Matthew Penna

780 total citations
17 papers, 673 citations indexed

About

Matthew Penna is a scholar working on Surfaces, Coatings and Films, Molecular Biology and Biomaterials. According to data from OpenAlex, Matthew Penna has authored 17 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surfaces, Coatings and Films, 6 papers in Molecular Biology and 6 papers in Biomaterials. Recurrent topics in Matthew Penna's work include Polymer Surface Interaction Studies (10 papers), Supramolecular Self-Assembly in Materials (5 papers) and Luminescence and Fluorescent Materials (3 papers). Matthew Penna is often cited by papers focused on Polymer Surface Interaction Studies (10 papers), Supramolecular Self-Assembly in Materials (5 papers) and Luminescence and Fluorescent Materials (3 papers). Matthew Penna collaborates with scholars based in Australia, United Kingdom and United States. Matthew Penna's co-authors include Mark J. Biggs, Milija Mijajlović, Irene Yarovsky, Shane Maclaughlin, David A. Winkler, Tu C. Le, Joseph J. Richardson, Zhixing Lin, Yiyuan Han and Frank Caruso and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Matthew Penna

17 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Penna Australia	12	224	209	200	190	170	17	673
Mark Ruegsegger United States	8	216 1.0×	152 0.7×	199 1.0×	142 0.7×	87 0.5×	10	562
Manja A. Behrens Denmark	18	260 1.2×	393 1.9×	170 0.8×	225 1.2×	227 1.3×	32	1.2k
Xuebo Quan China	18	153 0.7×	252 1.2×	136 0.7×	168 0.9×	243 1.4×	32	753
Monika Wasilewska Poland	14	167 0.7×	305 1.5×	297 1.5×	394 2.1×	148 0.9×	37	1.1k
Karina Kubiak-Ossowska United Kingdom	18	179 0.8×	371 1.8×	262 1.3×	221 1.2×	193 1.1×	36	896
Anna Bratek‐Skicki Poland	18	109 0.5×	267 1.3×	249 1.2×	292 1.5×	100 0.6×	26	834
Nicolas Laugel United States	13	149 0.7×	120 0.6×	470 2.4×	134 0.7×	180 1.1×	13	905
Ann K. Nowinski United States	9	175 0.8×	424 2.0×	345 1.7×	268 1.4×	127 0.7×	12	888
J. S. Tan United States	20	226 1.0×	166 0.8×	327 1.6×	221 1.2×	144 0.8×	45	1.1k
Magne Knag Norway	6	200 0.9×	378 1.8×	119 0.6×	249 1.3×	373 2.2×	8	940

Countries citing papers authored by Matthew Penna

Since Specialization

Citations

This map shows the geographic impact of Matthew Penna'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 Matthew Penna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Penna more than expected).

Fields of papers citing papers by Matthew Penna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Penna. 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 Matthew Penna. The network helps show where Matthew Penna may publish in the future.

Co-authorship network of co-authors of Matthew Penna

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

All Works

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17 of 17 papers shown

1.

Najer, Adrian, Alexis Belessiotis‐Richards, Hyemin Kim, et al.. (2022). Block Length‐Dependent Protein Fouling on Poly(2‐oxazoline)‐Based Polymersomes: Influence on Macrophage Association and Circulation Behavior. Small. 18(27). e2201993–e2201993. 17 indexed citations

2.

Zhou, Jiajing, Matthew Penna, Zhixing Lin, et al.. (2021). Robust and Versatile Coatings Engineered via Simultaneous Covalent and Noncovalent Interactions. Angewandte Chemie. 133(37). 20387–20392. 2 indexed citations

3.

Lin, Yiyang, Matthew Penna, Christopher D. Spicer, et al.. (2021). High-Throughput Peptide Derivatization toward Supramolecular Diversification in Microtiter Plates. ACS Nano. 15(3). 4034–4044. 11 indexed citations

4.

Zhou, Jiajing, Matthew Penna, Zhixing Lin, et al.. (2021). Robust and Versatile Coatings Engineered via Simultaneous Covalent and Noncovalent Interactions. Angewandte Chemie International Edition. 60(37). 20225–20230. 27 indexed citations

5.

Zhou, Jiajing, Zhixing Lin, Matthew Penna, et al.. (2020). Particle engineering enabled by polyphenol-mediated supramolecular networks. Nature Communications. 11(1). 4804–4804. 97 indexed citations

6.

Penna, Matthew & Irene Yarovsky. (2020). Nanoscalein silicoclassification of ligand functionalised surfaces for protein adsorption resistance. Nanoscale. 12(13). 7240–7255. 11 indexed citations

7.

Lin, Yiyang, Matthew Penna, Michael R. Thomas, et al.. (2019). Residue-Specific Solvation-Directed Thermodynamic and Kinetic Control over Peptide Self-Assembly with 1D/2D Structure Selection. ACS Nano. 13(2). 1900–1909. 52 indexed citations

8.

Le, Tu C., Matthew Penna, David A. Winkler, & Irene Yarovsky. (2019). Quantitative design rules for protein-resistant surface coatings using machine learning. Scientific Reports. 9(1). 265–265. 53 indexed citations

9.

Penna, Matthew, et al.. (2019). Hydration and Dynamics of Ligands Determine the Antifouling Capacity of Functionalized Surfaces. The Journal of Physical Chemistry C. 123(50). 30360–30372. 22 indexed citations

10.

Molino, Paul J., Dan Yang, Matthew Penna, et al.. (2018). Hydration Layer Structure of Biofouling-Resistant Nanoparticles. ACS Nano. 12(11). 11610–11624. 88 indexed citations

11.

Penna, Matthew, et al.. (2016). Surface heterogeneity: a friend or foe of protein adsorption – insights from theoretical simulations. Faraday Discussions. 191. 435–464. 30 indexed citations

12.

Christofferson, Andrew J., et al.. (2015). Surface-water Interface Induces Conformational Changes Critical for Protein Adsorption: Implications for Monolayer Formation of EAS Hydrophobin. Frontiers in Molecular Biosciences. 2. 64–64. 29 indexed citations

13.

Penna, Matthew, Milija Mijajlović, Candan Tamerler, & Mark J. Biggs. (2015). Molecular-level understanding of the adsorption mechanism of a graphite-binding peptide at the water/graphite interface. Soft Matter. 11(26). 5192–5203. 29 indexed citations

14.

Penna, Matthew, Milija Mijajlović, & Mark J. Biggs. (2014). Molecular-Level Understanding of Protein Adsorption at the Interface between Water and a Strongly Interacting Uncharged Solid Surface. Journal of the American Chemical Society. 136(14). 5323–5331. 148 indexed citations

15.

Mijajlović, Milija, Matthew Penna, & Mark J. Biggs. (2013). Free Energy of Adsorption for a Peptide at a Liquid/Solid Interface via Nonequilibrium Molecular Dynamics. Langmuir. 29(9). 2919–2926. 53 indexed citations

16.

Mijajlović, Milija, Matthew Penna, & Mark J. Biggs. (2011). Free energy of adsorption of proteins at fluid/solid interfaces using molecular simulation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1221. 1 indexed citations

17.

Penna, Matthew, et al.. (2010). TNAMD: Implementation of TIGER2 in NAMD. Computer Physics Communications. 181(12). 2082–2085. 3 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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