Tracy Vargo-Gogola

2.8k total citations
28 papers, 2.1k citations indexed

About

Tracy Vargo-Gogola is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tracy Vargo-Gogola has authored 28 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Oncology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tracy Vargo-Gogola's work include Wnt/β-catenin signaling in development and cancer (9 papers), Cancer Cells and Metastasis (7 papers) and Protease and Inhibitor Mechanisms (5 papers). Tracy Vargo-Gogola is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (9 papers), Cancer Cells and Metastasis (7 papers) and Protease and Inhibitor Mechanisms (5 papers). Tracy Vargo-Gogola collaborates with scholars based in United States and Japan. Tracy Vargo-Gogola's co-authors include Jeffrey M. Rosen, Lisa E. Cole, Ryan K. Roeder, Barbara Fingleton, Lynn M. Matrisian, Howard C. Crawford, Ryan D. Ross, Conor C. Lynch, Wa Xian and Kathryn L. Schwertfeger and has published in prestigious journals such as The Journal of Cell Biology, Nature reviews. Cancer and ACS Nano.

In The Last Decade

Tracy Vargo-Gogola

27 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy Vargo-Gogola United States 21 995 914 537 400 221 28 2.1k
Chun‐Wei Peng China 29 1.0k 1.0× 660 0.7× 525 1.0× 396 1.0× 127 0.6× 64 2.3k
Michael H. Muders Germany 30 1.3k 1.3× 904 1.0× 502 0.9× 395 1.0× 401 1.8× 79 2.7k
Sylvie Roberge United States 18 1.1k 1.1× 578 0.6× 488 0.9× 654 1.6× 226 1.0× 39 2.5k
Qian Xie China 27 1.0k 1.0× 441 0.5× 412 0.8× 276 0.7× 178 0.8× 79 2.3k
Zhuo G. Chen United States 25 1.2k 1.2× 685 0.7× 270 0.5× 524 1.3× 169 0.8× 52 2.3k
Madeleine M. Handsley United Kingdom 8 772 0.8× 591 0.6× 525 1.0× 248 0.6× 91 0.4× 9 1.8k
Serena Marchiò Italy 25 990 1.0× 494 0.5× 273 0.5× 245 0.6× 161 0.7× 45 1.9k
Debabrata Saha United States 29 1.1k 1.1× 676 0.7× 471 0.9× 284 0.7× 275 1.2× 111 2.4k
Seong‐Yun Jeong South Korea 26 1.1k 1.2× 759 0.8× 357 0.7× 677 1.7× 199 0.9× 84 2.5k
Mohammad Hedayati United States 30 1.7k 1.7× 529 0.6× 686 1.3× 426 1.1× 94 0.4× 61 2.8k

Countries citing papers authored by Tracy Vargo-Gogola

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Vargo-Gogola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracy Vargo-Gogola. 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 Tracy Vargo-Gogola. The network helps show where Tracy Vargo-Gogola may publish in the future.

Co-authorship network of co-authors of Tracy Vargo-Gogola

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

All Works

20 of 20 papers shown
1.
2.
Roeder, Ryan K., et al.. (2017). Nanoparticle imaging probes for molecular imaging with computed tomography and application to cancer imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10132. 101320X–101320X. 10 indexed citations
3.
Cole, Lisa E., Tracy Vargo-Gogola, & Ryan K. Roeder. (2015). Targeted delivery to bone and mineral deposits using bisphosphonate ligands. Advanced Drug Delivery Reviews. 99(Pt A). 12–27. 153 indexed citations
4.
Nallathamby, Prakash D., et al.. (2015). Design and Synthesis of Nanoparticle Contrast Agents for Spectral (color) X-Ray Imaging. MRS Proceedings. 1719. 1 indexed citations
5.
Cole, Lisa E., Tracy Vargo-Gogola, & Ryan K. Roeder. (2014). Contrast-Enhanced X-ray Detection of Breast Microcalcifications in a Murine Model Using Targeted Gold Nanoparticles. ACS Nano. 8(7). 7486–7496. 33 indexed citations
6.
Cole, Lisa E., Tracy Vargo-Gogola, & Ryan K. Roeder. (2013). Bisphosphonate-functionalized gold nanoparticles for contrast-enhanced X-ray detection of breast microcalcifications. Biomaterials. 35(7). 2312–2321. 36 indexed citations
7.
Vargo-Gogola, Tracy, et al.. (2013). P190B RhoGAP Overexpression in the Developing Mammary Epithelium Induces TGFβ-dependent Fibroblast Activation. PLoS ONE. 8(5). e65105–e65105. 8 indexed citations
8.
Peddibhotla, Sirisha, et al.. (2012). P190B RhoGAP Regulates Chromosome Segregation in Cancer Cells. Cancers. 4(2). 475–489. 6 indexed citations
9.
Heckman‐Stoddard, Brandy M., et al.. (2011). P190A RhoGAP is required for mammary gland development. Developmental Biology. 360(1). 1–10. 19 indexed citations
10.
Brakebusch, Cord, et al.. (2011). The Rho GTPase Cdc42 is required for primary mammary epithelial cell morphogenesis in vitro. Small GTPases. 2(5). 247–258. 21 indexed citations
11.
Heckman‐Stoddard, Brandy M., Megan M. Rybarczyk, Lewis A. Chodosh, et al.. (2010). P190B RhoGAP has pro-tumorigenic functions during MMTV-Neu mammary tumorigenesis and metastasis. Breast Cancer Research. 12(5). R73–R73. 28 indexed citations
12.
Vargo-Gogola, Tracy, et al.. (2010). Pleiotropic Functions of Rho GTPase Signaling: A Trojan Horse or Achilles Heel for Breast Cancer Treatment?. Current Drug Targets. 11(9). 1043–1058. 16 indexed citations
13.
Heckman‐Stoddard, Brandy M., Tracy Vargo-Gogola, Changying Jiang, et al.. (2009). Haploinsufficiency for p190B RhoGAP inhibits MMTV-Neu tumor progression. Breast Cancer Research. 11(4). R61–R61. 24 indexed citations
14.
Lynch, Conor C., Tracy Vargo-Gogola, Michelle D. Martin, et al.. (2007). Matrix Metalloproteinase 7 Mediates Mammary Epithelial Cell Tumorigenesis through the ErbB4 Receptor. Cancer Research. 67(14). 6760–6767. 55 indexed citations
15.
Chakravarty, Geetika, Tracy Vargo-Gogola, Darryl L. Hadsell, et al.. (2007). Crosstalk between the p190-B RhoGAP and IGF signaling pathways is required for embryonic mammary bud development. Developmental Biology. 309(1). 137–149. 36 indexed citations
16.
Vargo-Gogola, Tracy & Jeffrey M. Rosen. (2007). Modelling breast cancer: one size does not fit all. Nature reviews. Cancer. 7(9). 659–672. 481 indexed citations
17.
Lynch, Conor C., Heath B. Acuff, Michelle D. Martin, et al.. (2005). MMP-7 promotes prostate cancer-induced osteolysis via the solubilization of RANKL. Cancer Cell. 7(5). 485–496. 275 indexed citations
18.
Vargo-Gogola, Tracy, Barbara Fingleton, Howard C. Crawford, & Lynn M. Matrisian. (2002). Matrilysin (matrix metalloproteinase-7) selects for apoptosis-resistant mammary cells in vivo.. PubMed. 62(19). 5559–63. 51 indexed citations
19.
Vargo-Gogola, Tracy, Howard C. Crawford, Barbara Fingleton, & Lynn M. Matrisian. (2002). Identification of novel matrix metalloproteinase-7 (matrilysin) cleavage sites in murine and human Fas ligand. Archives of Biochemistry and Biophysics. 408(2). 155–161. 122 indexed citations
20.
Fingleton, Barbara, Tracy Vargo-Gogola, Howard C. Crawford, & Lynn M. Matrisian. (2001). Matrilysin [MMP-7] Expression Selects for Cells with Reduced Sensitivity to Apoptosis. Neoplasia. 3(6). 459–468. 130 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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