Suzanne M. D’Addio

1.2k total citations
20 papers, 928 citations indexed

About

Suzanne M. D’Addio is a scholar working on Molecular Biology, Biomaterials and Pharmaceutical Science. According to data from OpenAlex, Suzanne M. D’Addio has authored 20 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Biomaterials and 6 papers in Pharmaceutical Science. Recurrent topics in Suzanne M. D’Addio's work include Nanoparticle-Based Drug Delivery (9 papers), Advanced Drug Delivery Systems (5 papers) and Protein purification and stability (4 papers). Suzanne M. D’Addio is often cited by papers focused on Nanoparticle-Based Drug Delivery (9 papers), Advanced Drug Delivery Systems (5 papers) and Protein purification and stability (4 papers). Suzanne M. D’Addio collaborates with scholars based in United States, Australia and Ireland. Suzanne M. D’Addio's co-authors include Robert K. Prud’homme, Hak‐Kim Chan, Philip Chi Lip Kwok, John Gar Yan Chan, Douglas H. Adamson, Walid Saad, Marian E. Gindy, Patrick J. Sinko, Mustafa Akbulut and Michael Kennedy and has published in prestigious journals such as Nano Letters, Analytical Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

Suzanne M. D’Addio

19 papers receiving 899 citations

Peers

Suzanne M. D’Addio
Yukinori Yamauchi Japan
Mahesh V. Chaubal United States
Camila Fabiano de Freitas Brazil
Kurt D. Ristroph United States
Maria Malamatari United Kingdom
Shirzad Azarmi Iran
Seema Thakral United States
Yi Shi China
Kazuhiro Sako Japan
Chikako Yomota Japan
Yukinori Yamauchi Japan
Suzanne M. D’Addio
Citations per year, relative to Suzanne M. D’Addio Suzanne M. D’Addio (= 1×) peers Yukinori Yamauchi

Countries citing papers authored by Suzanne M. D’Addio

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne M. D’Addio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne M. D’Addio. 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 Suzanne M. D’Addio. The network helps show where Suzanne M. D’Addio may publish in the future.

Co-authorship network of co-authors of Suzanne M. D’Addio

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

All Works

20 of 20 papers shown
1.
Ristroph, Kurt D., Nathalie M. Pinkerton, Chester E. Markwalter, et al.. (2025). 20 years of Flash NanoPrecipitation – from controlled precipitation to global medicine. Advanced Drug Delivery Reviews. 227. 115700–115700.
2.
Doerschuk, Peter C., et al.. (2024). Review of machine learning for lipid nanoparticle formulation and process development. Journal of Pharmaceutical Sciences. 113(12). 3413–3433. 20 indexed citations
3.
Xu, Wei, et al.. (2024). Probing Molecular Packing of Lipid Nanoparticles from 31P Solution and Solid-State NMR. Analytical Chemistry. 96(6). 2464–2473. 7 indexed citations
4.
LeValley, Paige J., Lina Pradhan, John Oakey, et al.. (2024). Injectable liposome-containing click hydrogel microparticles for release of macromolecular cargos. Soft Matter. 20(8). 1736–1745. 2 indexed citations
5.
Smith, Katelyn, et al.. (2024). A Model Study to Assess Fibrillation and Product Stability to Support Peptide Drug Design. Molecular Pharmaceutics. 21(5). 2223–2237. 1 indexed citations
6.
Li, Mingyue, Xingyu Lu, Mark A. McCoy, et al.. (2022). Molecular Mechanism of Antimicrobial Excipient-Induced Aggregation in Parenteral Formulations of Peptide Therapeutics. Molecular Pharmaceutics. 19(9). 3267–3278. 8 indexed citations
7.
Nanda, Kausik K., et al.. (2021). Inhibition of N-Nitrosamine Formation in Drug Products: A Model Study. Journal of Pharmaceutical Sciences. 110(12). 3773–3775. 51 indexed citations
8.
D’Addio, Suzanne M., et al.. (2020). Antimicrobial Excipient-Induced Reversible Association of Therapeutic Peptides in Parenteral Formulations. Journal of Pharmaceutical Sciences. 110(2). 850–859. 10 indexed citations
9.
Ni, Qing Zhe, Fengyuan Yang, Thach V. Can, et al.. (2017). In Situ Characterization of Pharmaceutical Formulations by Dynamic Nuclear Polarization Enhanced MAS NMR. The Journal of Physical Chemistry B. 121(34). 8132–8141. 56 indexed citations
10.
D’Addio, Suzanne M., Jameson R. Bothe, Paul L. Walsh, et al.. (2016). New and Evolving Techniques for the Characterization of Peptide Therapeutics. Journal of Pharmaceutical Sciences. 105(10). 2989–3006. 31 indexed citations
11.
D’Addio, Suzanne M., et al.. (2016). Determining drug release rates of hydrophobic compounds from nanocarriers. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 374(2072). 20150128–20150128. 22 indexed citations
12.
D’Addio, Suzanne M., Venkata M. Reddy, Ying Liu, et al.. (2015). Antitubercular Nanocarrier Combination Therapy: Formulation Strategies and in Vitro Efficacy for Rifampicin and SQ641. Molecular Pharmaceutics. 12(5). 1554–1563. 25 indexed citations
13.
D’Addio, Suzanne M., Steven N. Baldassano, Lei Shi, et al.. (2013). Optimization of cell receptor-specific targeting through multivalent surface decoration of polymeric nanocarriers. Journal of Controlled Release. 168(1). 41–49. 73 indexed citations
14.
D’Addio, Suzanne M., John Gar Yan Chan, Philip Chi Lip Kwok, et al.. (2013). Aerosol Delivery of Nanoparticles in Uniform Mannitol Carriers Formulated by Ultrasonic Spray Freeze Drying. Pharmaceutical Research. 30(11). 2891–2901. 53 indexed citations
15.
D’Addio, Suzanne M., Walid Saad, Steven M. Ansell, et al.. (2012). Effects of block copolymer properties on nanocarrier protection from in vivo clearance. Journal of Controlled Release. 162(1). 208–217. 89 indexed citations
16.
D’Addio, Suzanne M., John Gar Yan Chan, Philip Chi Lip Kwok, Robert K. Prud’homme, & Hak‐Kim Chan. (2012). Constant size, variable density aerosol particles by ultrasonic spray freeze drying. International Journal of Pharmaceutics. 427(2). 185–191. 65 indexed citations
17.
D’Addio, Suzanne M. & Robert K. Prud’homme. (2011). Controlling drug nanoparticle formation by rapid precipitation. Advanced Drug Delivery Reviews. 63(6). 417–426. 314 indexed citations
18.
D’Addio, Suzanne M., Mustafa Akbulut, Patrick Beattie, et al.. (2010). Novel Method for Concentrating and Drying Polymeric Nanoparticles: Hydrogen Bonding Coacervate Precipitation. Molecular Pharmaceutics. 7(2). 557–564. 38 indexed citations
19.
Akbulut, Mustafa, Suzanne M. D’Addio, Marian E. Gindy, & Robert K. Prud’homme. (2009). Novel methods of targeted drug delivery: the potential of multifunctional nanoparticles. Expert Review of Clinical Pharmacology. 2(3). 265–282. 23 indexed citations
20.
D’Addio, Suzanne M., Michael Kennedy, Aleksander Świetłow, et al.. (2009). Protected Peptide Nanoparticles: Experiments and Brownian Dynamics Simulations of the Energetics of Assembly. Nano Letters. 9(6). 2218–2222. 40 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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