Maria D. Cabezas

858 total citations · 1 hit paper
15 papers, 744 citations indexed

About

Maria D. Cabezas is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Maria D. Cabezas has authored 15 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Biomedical Engineering and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Maria D. Cabezas's work include Nanofabrication and Lithography Techniques (5 papers), Force Microscopy Techniques and Applications (3 papers) and CRISPR and Genetic Engineering (3 papers). Maria D. Cabezas is often cited by papers focused on Nanofabrication and Lithography Techniques (5 papers), Force Microscopy Techniques and Applications (3 papers) and CRISPR and Genetic Engineering (3 papers). Maria D. Cabezas collaborates with scholars based in United States, United Kingdom and Spain. Maria D. Cabezas's co-authors include Chad A. Mirkin, William Morris, Evelyn Auyeung, William E. Briley, Milan Mrksich, Keith A. Brown, Michael C. Jewett, Brian Meckes, Daniel J. Eichelsdoerfer and Louise R. Giam and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nano Letters.

In The Last Decade

Maria D. Cabezas

15 papers receiving 737 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates

2014 423 citations William Morris, William E. Briley et al. Journal of the American Chemical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria D. Cabezas United States	10	324	299	269	232	85	15	744
Johannes W. M. Osterrieth United Kingdom	8	187 0.6×	258 0.9×	103 0.4×	281 1.2×	41 0.5×	8	542
Deyue Yan China	15	170 0.5×	139 0.5×	151 0.6×	231 1.0×	99 1.2×	52	781
Hendrik Schroeder Germany	25	503 1.6×	105 0.4×	959 3.6×	203 0.9×	232 2.7×	45	1.7k
Chun‐Yan Qin China	17	164 0.5×	119 0.4×	216 0.8×	523 2.3×	137 1.6×	48	942
Rui Hao China	14	275 0.8×	118 0.4×	299 1.1×	273 1.2×	189 2.2×	30	952
Manuela Chiper Netherlands	21	222 0.7×	137 0.5×	269 1.0×	391 1.7×	108 1.3×	29	1.0k
Keith J. Fritzsching United States	14	76 0.2×	304 1.0×	247 0.9×	344 1.5×	103 1.2×	29	951
Valentin O. Rodionov Saudi Arabia	13	145 0.4×	102 0.3×	851 3.2×	198 0.9×	228 2.7×	18	1.9k
Nak‐Kyoon Kim South Korea	16	123 0.4×	81 0.3×	351 1.3×	218 0.9×	33 0.4×	31	817
Kemin Wang China	15	563 1.7×	72 0.2×	829 3.1×	247 1.1×	152 1.8×	28	1.1k

Countries citing papers authored by Maria D. Cabezas

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Maria D. Cabezas

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

All Works

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15 of 15 papers shown

Cabezas, Maria D., Martin Daniel-Ivad, Katherine F. Warfel, et al.. (2025). Characterizing and engineering post-translational modifications with high-throughput cell-free expression. Nature Communications. 16(1). 7215–7215. 1 indexed citations

Wu, Zhenwei, Dingran Chang, Maria D. Cabezas, et al.. (2025). Dual-Chronoamperometry Drift Correction for Electrochemical Sensors. ACS Sensors. 10(9). 7051–7059. 1 indexed citations

Jung, Jaeyoung K., Joseph J. Muldoon, Maria D. Cabezas, et al.. (2024). Developing, Characterizing, and Modeling CRISPR-Based Point-of-Use Pathogen Diagnostics. ACS Synthetic Biology. 14(1). 129–147. 5 indexed citations

Gan, Rui, Maria D. Cabezas, Ming Pan, et al.. (2022). High-Throughput Regulatory Part Prototyping and Analysis by Cell-Free Protein Synthesis and Droplet Microfluidics. ACS Synthetic Biology. 11(6). 2108–2120. 23 indexed citations

Zhu, Bo, Rui Gan, Maria D. Cabezas, et al.. (2020). Increasing cell‐free gene expression yields from linear templates in Escherichia coli and Vibrio natriegens extracts by using DNA‐binding proteins. Biotechnology and Bioengineering. 117(12). 3849–3857. 28 indexed citations

Bogart, Jonathan W., et al.. (2020). Cell‐Free Exploration of the Natural Product Chemical Space. ChemBioChem. 22(1). 84–91. 38 indexed citations

Cabezas, Maria D., Brian Meckes, Chad A. Mirkin, & Milan Mrksich. (2019). Subcellular Control over Focal Adhesion Anisotropy, Independent of Cell Morphology, Dictates Stem Cell Fate. ACS Nano. 13(10). 11144–11152. 51 indexed citations

Cabezas, Maria D., Chad A. Mirkin, & Milan Mrksich. (2017). Nanopatterned Extracellular Matrices Enable Cell-Based Assays with a Mass Spectrometric Readout. Nano Letters. 17(3). 1373–1377. 19 indexed citations

Berns, Eric J., Maria D. Cabezas, & Milan Mrksich. (2016). Cellular Assays with a Molecular Endpoint Measured by SAMDI Mass Spectrometry. Small. 12(28). 3811–3818. 21 indexed citations

10.

Hedrick, James L., et al.. (2016). Hard Transparent Arrays for Polymer Pen Lithography. ACS Nano. 10(3). 3144–3148. 27 indexed citations

11.

Cabezas, Maria D., Daniel J. Eichelsdoerfer, Keith A. Brown, Milan Mrksich, & Chad A. Mirkin. (2014). Combinatorial Screening of Mesenchymal Stem Cell Adhesion and Differentiation Using Polymer Pen Lithography. Methods in cell biology. 119. 261–276. 12 indexed citations

12.

Morris, William, William E. Briley, Evelyn Auyeung, Maria D. Cabezas, & Chad A. Mirkin. (2014). Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates. Journal of the American Chemical Society. 136(20). 7261–7264. 423 indexed citations breakdown →

13.

Eichelsdoerfer, Daniel J., Xing Liao, Maria D. Cabezas, et al.. (2013). Large-area molecular patterning with polymer pen lithography. Nature Protocols. 8(12). 2548–2560. 89 indexed citations

14.

Cabezas, Maria D., et al.. (2011). MEDICRIME: The international convention of the Council of Europe as a tool to combat counterfeit medicines. Pharmaceuticals Policy and Law. 13(1,2). 41–55. 4 indexed citations

15.

Cabezas, Maria D.. (2010). Counterfeit medicines as global treat. Pharmaceuticals Policy and Law. 12(3-4). 179–192. 2 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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