Nancy Paz
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Lung Cancer Research Studies
- Cytokine Signaling Pathways and Interactions
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- Nanoparticle-Based Drug Delivery
Papers in
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- Nanoplatforms for cancer theranostics 10
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- Cancer therapeutics and mechanisms 9
- Co-authors
- Jonathan B. Fitzgerald (17 shared papers)Ashish Kalra (12 shared papers)Daryl C. Drummond (11 shared papers)Stephan G. Klinz (14 shared papers)Jaeyeon Kim (6 shared papers)Jason E. Cain (3 shared papers)Ulrik B. Nielsen (6 shared papers)Narasimha Swamy (2 shared papers)
- Journals
- Cancer Research (9 papers)Molecular Cancer Therapeutics (2 papers)Journal of Clinical Oncology (2 papers)Clinical Cancer Research (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Nancy Paz
21 papers receiving 565 citations
Peers
Comparison fields: 5 of 69
- Oncology 211
- Biomaterials 93
- Cancer Research 64
- Pulmonary and Respiratory Medicine 117
- Immunology 73
Countries citing papers authored by Nancy Paz
This map shows the geographic impact of Nancy Paz'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 Nancy Paz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Paz more than expected).
Fields of papers citing papers by Nancy Paz
This network shows the impact of papers produced by Nancy Paz. 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 Nancy Paz. The network helps show where Nancy Paz may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy Paz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 157 | |
| 2 | 2017 | 91 | |
| 3 | 2015 | 88 | |
| 4 | 2006 | 62 | |
| 5 | 2006 | 43 | |
| 6 | 1999 | 38 | |
| 7 | 2017 | 29 | |
| 8 | 2000 | 29 | |
| 9 | 2014 | 13 | |
| 10 | 2018 | 4 | |
| 11 | 2013 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2012 | 3 | |
| 14 | 2011 | 2 | |
| 15 | 2012 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2013 | 1 |
About Nancy Paz
Nancy Paz is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Oncology and Biotechnology, having authored 21 papers that have together received 574 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (10 papers), Cancer therapeutics and mechanisms (9 papers), Nanoparticle-Based Drug Delivery (9 papers), Lung Cancer Research Studies (5 papers), Cancer Research and Treatments (5 papers), Photodynamic Therapy Research Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Oncology (211 citations), Biomaterials (93 citations), Cancer Research (64 citations), Pulmonary and Respiratory Medicine (117 citations) and Immunology (73 citations). Nancy Paz has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jonathan B. Fitzgerald, Ashish Kalra, Daryl C. Drummond, Stephan G. Klinz, Jaeyeon Kim, Jason E. Cain, Ulrik B. Nielsen, Narasimha Swamy, Rahul Ray and Helen Lee. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Clinical Oncology, Clinical Cancer Research and Bioorganic & Medicinal Chemistry Letters.
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.