Suzanne M. D’Addio

26 total papers · 1.1k total citations
20 papers, 916 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 916 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 Germany. Suzanne M. D’Addio's co-authors include Robert K. Prud’homme, John Gar Yan Chan, Hak‐Kim Chan, Philip Chi Lip Kwok, 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

18 papers receiving 886 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suzanne M. D’Addio 267 251 237 224 171 20 916
Claire Gueutin 360 1.3× 338 1.3× 216 0.9× 329 1.5× 209 1.2× 44 1.2k
Hanqing Zhao 214 0.8× 233 0.9× 316 1.3× 252 1.1× 217 1.3× 50 982
Yukinori Yamauchi 173 0.6× 287 1.1× 178 0.8× 200 0.9× 215 1.3× 80 1.1k
Roudayna Diab 334 1.3× 229 0.9× 249 1.1× 338 1.5× 191 1.1× 16 1.1k
Anne‐Claude Couffin 544 2.0× 219 0.9× 258 1.1× 355 1.6× 229 1.3× 23 1.2k
Suneel Pandey 422 1.6× 306 1.2× 306 1.3× 303 1.4× 163 1.0× 10 1.1k
Sandeep Kumar 258 1.0× 174 0.7× 208 0.9× 347 1.5× 215 1.3× 22 1.1k
A. Laouini 326 1.2× 266 1.1× 229 1.0× 347 1.5× 82 0.5× 12 971
Andrew Otte 367 1.4× 498 2.0× 242 1.0× 266 1.2× 182 1.1× 33 1.2k
Kurt D. Ristroph 181 0.7× 295 1.2× 176 0.7× 196 0.9× 127 0.7× 35 808

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

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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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