role of Calcineurin/NFAT in SFRP2 Induced Angiogenesis—A Rationale for Breast Cancer Treatment with the Calcineurin Inhibitor Tacrolimus. PLoS ONE. 6(6). e20412–e20412. 74 indexed citations
13.
Usary, Jerry, et al.. (2011). S6-5: Obesity Drives Epithelial-to-Mesenchymal Transition and Tumor Progression in a Novel Claudin-Low Mammary Cancer Model.. Cancer Research. 71(24_Supplement). S6–5. 1 indexed citations
14.
Herschkowitz, Jason I., Wei Zhao, Mei Zhang, et al.. (2011). Comparative oncogenomics identifies breast tumors enriched in functional tumor-initiating cells. Proceedings of the National Academy of Sciences. 109(8). 2778–2783. 159 indexed citations
15.
Pei, Xin‐Hai, Feng Bai, Matthew D. Smith, et al.. (2009). CDK Inhibitor p18INK4c Is a Downstream Target of GATA3 and Restrains Mammary Luminal Progenitor Cell Proliferation and Tumorigenesis. Cancer Cell. 15(5). 389–401. 77 indexed citations
16.
Oh, Daniel, Melissa A. Troester, Jerry Usary, et al.. (2006). Estrogen-Regulated Genes Predict Survival in Hormone Receptor–Positive Breast Cancers. Journal of Clinical Oncology. 24(11). 1656–1664. 265 indexed citations
17.
Novoradovskaya, Natalia, Michael L. Whitfield, Alexey Novoradovsky, et al.. (2004). Universal Reference RNA as a standard for microarray experiments. BMC Genomics. 5(1). 20–20. 117 indexed citations
18.
Usary, Jerry, Víctor Llaca, Gamze Karaca, et al.. (2004). Mutation of GATA3 in human breast tumors. Oncogene. 23(46). 7669–7678. 198 indexed citations
19.
Usary, Jerry & W. Scott Champney. (2001). Erythromycin inhibition of 50S ribosomal subunit formation in Escherichia coli cells. Molecular Microbiology. 40(4). 951–962. 59 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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