Maria D. Cabezas
- Inorganic Chemistry top 5%
- Biomedical Engineering top 10%
- Nanofabrication and Lithography Techniques 5
- 3D Printing in Biomedical Research 2
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- Force Microscopy Techniques and Applications 3
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- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
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- Monoclonal and Polyclonal Antibodies Research 3
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- Cellular Mechanics and Interactions 2
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- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Chad A. MirkinWilliam MorrisWilliam E. BrileyEvelyn AuyeungMilan MrksichKeith A. BrownMichael C. JewettBrian Meckes
- Journals
- Journal of the American Chemical Society (1 paper)Nature Communications (1 paper)Nano Letters (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Maria D. Cabezas
15 papers receiving 737 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Inorganic Chemistry 299
- Biomedical Engineering 324
- Materials Chemistry 232
- Biomaterials 60
- Polymers and Plastics 58
Countries citing papers authored by Maria D. Cabezas
This map shows the geographic impact of Maria D. Cabezas'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 Maria D. Cabezas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria D. Cabezas more than expected).
Fields of papers citing papers by Maria D. Cabezas
This network shows the impact of papers produced by Maria D. Cabezas. 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 Maria D. Cabezas. The network helps show where Maria D. Cabezas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria D. Cabezas, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2022 | 23 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 38 | |
| 7 | 2019 | 51 | |
| 8 | 2017 | 19 | |
| 9 | 2016 | 21 | |
| 10 | 2016 | 27 | |
| 11 | 2014 | 12 | |
| 12 | Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugatesbreakdown → | 2014 | 423 |
| 13 | 2013 | 89 | |
| 14 | 2011 | 4 | |
| 15 | 2010 | 2 |
About Maria D. Cabezas
Maria D. Cabezas is a scholar working on Bioengineering, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 744 indexed citations. Recurring topics across this work include Nanofabrication and Lithography Techniques (5 papers), Force Microscopy Techniques and Applications (3 papers), CRISPR and Genetic Engineering (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), 3D Printing in Biomedical Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Cellular Mechanics and Interactions (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Inorganic Chemistry (299 citations), Biomedical Engineering (324 citations) and Materials Chemistry (232 citations). Maria D. Cabezas has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Chad A. Mirkin, William Morris, William E. Briley, Evelyn Auyeung, Milan Mrksich, Keith A. Brown, Michael C. Jewett, Brian Meckes, Daniel J. Eichelsdoerfer and Adam B. Braunschweig. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and Nano 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.