Amanda Tracz
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Angiogenesis and VEGF in Cancer 3
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
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- Renal cell carcinoma treatment 5
- Prostate Cancer Treatment and Research 2
- Co-authors
- John M.L. Ebos (9 shared papers)Sébastien Benzekry (2 shared papers)Philip Hahnfeldt (1 shared paper)Afshin Beheshti (1 shared paper)Clare Lamont (1 shared paper)Michalis Mastri (9 shared papers)Dean G. Tang (4 shared papers)Christina R. Lee (6 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Molecular Cancer Therapeutics (1 paper)PLoS ONE (1 paper)Journal of Clinical Oncology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Amanda Tracz
14 papers receiving 669 citations
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 222
- Cancer Research 182
- Oncology 227
- Molecular Biology 283
- Pulmonary and Respiratory Medicine 116
Countries citing papers authored by Amanda Tracz
This map shows the geographic impact of Amanda Tracz'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 Amanda Tracz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Tracz more than expected).
Fields of papers citing papers by Amanda Tracz
This network shows the impact of papers produced by Amanda Tracz. 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 Amanda Tracz. The network helps show where Amanda Tracz may publish in the future.
Co-authors
The 25 scholars most cited alongside Amanda Tracz, 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 | 2014 | 364 | |
| 2 | 2020 | 88 | |
| 3 | 2015 | 48 | |
| 4 | 2014 | 33 | |
| 5 | 2017 | 29 | |
| 6 | 2024 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2014 | 19 | |
| 10 | 2020 | 11 | |
| 11 | 2016 | 7 | |
| 12 | 2014 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2015 | 3 |
About Amanda Tracz
Amanda Tracz is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Biotechnology, having authored 14 papers that have together received 679 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Renal cell carcinoma treatment (5 papers), Cancer Genomics and Diagnostics (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer Research and Treatments (3 papers), Prostate Cancer Treatment and Research (2 papers), Epigenetics and DNA Methylation (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Modeling and Simulation (222 citations), Cancer Research (182 citations), Oncology (227 citations), Molecular Biology (283 citations) and Pulmonary and Respiratory Medicine (116 citations). Amanda Tracz has collaborated with scholars based in United States, Canada and China. Frequent co-authors include John M.L. Ebos, Sébastien Benzekry, Philip Hahnfeldt, Afshin Beheshti, Clare Lamont, Michalis Mastri, Dean G. Tang, Christina R. Lee, Dingxiao Zhang and Song Liu. Their work appears in journals such as Journal of Visualized Experiments, Molecular Cancer Therapeutics, PLoS ONE, Journal of Clinical Oncology and PLoS Computational Biology.
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.