Tracy Vargo-Gogola
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms 5
- Oncology top 5%
- Cancer Cells and Metastasis 7
- Cancer-related Molecular Pathways 4
- Peptidase Inhibition and Analysis 3
- Immunology and Allergy top 5%
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer 9
- Biomaterials top 10%
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- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 3
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- Advanced X-ray and CT Imaging 3
- Co-authors
- Jeffrey M. RosenLisa E. ColeRyan K. RoederLynn M. MatrisianBarbara FingletonHoward C. CrawfordRyan D. RossConor C. Lynch
- Partner nations
- United StatesJapan
In The Last Decade
Tracy Vargo-Gogola
27 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 124
- Cancer Research 537
- Oncology 914
- Immunology and Allergy 143
- Molecular Biology 995
- Biomaterials 180
Countries citing papers authored by Tracy Vargo-Gogola
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
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
The 25 scholars most cited alongside Tracy Vargo-Gogola, 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 | 2018 | 20 | |
| 2 | 2017 | 10 | |
| 3 | 2015 | 153 | |
| 4 | 2015 | 1 | |
| 5 | 2014 | 33 | |
| 6 | 2013 | 36 | |
| 7 | 2013 | 8 | |
| 8 | 2012 | 6 | |
| 9 | 2011 | 19 | |
| 10 | 2011 | 21 | |
| 11 | 2010 | 28 | |
| 12 | 2010 | 16 | |
| 13 | 2009 | 24 | |
| 14 | 2007 | 55 | |
| 15 | 2007 | 36 | |
| 16 | 2007 | 481 | |
| 17 | 2005 | 275 | |
| 18 | Matrilysin (matrix metalloproteinase-7) selects for apoptosis-resistant mammary cells in vivo. | 2002 | 51 |
| 19 | 2002 | 122 | |
| 20 | 2001 | 130 |
About Tracy Vargo-Gogola
Tracy Vargo-Gogola is a scholar working on Oncology, Cancer Research and Immunology and Allergy, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (9 papers), Cancer Cells and Metastasis (7 papers), Protease and Inhibitor Mechanisms (5 papers), Cancer-related Molecular Pathways (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), Advanced X-ray and CT Imaging (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cancer Research (537 citations), Oncology (914 citations) and Immunology and Allergy (143 citations). Tracy Vargo-Gogola has collaborated with scholars based in United States and Japan. Frequent co-authors include Jeffrey M. Rosen, Lisa E. Cole, Ryan K. Roeder, Lynn M. Matrisian, Barbara Fingleton, Howard C. Crawford, Ryan D. Ross, Conor C. Lynch, Wa Xian and Kathryn L. Schwertfeger. Their work appears in journals such as Breast Cancer Research, ACS Nano, Developmental Biology, Current Drug Targets and Cancer Cell.
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.